Research article

Adaptive online auto-tuning using Particle Swarm optimized PI controller with time-variant approach for high accuracy and speed in Dual Active Bridge converter

  • Received: 26 January 2023 Revised: 22 March 2023 Accepted: 30 March 2023 Published: 08 May 2023
  • Electric vehicles (EVs) are an emerging technology that contribute to reducing air pollution. This paper presents the development of a 200 kW DC charger for the vehicle-to-grid (V2G) application. The bidirectional dual active bridge (DAB) converter was the preferred fit for a high-power DC-DC conversion due its attractive features such as high power density and bidirectional power flow. A particle swarm optimization (PSO) algorithm was used to online auto-tune the optimal proportional gain (KP) and integral gain (KI) value with minimized error voltage. Then, knowing that the controller with fixed gains have limitation in its response during dynamic change, the PSO was improved to allow re-tuning and update the new KP and KI upon step changes or disturbances through a time-variant approach. The proposed controller, online auto-tuned PI using PSO with re-tuning (OPSO-PI-RT) and one-time (OPSO-PI-OT) execution were compared under desired output voltage step changes and load step changes in terms of steady-state error and dynamic performance. The OPSO-PI-RT method was a superior controller with 98.16% accuracy and faster controller with 85.28 s-1 average speed compared to OPSO-PI-OT using controller hardware-in-the-loop (CHIL) approach.

    Citation: Suliana Ab-Ghani, Hamdan Daniyal, Abu Zaharin Ahmad, Norazila Jaalam, Norhafidzah Mohd Saad, Nur Huda Ramlan, Norhazilina Bahari. Adaptive online auto-tuning using Particle Swarm optimized PI controller with time-variant approach for high accuracy and speed in Dual Active Bridge converter[J]. AIMS Electronics and Electrical Engineering, 2023, 7(2): 156-170. doi: 10.3934/electreng.2023009

    Related Papers:

    [1] Qing Yang, Chuanzhi Bai . Fixed point theorem for orthogonal contraction of Hardy-Rogers-type mapping on O-complete metric spaces. AIMS Mathematics, 2020, 5(6): 5734-5742. doi: 10.3934/math.2020368
    [2] Menaha Dhanraj, Arul Joseph Gnanaprakasam, Gunaseelan Mani, Rajagopalan Ramaswamy, Khizar Hyatt Khan, Ola Ashour A. Abdelnaby, Stojan Radenović . Fixed point theorem on an orthogonal extended interpolative ψF-contraction. AIMS Mathematics, 2023, 8(7): 16151-16164. doi: 10.3934/math.2023825
    [3] Khalil Javed, Muhammad Naeem, Fahim Ud Din, Muhammad Rashid Aziz, Thabet Abdeljawad . Existence of fixed point results in orthogonal extended b-metric spaces with application. AIMS Mathematics, 2022, 7(4): 6282-6293. doi: 10.3934/math.2022349
    [4] Gunaseelan Mani, Arul Joseph Gnanaprakasam, Choonkil Park, Sungsik Yun . Orthogonal F-contractions on O-complete b-metric space. AIMS Mathematics, 2021, 6(8): 8315-8330. doi: 10.3934/math.2021481
    [5] Joginder Paul, Mohammad Sajid, Naveen Chandra, Umesh Chandra Gairola . Some common fixed point theorems in bipolar metric spaces and applications. AIMS Mathematics, 2023, 8(8): 19004-19017. doi: 10.3934/math.2023969
    [6] Muhammad Tariq, Mujahid Abbas, Aftab Hussain, Muhammad Arshad, Amjad Ali, Hamid Al-Sulami . Fixed points of non-linear set-valued (α,ϕM)-contraction mappings and related applications. AIMS Mathematics, 2022, 7(5): 8861-8878. doi: 10.3934/math.2022494
    [7] S. S. Razavi, H. P. Masiha, Hüseyin Işık, Hassen Aydi, Choonkil Park . On Geraghty -contractions in O-metric spaces and an application to an ordinary type differential equation. AIMS Mathematics, 2022, 7(9): 17393-17402. doi: 10.3934/math.2022958
    [8] Abdullah Eqal Al-Mazrooei, Jamshaid Ahmad . Fixed point approach to solve nonlinear fractional differential equations in orthogonal F-metric spaces. AIMS Mathematics, 2023, 8(3): 5080-5098. doi: 10.3934/math.2023255
    [9] Arul Joseph Gnanaprakasam, Gunaseelan Mani, Jung Rye Lee, Choonkil Park . Solving a nonlinear integral equation via orthogonal metric space. AIMS Mathematics, 2022, 7(1): 1198-1210. doi: 10.3934/math.2022070
    [10] Gunaseelan Mani, Arul Joseph Gnanaprakasam, Vidhya Varadharajan, Fahd Jarad . Solving an integral equation vian orthogonal neutrosophic rectangular metric space. AIMS Mathematics, 2023, 8(2): 3791-3825. doi: 10.3934/math.2023189
  • Electric vehicles (EVs) are an emerging technology that contribute to reducing air pollution. This paper presents the development of a 200 kW DC charger for the vehicle-to-grid (V2G) application. The bidirectional dual active bridge (DAB) converter was the preferred fit for a high-power DC-DC conversion due its attractive features such as high power density and bidirectional power flow. A particle swarm optimization (PSO) algorithm was used to online auto-tune the optimal proportional gain (KP) and integral gain (KI) value with minimized error voltage. Then, knowing that the controller with fixed gains have limitation in its response during dynamic change, the PSO was improved to allow re-tuning and update the new KP and KI upon step changes or disturbances through a time-variant approach. The proposed controller, online auto-tuned PI using PSO with re-tuning (OPSO-PI-RT) and one-time (OPSO-PI-OT) execution were compared under desired output voltage step changes and load step changes in terms of steady-state error and dynamic performance. The OPSO-PI-RT method was a superior controller with 98.16% accuracy and faster controller with 85.28 s-1 average speed compared to OPSO-PI-OT using controller hardware-in-the-loop (CHIL) approach.



    The field of fixed point theory which mainly cares about the presence and uniqueness of fixed points is one of the most researched areas in the last hundred years. In 1922, Stefan Banach [3] indicated his well known theorem on the presence and uniqueness of a fixed point of exact self maps presented on exact metric spaces for the first time. Particularly, this valuable theorem can be established as below: (K,d) is a complete metric space, h is a self mapping on this complete metric space satisfying the condition

    d(hk,hl)λd(k,l), for all k,lK,λ(0,1). (1.1)

    In this case h has a unique fixed point.

    This theorem has been used to show the presence and uniqueness of the solution of differential equation

    y(x)=F(x,y);y(x0)=y0 (1.2)

    where F is a continuously differentiable function.

    A lot of researchers have been studied on fixed point theory and gave some generalization of Banach Contraction Principle on complete metric. (See [7,8,14,16,24]) Studies in this area have been conducted with two important techiniques; one of them is change the contractive condition of mappings and the other is to replace the existing metric with a more general one.

    As one of the results in the first technique, Khan et al. [17] enlarged the research of the metric fixed point theory to a new category by presenting a control function which they called an altering distance in 1984.

    Definition 1. ([17]) Let η:[0,)[0,) be a function which satisfies

    (i) η(s) is continuous and nondecreasing,

    (ii) η(s)=0 s=0

    properties. Then η is named altering distance function. And Δ is denoted as the set of altering distance functions η.

    Theorem 2. ([17]) Let (K,d) be a complete metric space, let η be an altering distance function and let h:KK be a self mapping which satisfies the folowing inequality:

    η(d(hk,hl))αη(d(k,l)) (1.3)

    for all k,lK and for some α(0,1). In this case h has a unique fixed point.

    Altering distance functions have been used in metric fixed point theory in a lot of papers. (See [2,20,26,27]).

    Alber and Guerre-Delabriere [1] presented the notion of weak contractions, which is an another generalization of the contraction principle, in Hilbert Spaces in 1997. Also this notion was enlarged to metric spaces by Rhoades [25] in 2001. Then Doric [9] introduced and studied (ψϕ)-weak contractions in metric spaces and further developed by Proinov [21].

    Definition 3. ([25]) Let (K,d) be a metric space, let η be an altering distance function and let h:KK be a self mapping which satisfies the folowing inequality

    d(hk,hl)d(k,l)η(d(k,l)) (1.4)

    where k,lK. In this case h is said to be weakly contractive mapping.

    Theorem 4. ([25]) Let (K,d) be a complete metric space, let h:KK be a weakly contractive mapping. After that h has a unique fixed point.

    And as one of the results in the second technique, Gordji et al. [12] presented the concept of an orthogonal set and orthogonal metric spaces in 2017. In their article, extension of Banach fixed point theorem was proved. Also they applied their obtained consequences to indicate the presence of a solution of an ordinary differential equation. Then Gordji and Habibi [10] defined a new concept of generalized orthogonal metric space and they applied the obtained results to show presence and uniqueness of solution of Cauchy problem for the first order differential equation. Recently, some fixed point theorems on various orthogonal metric spaces have been given. (See [4,5,6,11,15,18,19,22,23,28,29,30,31,32]).

    On the other hand, Bilgili Gungor and Turkoglu [13] presented some fixed point theorems via altering distance functions on orthogonal metric spaces inspired by [12,17]. In this paper, presence and uniqueness of fixed points of the generalizations of contraction principle via auxiliary functions are proved inspired by [12,25]. And some consequences and an illustrative example are presented.

    Other than, homotopy theory constitute an important area of algebraic topology, but the application of fixed point results in orthogonal metric spaces to homotopy has not been done until now. As a different application in this field, the homotopy application of the one of the corollaries is given at the end of this paper.

    In the sequel, respectively, Z,R,N denote integers, real numbers and positive integers.

    Definition 5. ([12]) Let K be a non-empty set, ⊥⊆K×K be a binary relation. (K,) is called orthogonal set if satisfies the following condition

    k0K;(lK,lk0)(lK,k0l). (1.5)

    And also this k0 element is named orthogonal element.

    Example 6. ([10]) Let K=Z and define ab if there exists tZ such that a=tb. It is effortless to see that 0b for all bZ. On account of this (K,) is an O-set.

    This k0 element does not have to be unique. For example;

    Example 7. ([10]) Let K=[0,), define kl if kl{k,l}, then by setting k0=0 or k0=1, (K,) is an O-set.

    Definition 8. ([12]) A sequence {kn} is named orthogonal sequence if

    (nN;knkn+1)(nN;kn+1kn). (1.6)

    In the same way, a Cauchy sequence {kn} is named to be an orthogonally Cauchy sequence if

    (nN;knkn+1)(nN;kn+1kn). (1.7)

    Definition 9. ([12]) Let (K,) be an orthogonal set, d be a usual metric on K. Afterwards (K,,d) is named an orthogonal metric space.

    Definition 10. ([12]) An orthogonal metric space (K,,d) is named to be a complete orthogonal metric space if every orthogonally Cauchy sequence converges in K.

    Definition 11. ([12]) Let (K,,d) be an orthogonal metric space and a function h:KK is named to be orthogonally continuous at k if for each orthogonal sequence {kn} converging to k implies hknhk as n. Also h is orthogonal continuous on K if h is orthogonal continuous in each kK.

    Definition 12. ([12]) Let (K,,d) be an orthogonal metric space and αR, 0<α<1. A function h:KK is named to be orthogonal contraction with Lipschitz constant α if

    d(hk,hl)αd(k,l) (1.8)

    for all k,lK whenever kl.

    Definition 13. ([12]) Let (K,,d) be an orthogonal metric space and a function h:KK is named orthogonal preserving if hkhl whenever kl.

    Remark 14. The authors of [10] gave an example which shows the orthogonal continuity and orthogonal contraction are weaker than the classic continuity and classic contraction in classic metric spaces.

    Theorem 15. ([12]) Let (K,,d) be an orthogonal complete metric space, 0<α<1 and let h:KK be orthogonal continuous, orthogonal contraction (with Lipschitz constant α) and orthogonal preserving. Afterwards h has a unique fixed point kK and limnhn(k)=k for all kK.

    And in [13], notable fixed point theorems on orthogonal metric spaces via altering distance functions are presented by Bilgili Gungor and Turkoglu.

    Theorem 16. Let (K,,d) be an orthogonal complete metric space, h:KK be a self map, κ,ηΔ and κ is a sub-additive function. Assume that h is orthogonal preserving self mapping satisfying the inequality

    κ(d(hk,hl))κ(N(k,l))η(N(k,l)) (2.1)

    for all k,lK where kl and kl and

    N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}. (2.2)

    At that rate, there exists a point kK such that for any orthogonal element k0K, the iteration sequence {hnk0} converges to this point. And, if h is orthogonal continuous at kK, then kK is a unique fixed point of h.

    Proof. Because of (K,) is an orthogonal set,

    k0K;(kK,kk0)(kK,k0k). (2.3)

    And from h is a self mapping on K, for any orthogonal element k0K, k1K can be chosen as k1=h(k0). Thus,

    k0hk0hk0k0k0k1k1k0. (2.4)

    Then, if we continue in the same way

    k1=hk0,k2=hk1=h2k0,...,kn=hkn1=hnk0, (2.5)

    so {hnk0} is an iteration sequence.

    If any nN,kn=kn+1 then kn=hkn and so h has a fixed point. Assume that knkn+1 for all nN. Since h is orthogonal preserving, {hnk0} is an orthogonal sequence and by using inequality (2.1)

    κ(d(kn+1,kn))=κ(d(hkn,hkn1))κ(N(kn,kn1))η(N(kn,kn1)) (2.6)

    where

    N(kn,kn1)=max{d(kn,kn1),d(kn,hkn),d(kn1,hkn1),12{d(kn,hkn1)+d(kn1,hkn)}}=max{d(kn,kn1),d(kn,kn+1),d(kn1,kn),12{d(kn,kn)+d(kn1,kn+1)}}=max{d(kn,kn1),d(kn,kn+1)}. (2.7)

    If N(kn,kn1)=d(kn,kn+1) then

    κ(d(kn+1,kn))κ(d(kn,kn+1))η(d(kn,kn+1)) (2.8)

    is obtained. It is a contradiction. And so N(kn,kn1)=d(kn,kn1). Thus,

    κ(d(kn+1,kn))κ(d(kn,kn1))η(d(kn,kn1)). (2.9)

    Using the monotone property of κΔ, {d(kn+1,kn)} is a sequence of decreasing nonnegative real numbers. Thus there is a m0 and limnd(kn+1,kn)=m. We will show that m=0. Assume, conversely, that m>0. At that rate, by passing to the limit n in inequality (2.9) and using κ,η are continuous functions, we obtain

    κ(m)κ(m)η(m). (2.10)

    This is a inconsistency. So we get m=0. Now we prove that {kn} is an orthogonally Cauchy sequence. If {kn} is not an orthogonally Cauchy sequence, there exists ϵ>0 and corresponding subsequences {t(n)} and {s(n)} of N satisfying t(n)>s(n)>n for which

    d(kt(n),ks(n))ϵ (2.11)

    and where t(n) is chosen as the smallest integer satisfying (2.11), that is

    d(kt(n)1,ks(n))<ϵ. (2.12)

    By (2.11), (2.12) and triangular inequality of d, we easily derive that

    εd(kt(n),ks(n))d(kt(n),kt(n)1)+d(kt(n)1,ks(n))<d(kt(n),kt(n)1)+ϵ. (2.13)

    Letting n, by using limnd(kn+1,kn)=m=0, we get

    limnd(kt(n),ks(n))=ϵ. (2.14)

    And, for each nN, by using the triangular inequality of d,

    d(kt(n),ks(n))d(kt(n),kt(n)+1)d(ks(n)+1,ks(n))d(kt(n)+1,ks(n)+1)d(kt(n),kt(n)+1)+d(kt(n),ks(n))+d(ks(n)+1,ks(n)). (2.15)

    Taking limit when n in the last inequality we obtain

    d(kt(n)+1,ks(n)+1)=ϵ. (2.16)

    Using the inequality (2.1),

    κ(d(kt(n)+1,ks(n)+1))=κ(d(hkt(n),hks(n)))κ(N(kt(n),ks(n)))η(N(kt(n),ks(n))) (2.17)

    where

    N(kt(n),ks(n))=max{d(kt(n),ks(n)),d(kt(n),hkt(n)),d(ks(n),hks(n)),12{d(kt(n),hks(n))+d(ks(n),hkt(n))}}=max{d(kt(n),ks(n)),d(kt(n),kt(n)+1),d(ks(n),ks(n)+1),12{d(kt(n),ks(n)+1)+d(ks(n),kt(n)+1)}}. (2.18)

    Taking limit when n in the last inequality we obtain

    κ(ϵ)κ(ϵ)η(ϵ). (2.19)

    It is a inconsistency. Thus {kn} is a orthogonally Cauchy sequence. By the orthogonally completeness of K, there exists kK such that {kn}={hnk0} converges to this point.

    Now it can be shown that k is a fixed point of h when h is orthogonal continuous at kK. Suppose that h is orthogonal continuous at kK. Therefore,

    k=limnkn+1=limnhkn=hk. (2.20)

    thus kK is a fixed point of h.

    Currently we can be show the uniqueness of the fixed point. Assume that there exist two distinct fixed points k and l. Then,

    (i) If kllk, by using the inequality (2.1)

    κ(d(k,l))=κ(d(hk,hl))κ(N(k,l))η(N(k,l)) (2.21)

    where

    N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}=d(k,l). (2.22)

    And so

    κ(d(k,l))κ(d(k,l))η(d(k,l)) (2.23)

    is obtained. This is a inconsistency and kK is an unique fixed point of h.

    (ii) If not, for the chosen orthogonal element k0K,

    [(k0k)(k0l)][(kk0)(lk0)] (2.24)

    and since h is orthogonal preserving,

    [(hknk)(hknl)][(khkn)(lhkn)] (2.25)

    is obtained. And by using the triangular inequality of d, κ is nondecreasing sub-additive function and the inequality (2.1)

    κ(d(k,l))=κ(d(hk,hl))κ(d(hk,hkn+1)+d(hkn+1,hl))κ(d(hk,h(hkn)))+κ(d(h(hkn),hl))κ(N(k,hkn))η(N(k,hkn))+κ(N(hkn,l))η(N(hkn,l)), (2.26)

    where

    N(k,hkn)=max{d(k,hkn),d(k,hk),d(kn,h(hkn)),12{d(k,h(hkn))+d(hkn,hk)}} (2.27)

    and

    N(hkn,l)=max{d(hkn,l),d(hkn,h(hkn)),d(l,hl),12{d(hkn,h(l))+d(l,h(hkn))}}, (2.28)

    in the last inequality taking limit n, we obtain k=l. Thus, kK is a unique fixed point of h.

    Setting κ=I in Theorem 16, we conclude the following corollary.

    Corollary 17. Let (K,,d) be an orthogonal complete metric space, h:KK be a self map, ηΔ. Assume that h is orthogonal preserving self mapping satisfying the inequality

    d(hk,hl)N(k,l)η(N(k,l)) (2.29)

    for all k,lK where kl,kl and

    N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}. (2.30)

    At that rate, there exists a point kK such that for any orthogonal element k0K, the iteration sequence {hnk0} converges to this point. And if h is orthogonal continuous at kK, then kK is a unique fixed point of h.

    Setting κ=I and η(s)=(1δ)s (s(0,),δ(0,1)) in Theorem 16, we conclude the following corollary.

    Corollary 18. Let (K,,d) be an orthogonal complete metric space, h:KK be a self map, δR where 0<δ<1. Assume that h is orthogonal preserving self mapping satisfying the inequality

    d(hk,hl)δN(k,l) (2.31)

    for all k,lK where kl,kl and

    N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}. (2.32)

    In this case, there exists a point kK such that for any orthogonal element k0K, the iteration sequence {hnk0} converges to this point. And if h is orthogonal continuous at hK, then kK is a unique fixed point of h.

    Corollary 19. Let (K,,d) be an orthogonal complete metric space, h:KK be a self map, δR where 0<δ<1. Assume that h is orthogonal preserving self mapping satisfying the inequality

    d(hk,hl)0ϑ(ζ)d(ζ)δmax{d(k,l),d(k,hk),d(l,h)l,12{d(k,hl)+d(l,hk)}0ϑ(ζ)d(ζ) (2.33)

    for all k,lK where kl,kl and ϑ:R+R+ is a Lebesque integrable mapping which is summable and ϵ0ϑ(ζ)d(ζ)>0 (for each ϵ>0). In this case, there exists a point kK such that for any orthogonal element k0K, the iteration sequence {hnk0} converges to this point. Also, if h is orthogonal continuous at kK, then kK is a unique fixed point of h.

    Proof. Choose κ(s)=s0ϑ(ζ)d(ζ) and η(t)=(1δ)s0θ(ζ)d(ζ) (for all s[0,)). Clearly κ,ηΔ and κ is a sub-additive function. Now, in view of Theorem 16, result follows.

    Remark 20. The main theorem in [12] is the result of Theorem 16. (In Theorem 16, let N(k,l)=d(k,l), κ=I and η(s)=(1δ)s (s(0,),δ(0,1)).)

    Example 21. Let K=[0,1) be a set and define the d:K×KK such that d(k,l)=∣kl. Also, let the binary relation on K such that klklmax{k3,l3}. Then, (K,) is an orthogonal set and d is a metric on K. So (K,,d) is an orthogonal metric space. In this space, any orthogonally Cauchy sequence is convergent. Indeed, suppose that (kn) is an arbitrary orthogonal Cauchy sequence in K. Then

    kn.kn+1kn3 or kn.kn+1kn+13kn(kn+113)0 or kn+1(kn13)0(kn=0 or kn+113) or (kn+1=0 or kn13) (2.34)

    and for any ϵ>0 there exists a n0N, for all nN that is nn0,

    knkn+1∣<ϵ (2.35)

    is provided. So, for any ϵ>0 and for all nN, that is nn0, kn0∣<ϵ that is {kn} is convergent to 0K. Thus (K,,d) is a complete orthogonal metric space. Remark that, (K,d) is not a complete sub-metric space of (R,d) because of K is not a closed subset of (R,d).

    Let κ:[0,)[0,) be defined as κ(s)=s2 and let η:[0,)[0,) be defined as η(s)=s3. Also let h:KK be defined as

    h(k)={k3,k13,0,k>13. (2.36)

    In this case, one can see that κ,ηΔ, κ is a sub-additive function. Also h is orthogonal preserving mapping. Indeed,

    kl(klk3) or (kll3). (2.37)

    Without loss of generality, suppose that klk3.

    So k=0 or l13. Then, there exists the following cases:

    Case I: k=0 and l13. Then h(k)=0 and h(l)=l3.

    Case II: k=0 and l>13. Then h(k)=h(l)=0.

    Case III: l13 and k13. Then h(l)=l3 and h(k)=k3.

    Case IV: l13 and k>13. Then h(l)=l3 and h(k)=0.

    These cases implies that h(k)h(l)h(k)3.

    On the other hand, h is orthogonal continuous at 0K. Indeed, assume that {kn} is an orthogonal sequence and kn0. In this case,

    (kn.kn+1kn3) or (kn.kn+1kn+13)(kn=0 or kn+113) or (kn+1=0 or kn13) (2.38)

    and also because of kn0, for any ε>0 there exists a n0N, for all nN that is n>n0, kn<ϵ is obtained. So, for all nN that is n>n0, kn[0,13]. Therefore, from the definition of h, for the same n0N that is n>n0, h(xn)h(0)∣<ϵ that is h(xn)h(0)=0.

    Now, it can be shown that h is a self mapping satisfying the inequality (2.1) for all k,lK where kl and kl and

    N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}. (2.39)

    Assume that k,lK two element of K, kl and kl. In this case

    (klk3) or (kll3). (2.40)

    Without loss of generality, suppose that klk3.

    So k=0 or l13. Then there exist the following cases:

    Case I: If k=0 and l13. Then h(k)=0 and h(l)=l3.

    κ(d(hk,hl))=0l32=l6,N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}=l,κ(N(k,l))=l2,η(N(k,l))=l3. (2.41)

    So κ(d(hk,hl))=l6l2l3=κ(N(k,l))η(N(k,l)).

    Case II: If k=0 and l>13. Then hk=hl=0.

    κ(d(hk,hl))=0,N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,h)k}}=l,κ(N(k,l))=l2,η(N(k,l))=l3. (2.42)

    So κ(d(hk,hl))=0l2l3=κ(N(k,l))η(N(k,l)).

    Case III: If l13 and k13. Then hl=l3 and hk=k3.

    Without loss of generality, suppose that 0lk13. Then,

    κ(d(hk,hl))=k3l32=kl6,N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,hl)+d(l,hk)}}=max{kl,2k3,2l3,12{kl3+lk3}}. (2.43)

    Now there are two cases:

    (i) If k3l, then lk3 and so klkk3=2k3. Also because of lk we get 2l32k3 and k+l32k3. Thus N(k,l)=max{kl,2k3,2l3,k+l3}=2k3 and so κ(N(k,l))=k3 and η(N(k,l))=2k9.

    (ii) If lk3, then k3l and so kk3=2k3kl. Also because of lk we get 2l32k3 and 2k2l32k3. Thus N(k,l)=max{kl,2k3,2l3,2k2l3}=kl and so κ(N(k,l))=kl2 and η(N(k,l))=kl3.

    In both cases it can be easily seen that κ(d(hk,hl))κ(N(k,l))η(N(k,l)).

    Case IV: If l13 and k>13. Then hl=l3 and hk=0.

    κ(d(hk,hl))=0l32=l6,N(k,l)=max{d(k,l),d(k,hk),d(l,hl),12{d(k,h)l+d(l,hk)}}=k,κ(N(k,l))=k2,η(N(k,l))=k3. (2.44)

    So κ(d(hk,hl))=l6k2k3=κ(N(k,l))η(N(k,l)).

    Consequently, h is a self mapping satisfying the inequality (2.1) for all k,lK whenever kl and kl. Thus, all hypothesis of Theorem 16 satisfy and so, it is evident that h has a unique fixed point 0K.

    Theorem 22. Let (K,,d) be an orthogonal complete metric space. Let W be a nonempty open subset of orthogonal elements of K. Assume that H:¯W×[0,1]K with the following properties:

    (1) kH(k,s) for every kW and s[0,1] (here W denotes the boundary of W in K.)

    (2) For all k,l¯W where kl and kl and s[0,1],λ[0,1) such that

    d(H(k,s),H(l,s))λd(k,l). (3.1)

    (3) There exists L0, such that

    d(H(k,s),H(k,r))Lsr (3.2)

    for every k¯W and s,r[0,1].

    In this case H(.,0) has a fixed point in W if and only if H(.,1) has a fixed point in W.

    Proof. Determine the set

    M={s[0,1]:k=H(k,s) for some kW}. (3.3)

    (⇒:) Because of H(.,0) has a fixed point in W, then M is nonempty, that is 0M. If it is shown that the M is both closed and open in [0,1], then from the connectedness of [0,1], it is obtained M=[0,1]. Therefore H(.,1) has a fixed point in W.

    Firstly, we show that M is closed in [0,1]. Let {sn} be a sequence in M where sns[0,1] as n. It must be shown that sM. Since snM for nN, there exists knW with kn=H(kn,sn). Also for n,mN,

    d(kn,km)=d(H(kn,sn),H(km,sm))d(H(kn,sn),H(kn,sm))+d(H(kn,sm),H(km,sm))Lsnsm+λd(kn,km), (3.4)

    that is,

    d(kn,km)(L1λ)snsm. (3.5)

    Since every convergent sequence in metric spaces is a Cauchy sequence, {sn} is a Cauchy sequence. Thus we obtain limn,md(kn,km)=0, that is {kn} is an orthogonally Cauchy sequence in K. Since K is an orthogonal complete there exists k¯W with limnd(kn,k)=0. Letting n in the following inequality,

    d(kn,H(k,s))=d(H(kn,sn),H(k,s))d(H(kn,sn),H(kn,s))+d(H(kn,s),H(k,s))Lsns+λd(kn,k), (3.6)

    we get limnd(kn,H(k,s))=0 and hence

    limnd(kn,H(k,s))=d(k,H(k,s))=0 (3.7)

    that is H(k,s)=k. Thus sM is gotten and so M is closed in [0,1].

    Now, we continue with proving M is open in [0,1]. Let s0M and k0W with k0=H(k0,s0). There exists r0>0 such that Bd(k0,r0)W as W is open in K. Considering ϵ>0 with ϵ<(1λ)r0L.

    Let s(s0ϵ,s0+ϵ), then for k¯Bd(k0,r0)={kK:d(k,k0)r0},

    d(H(k,s),k0)=d(H(k,s),H(k0,s0))d(H(k,s),H(k,s0))+d(H(k,s0),H(k0,s0))Lss0+λd(k,k0)(1λ)r0+λr0=r0. (3.8)

    Thus for each fixed s(s0ϵ,s0+ϵ), H(.,s):¯Bd(k0,r0)¯Bd(k0,r0).

    Since all hypothesis of Corollary 18 hold, H(.,s) has a fixed point in ¯W. However it must be in W as (1) obtains. Therefore for any s0M, there exists an ϵ>0 and (s0ϵ,s0+ϵ)M. And so we obtain that M is open in [0,1].

    (⇐:) It can be shown similarly same argument in above.

    In the first part of this study, as a result of a comprehensive literature review, the developments related to the existence of fixed points for mappings that provide the appropriate contraction conditions from the beginning of the fixed point theory studies are mentioned, and then the general subject of this study is emphasized.

    In this paper, presence and uniqueness of fixed points of the generalizations of contraction principle via auxiliary functions are proved inspired by [12,25]. And some consequences and an illustrative example are presented.

    Other than, homotopy theory constitute an important area of algebraic topology, but the application of fixed point results in orthogonal metric spaces to homotopy has not been done until now. As a different application in this field, the homotopy application of the one of the corollaries is given at the end of this paper.

    The results of this paper, not only generalize the analogous fixed point theorems but are relatively simpler and more natural than the related ones. The results of this paper are actually three-fold: a relatively more general contraction condition is used, the continuity of the involved mapping is weakened to orthogonal continuity, the comparability conditions used by previous authors between elements are replaced by orthogonal relatedness.

    The author thanks all referees for their notable ideas, suggestions and comments that helped to develop this article.

    The author declares that there is no conflict interest regarding the publication of this article.



    [1] Bose BK (2010) Global warming: Energy, Environmental Pollution, and the Impact of Power Electronics. IEEE Ind Electron Mag 4: 6–17. https://doi.org/10.1109/MIE.2010.935860 doi: 10.1109/MIE.2010.935860
    [2] Khan SA, Islam R, Guo Y, Zhu J (2019) A New Isolated Multi-Port Converter With Multi-Directional Power Flow Capabilities for Smart Electric Vehicle Charging Stations. IEEE T Appl Supercon 29: 1–4. https://doi.org/10.1109/TASC.2019.2895526 doi: 10.1109/TASC.2019.2895526
    [3] Latifi M, Rastegarnia A, Khalili A, Sane S (2018) Agent-Based Decentralized Optimal Charging Strategy for Plug-in Electric Vehicles. IEEE T Ind Electron 66: 3668–3680. https://doi.org/10.1109/TIE.2018.2853609 doi: 10.1109/TIE.2018.2853609
    [4] Richardson DB (2013) Electric vehicles and the electric grid : A review of modeling approaches, Impacts, and renewable energy integration. Renew Sustain Energy Rev 19: 247–254. https://doi.org/10.1016/j.rser.2012.11.042 doi: 10.1016/j.rser.2012.11.042
    [5] Rubino L, Capasso C, Veneri O (2017) Review on plug-in electric vehicle charging architectures integrated with distributed energy sources for sustainable mobility. Appl Energy 207: 438–464. https://doi.org/10.1016/j.apenergy.2017.06.097 doi: 10.1016/j.apenergy.2017.06.097
    [6] Ashique RH, Salam Z, Aziz MJ, Bhatti AR (2017) Integrated photovoltaic-grid dc fast charging system for electric vehicle : A review of the architecture and control. Renew Sustain Energy Rev 69: 1243–1257. https://doi.org/10.1016/j.rser.2016.11.245 doi: 10.1016/j.rser.2016.11.245
    [7] Blech T (2019) CHAdeMO DC charging standard: evolution strategy and new challenges.
    [8] Tan KM, Ramachandaramurthy VK, Yong JY (2016) Integration of electric vehicles in smart grid : A review on vehicle to grid technologies and optimization techniques. Renew Sustain Energy Rev 53: 720–732. https://doi.org/10.1016/j.rser.2015.09.012 doi: 10.1016/j.rser.2015.09.012
    [9] Sha D, Wang X, Chen D (2017) High-Efficiency Current-Fed Dual Active Bridge DC – DC Converter With ZVS Achievement Throughout Full Range of Load Using Optimized Switching Patterns. IEEE T Power Electron 33: 1347–1357. https://doi.org/10.1109/TPEL.2017.2675945 doi: 10.1109/TPEL.2017.2675945
    [10] Oggier GG, Garcia GO, Oliva AR (2009) Switching Control Strategy to Minimize Dual Active Bridge Converter Losses. IEEE T Power Electron 24: 1826–1838. https://doi.org/10.1109/TPEL.2009.2020902 doi: 10.1109/TPEL.2009.2020902
    [11] Waltrich G, Hendrix MA, Duarte JL (2015) Three-Phase Bidirectional DC / DC Converter With Six Inverter Legs in Parallel for EV Applications. IEEE T Ind Electron 63: 1372–1384. https://doi.org/10.1109/TIE.2015.2494001 doi: 10.1109/TIE.2015.2494001
    [12] Karthikeyan V, Gupta R (2017) Light-load efficiency improvement by extending ZVS range in DAB- bidirectional DC-DC converter for energy storage applications. Energy 130: 15–21. https://doi.org/10.1016/j.energy.2017.04.119 doi: 10.1016/j.energy.2017.04.119
    [13] De Doncker RW, Divan DM, Kheraluwala MH (1991) A Three-phase Soft-Switched High-Power-Density DC/DC Converter for High Power Applications. IEEE T Ind Appl 27: 63–73. https://doi.org/10.1109/28.67533 doi: 10.1109/28.67533
    [14] Zhang K, Shan Z, Jatskevich J (2017) Large- and Small-Signal Average-Value Modeling of Dual-Active-Bridge DC-DC Converter Considering Power Losses. IEEE T Power Electron 32: 1964–1974. https://doi.org/10.1109/TPEL.2016.2555929 doi: 10.1109/TPEL.2016.2555929
    [15] Park Y, Chakraborty S, Khaligh A (2022) DAB Converter for EV Onboard Chargers Using Bare-Die SiC MOSFETs and Leakage-Integrated Planar Transformer. IEEE T Transp Electr 8: 209–224. https://doi.org/10.1109/TTE.2021.3121172 doi: 10.1109/TTE.2021.3121172
    [16] Li L, Xu G, Xiong W, Liu D, Su M (2021) An Optimized DPS Control for Dual-Active-Bridge Converters to Secure Full-Load-Range ZVS With Low Current Stress. IEEE T Transp Electr 8: 1389–1400. https://doi.org/10.1109/TTE.2021.3106130 doi: 10.1109/TTE.2021.3106130
    [17] Deželak K, Bracinik P, Sredenšek K, Seme S (2021) Proportional-integral controllers performance of a grid-connected solar pv system with particle swarm optimization and ziegler–nichols tuning method. Energies 14: 2516. https://doi.org/10.3390/en14092516 doi: 10.3390/en14092516
    [18] Faisal SF, Beig AR, Thomas S (2020) Time Domain Particle Swarm Optimization of PI Controllers for Bidirectional VSC HVDC Light System. Energies 13: 866. https://doi.org/10.3390/en13040866 doi: 10.3390/en13040866
    [19] Hou N, Song W, Wu M (2016) Minimum-Current-Stress Scheme of Dual Active Bridge DC-DC Converter With Unified Phase-Shift Control. IEEE T Power Electron 31: 8552–8561. https://doi.org/10.1109/TPEL.2016.2521410 doi: 10.1109/TPEL.2016.2521410
    [20] Shi H, Wen H, Chen J, Hu Y, Jiang L, Chen G, et al. (2018) Minimum-Backflow-Power Scheme of DAB-Based Solid-State Transformer With Extended-Phase-Shift Control. IEEE T Ind Appl 54: 3483–3496. https://doi.org/10.1109/TIA.2018.2819120 doi: 10.1109/TIA.2018.2819120
    [21] Shi H, Wen H, Hu Y, Jiang L (2018) Reactive Power Minimization in Bidirectional DC – DC Converters Using a Unified-Phasor-Based Particle Swarm Optimization. IEEE T Power Electron 33: 10990–11006. https://doi.org/10.1109/TPEL.2018.2811711 doi: 10.1109/TPEL.2018.2811711
    [22] Hebala OM, Aboushady AA, Ahmed KH, Abdelsalam I (2018) Generic Closed Loop Controller for Power Regulation in Dual Active Bridge DC / DC Converter with Current Stress Minimization. IEEE T Ind Electron 66: 4468–4478. https://doi.org/10.1109/TIE.2018.2860535 doi: 10.1109/TIE.2018.2860535
    [23] Hassan M, Ge X, Woldegiorgis AT, Mastoi MS, Shahid MB, Atif R, et al. (2023) A look-up table-based model predictive torque control of IPMSM drives with duty cycle optimization. ISA T. https://doi.org/10.1016/j.isatra.2023.02.007 doi: 10.1016/j.isatra.2023.02.007
    [24] Xiong F, Wu J, Hao L, Liu Z (2017) Backflow Power Optimization Control for Dual Active Bridge DC-DC Converters. Energies 10: 1–27. https://doi.org/10.3390/en10091403 doi: 10.3390/en10091403
    [25] Tong A, Hang L, Li G, Jiang X, Gao S (2017) Modeling and Analysis of a DualActive-Bridge-Isolated Bidirectional DC/DC Converter to Minimize RMS Current With Whole Operating Range. IEEE T Power Electron 33: 5302–5316. https://doi.org/10.1109/TPEL.2017.2692276 doi: 10.1109/TPEL.2017.2692276
    [26] Jaalam N, Ahmad AZ, Khalid AM, Abdullah R, Saad NM, Ghani SA, et al. (2022) Low Voltage Ride through Enhancement Using Grey Wolf Optimizer to Reduce Overshoot Current in the Grid-Connected PV System. Math Probl Eng 2022: 3917775. https://doi.org/10.1155/2022/3917775 doi: 10.1155/2022/3917775
    [27] Salman SS, Humod AT, Hasan FA (2022) Optimum control for dynamic voltage restorer based on particle swarm optimization algorithm. Indonesian Journal of Electrical Engineering and Computer Science 26: 1351–1359. https://doi.org/10.11591/ijeecs.v26.i3.pp1351-1359 doi: 10.11591/ijeecs.v26.i3.pp1351-1359
    [28] Kumar R, Bansal HO, Gautam AR, Mahela OP, Khan B (2022) Experimental Investigations on Particle Swarm Optimization Based Control Algorithm for Shunt Active Power Filter to Enhance Electric Power Quality. IEEE Access 10: 54878–54890. https://doi.org/10.1109/ACCESS.2022.3176732 doi: 10.1109/ACCESS.2022.3176732
    [29] Borin LC, Mattos E, Osorio CR, Koch GG, Montagner VF (2019) Robust PID Controllers Optimized by PSO Algorithm for Power Converters. 2019 IEEE 15th Brazilian Power Electronics Conference and 5th IEEE Southern Power Electronics Conference, COBEP/SPEC, 1‒6. https://doi.org/10.1109/COBEP/SPEC44138.2019.9065642 doi: 10.1109/COBEP/SPEC44138.2019.9065642
    [30] Song W, Hou N, Wu M (2017) Virtual Direct Power Control Scheme of Dual Active Bridge DC – DC Converters for Fast Dynamic Response. IEEE T Power Electron 33: 1750–1759. https://doi.org/10.1109/TPEL.2017.2682982 doi: 10.1109/TPEL.2017.2682982
    [31] Hassan M, Ge X, Atif R, Woldegiorgis AT, Mastoi MS, Shahid MB (2022) Computational efficient model predictive current control for interior permanent magnet synchronous motor drives. IET Power Electron 15: 1111–1133. https://doi.org/10.1049/pel2.12294 doi: 10.1049/pel2.12294
    [32] Zeng D, Zheng Y, Luo W, Hu Y, Cui Q, Li Q, et al. (2019) Research on Improved Auto-Tuning of a PID Controller Based on Phase Angle Margin. Energies 12: 1–16. https://doi.org/10.3390/en12091704 doi: 10.3390/en12091704
    [33] Sun X, Qiu J (2021) A Customized Voltage Control Strategy for Electric Vehicles in Distribution Networks with Reinforcement Learning Method. IEEE T Ind Inform 17: 6852–6863. https://doi.org/10.1109/TII.2021.3050039 doi: 10.1109/TII.2021.3050039
    [34] Wang Y, Qiu D, Strbac G, Gao Z (2023) Coordinated Electric Vehicle Active and Reactive Power Control for Active Distribution Networks. IEEE T Ind Inform 19: 1611–1622. https://doi.org/10.1109/TII.2022.3169975 doi: 10.1109/TII.2022.3169975
    [35] Ab-Ghani S, Daniyal H, Jaalam N, Ramlan NH, Saad NM (2022) Time-Variant Online Auto-Tuned PI Controller Using PSO Algorithm for High Accuracy Dual Active Bridge DC-DC Converter. 2022 IEEE International Conference on Automatic Control and Intelligent Systems, I2CACIS, 36‒41. https://doi.org/10.1109/I2CACIS54679.2022.9815470 doi: 10.1109/I2CACIS54679.2022.9815470
    [36] Liu H, Song Q, Zhang C, Chen J, Deng B, Li J (2019) Development of bi-directional DC / DC converter for fuel cell hybrid vehicle. J Renew Sustain Energy 11: 44303. https://doi.org/10.1063/1.5094512 doi: 10.1063/1.5094512
    [37] Yang J, Liu J, Zhang J, Zhao N, Wang Y, Zheng TQ (2018) Multirate Digital Signal Processing and Noise Suppression for Dual Active Bridge DC DC Converters in a Power Electronic Traction Transformer. IEEE T Power Electron 33: 10885–10902. https://doi.org/10.1109/TPEL.2018.2803744 doi: 10.1109/TPEL.2018.2803744
    [38] Rodriquez A, Vazquez A, Lamar DG, Hernando MM, Sebastia J (2014) Different Purpose Design Strategies and Techniques to Improve the Performance of a Dual Active Bridge With Phase-Shift Control. IEEE T Power Electron 30: 790–804. https://doi.org/10.1109/TPEL.2014.2309853 doi: 10.1109/TPEL.2014.2309853
    [39] Kennedy J, Eberhart R (1995) Particle Swarm Optimization. Proc IEEE Int Conf Neural Networks 4: 1942–1948.
    [40] Ishaque K, Salam Z, Shamsudin A, Amjad M (2012) A direct control based maximum power point tracking method for photovoltaic system under partial shading conditions using particle swarm optimization algorithm. Appl Energy 99: 414–422. https://doi.org/10.1016/j.apenergy.2012.05.026 doi: 10.1016/j.apenergy.2012.05.026
    [41] Ishaque K, Salam Z, Amjad M, Mekhilef S (2012) An Improved Particle Swarm Optimization (PSO)– Based MPPT for PV With Reduced Steady-State Oscillation. IEEE T Power Electron 27: 3627–3638. https://doi.org/10.1109/TPEL.2012.2185713 doi: 10.1109/TPEL.2012.2185713
  • Reader Comments
  • © 2023 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Metrics

Article views(1979) PDF downloads(147) Cited by(0)

Figures and Tables

Figures(13)  /  Tables(2)

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog