Prescribed-performance based finite-time adaptive fuzzy control for PV inverter in islanded systems

Dai, Yuchen; Zhang, Liyan; Liu, Guofu; Cui, Yang; Zhang, Dongdong; Huang, Xiaoning

doi:10.1016/j.ijepes.2021.107254

Cited by 10 publications

(1 citation statement)

References 34 publications

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“…To realize the effective control of PV grid-connected stabilization time and help the flexible management of grid-connected stabilization time, the realization method of stabilization time control is discussed [4] . Based on Lyapunov stability, the finite time stability principle allows a small set of systems converging to the origin in a finite time, but the upper limit of the stabilization time of the system varies with it due to the different initial states, which is an uncertain quantity [5] .…”

Section: Introductionmentioning

confidence: 99%

Predefined time backstepping control of photovoltaic grid connected inverter

Xu,

Ji,

Chen

et al. 2024

J. Phys.: Conf. Ser.

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The large-scale grid connection of photovoltaic (PV) systems creates great hazards to the operation of power equipment and has a great impact on the stability and reliability of power systems. To achieve stable control and flexible management of PV grid connection, a predefined time adaptive backstepping control method based on the predefined boundary is proposed. Based on the predefined boundary time-varying function, the user’s predefined boundary design of the control signal is accomplished to ensure the boundedness of the global signal, which is independent of the initial state of the system. The controller with predefined boundaries is designed based on backstepping control, and the estimation and compensation of perturbations are attained based on adaptive control. The global predefined time stability of the predefined boundary of the closed-loop system is certified using the Lyapunov function. Simulation studies attest to the performance of the predefined time control strategy.

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Section: Introductionmentioning

confidence: 99%

Predefined time backstepping control of photovoltaic grid connected inverter

Xu,

Ji,

Chen

et al. 2024

J. Phys.: Conf. Ser.

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Composite finite‐time output voltage tracking control of energy storage inverters with mismatched multiple disturbances

Huang,

Li,

Wang

et al. 2024

Asian Journal of Control

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This paper investigates the finite‐time output voltage tracking control problem of energy storage inverters. Multiple load conditions are simultaneously considered. To complete the tracking control task and enhance the power quality under different loads, a composite control scheme, which contains two parts, is proposed. In the first part, two finite‐time disturbance observers are established to estimate the mismatched multiple disturbances originating from load variations. In the second part, new integral‐type sliding‐mode surfaces embedding disturbance estimates and ‐axis couplings are designed, which not only feedforward compensate for the disturbances but also achieve decoupling. Based on the sliding‐mode surfaces, a composite controller is constructed. Compared with the existing results, the proposed controller is continuous and significantly reduces chattering. Moreover, with the novel decoupling strategy, the ‐axis coupling problem is solved precisely without generalizing the couplings as disturbances, which simplifies the observation task and further accelerates system convergence. Rigorous stability analysis is conducted to demonstrate the accomplishment of the finite‐time tracking task. Simulations and experiments are presented to validate the effects of the proposed control scheme.

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Command filter‐based adaptive fixed‐time control for uncertain nonlinear systems with prescribed performance and actuator fault

Yu,

Liu

2024

Intl J Robust & Nonlinear

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This article proposes a tracking control strategy based on fixed‐time for uncertain nonlinear systems with prescribed performance and actuator faults. Fuzzy logic systems are used to model unknown functions with uncertainties or fuzzy parameter features. The improvement of the conventional backstepping method through the introduction of command filtering technology has effectively addressed the challenge of a sharp increase in computational complexity during controller design. Additionally, a mechanism for error compensation has been established to mitigate the potential impact of errors that may arise during the filtering process on the system. Then, a new fixed‐time performance function is introduced into the adaptive backstepping method to ensure that the tracking signal with output error converges to an arbitrarily small neighborhood within a fixed time. Additionally, in order to enhance the tracking performance of the control method, the controller algorithm incorporates fault‐tolerant control based on the fixed‐time performance function. Finally, a numerical simulation of a power system with a static reactive power compensation device is presented, and demonstrate the effectiveness and feasibility of the proposed control algorithm.

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Prescribed-performance based finite-time adaptive fuzzy control for PV inverter in islanded systems

Cited by 10 publications

References 34 publications

Predefined time backstepping control of photovoltaic grid connected inverter

Predefined time backstepping control of photovoltaic grid connected inverter

Composite finite‐time output voltage tracking control of energy storage inverters with mismatched multiple disturbances

Command filter‐based adaptive fixed‐time control for uncertain nonlinear systems with prescribed performance and actuator fault

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