In the work, the observer-based control is designed and analyzed for a class of large-scale interconnected systems subject to parameter uncertainty. In the beginning, we build a large-scale interconnected system with parameter uncertainty and apply this model to a multi-level wireless power transfer system. By using this modeling method, the order of multi-level wireless power transfer system is greatly deduced. In addition, the multi-level wireless power transfer system include coupling terms and uncertain parameters considered in the observer-based control law design. We earn sufficient conditions of this model stability for multi-level wireless power transfer systems under this control law through the Lyapunov stability theorem and Young’s inequality. The stability analysis method suggested in the work could also be adopted in other practical plants. At last, the correctness and availability of this suggested approach are verified through simulation results.
CastilloAGarcíaPSanzR, et al. (2018) Enhanced extended state observer-based control for systems with mismatched uncertainties and disturbances. ISA Transactions73: 1–10.
2.
DabiriAButcherEAPoursinaM, et al. (2018) Optimal periodic-gain fractional delayed state feedback control for linear fractional periodic time-delayed systems. IEEE Transactions on Automatic Control63(4): 989–1002.
3.
DaiXHuangXSunY (2006) Study of frequency jump phenomenon observed in current-fed soft-switched converter. Transactions of China Electrotechnical Society21(6): 78–82.
4.
DaiXTangCSunY, et al. (2011) Investigating a H∞ control method considering frequency uncertainty for clc type inductively coupled power transfer system. In: Proceedings of the 2011 IEEE energy conversion congress and exposition, Phoenix, AZ, 17–22 September, pp. 2022–2027. New York: IEEE.
5.
DuDCocquempotV (2017) Fault diagnosis and fault tolerant control for discrete-time linear systems with sensor fault. IFAC-PapersOnLine50(1): 15754–15759.
6.
GalloAJBarboniAParisiniT (2020) On detectability of cyber-attacks for large-scale interconnected systems. IFAC-PapersOnLine53(2): 3521–3526.
7.
GritliHBelghithS (2018) Walking dynamics of the passive compass-gait model under OGY-based state-feedback control: Rise of the Neimark–Sacker bifurcation. Chaos, Solitons & Fractals110: 158–168.
8.
KhalilHK (2001) Nonlinear Systems (3rd edn). Hoboken, NJ: Prentice Hall.
9.
LiYLSunYDaiX (2013) Robust control for an uncertain LCL resonant ICPT system using LMI method. Control Engineering Practice21(1): 31–41.
10.
LiuHYuH (2018) Decentralized state estimation for a large-scale spatially interconnected system. ISA Transactions74: 67–76.
11.
LiuJGaoYSuX, et al. (2019) Disturbance-observer-based control for air management of PEM fuel cell systems via sliding mode technique. IEEE Transactions on Control Systems Technology27(3): 1129–1138.
12.
LuAYYangGH (2017) Event-triggered secure observer-based control for cyber-physical systems under adversarial attacks. Information Sciences420: 96–109.
13.
MaMWangTQiuJ, et al. (2021) Adaptive fuzzy decentralized tracking control for large-scale interconnected nonlinear networked control systems. IEEE Transactions on Fuzzy Systems29(10): 3186–3191.
14.
SuHZhangW (2017) A combined backstepping and dynamic surface control to adaptive fuzzy state-feedback control. International Journal of Adaptive Control and Signal Processing31(11): 1666–1685.
15.
SunSZhangHZhangJ, et al. (2021) Fault estimation and tolerant control for discrete-time multiple delayed fuzzy stochastic systems with intermittent sensor and actuator faults. IEEE Transactions on Cybernetics51(12): 6213–6225.
16.
SwainAAlmakhlesDNeathMJ, et al. (2017) Robust H∞ output feedback control of bidirectional inductive power transfer systems. Archives of Control Sciences27(1): 41–62.
17.
TongSLiY (2013) Adaptive fuzzy output feedback control of MIMO nonlinear systems with unknown dead-zone inputs. IEEE Transactions on Fuzzy Systems21(1): 134–146.
18.
WangXTanCP (2020) Dynamic output feedback fault tolerant control for unmanned underwater vehicles. IEEE Transactions on Vehicular Technology69(4): 3693–3702.
19.
WangYWLeiYBianT, et al. (2020) Distributed control of nonlinear multiagent systems with unknown and nonidentical control directions via event-triggered communication. IEEE Transactions on Cybernetics50(5): 1820–1832.
20.
XiXLiuTZhaoJ, et al. (2020) Output feedback fault-tolerant control for a class of nonlinear systems via dynamic gain and neural network. Neural Computing & Applications32: 5517–5530.
21.
YeXSunSJiangT, et al. (2022) Finite-time control for multiple time-delayed fuzzy large-scale systems against state and input constraints. IEEE Transactions on Fuzzy Systems30(12): 5390–5404.
22.
YuZSunYDaiX, et al. (2019) Stability and control of uncertain ICPT system considering time-varying delay and stochastic disturbance. International Journal of Robust and Nonlinear Control29(18): 6582–6604.
23.
ZhangHLiuCSuH, et al. (2021) Echo state network-based decentralized control of continuous-time nonlinear large-scale interconnected systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems51(10): 6293–6303.
24.
ZhangKJiangBStaroswieckiM (2010) Dynamic output feedback-fault tolerant controller design for Takagi–Sugeno fuzzy systems with actuator faults. IEEE Transactions on Fuzzy Systems18(1): 194–201.
25.
ZhangTGeSS (2009) Adaptive neural network tracking control of MIMO nonlinear systems with unknown dead zones and control directions. IEEE Transactions on Neural Networks20(3): 483–497.
26.
ZhangZYangCGeSS (2023) Decentralized adaptive control of large-scale nonlinear systems with time-delay interconnections and asymmetric dead-zone input. IEEE Transactions on Systems, Man, and Cybernetics: Systems53(4): 2259–2270.
