Adaptive active fault-tolerant MPPT control of variable-speed wind turbine considering generator actuator failure

Chen, Jian, Yao, Wei, Lu, Qun, Ren, Yaxing, Duan, Wenyong, Kan, Jiarong and Jiang, Lin ORCID: 0000-0001-6531-2791 (2022) Adaptive active fault-tolerant MPPT control of variable-speed wind turbine considering generator actuator failure. International Journal of Electrical Power and Energy Systems, 143. p. 108443.

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Official URL: http://dx.doi.org/10.1016/j.ijepes.2022.108443

Abstract

In order to ensure that the wind power system (WPS) can realize maximum power point tracking (MPPT) under generator side fault, an MPPT control system with adaptive active fault tolerance capability is proposed in this paper. The basic idea of the proposed control strategy is that a perturbation term containing model uncertainties, system nonlinearities and unknown disturbances (generator actuator failure and disturbance torque) is estimated in real-time by a designed observer. The estimated perturbation is used for the compensation of actual perturbation. Then, an adaptive feedback linearizing control of variable-speed wind turbine (VSWT) system can be realized. Therefore, the control strategy neither requires detailed system model and full state measurements, nor relies on fault detection, diagnosis and isolation techniques when the generator actuator fails. Simulation results show that the proposed control scheme has smaller tracking error and better dynamic performance than the traditional PI control and MPPT control, and higher robustness against system parameter uncertainties, disturbance torque and generator actuator failure than the nonlinear static state feedback based MPPT (NSSF-MPPT) control, traditional PI control and MPPT control.

Item Type:	Article
Uncontrolled Keywords:	Wind power system, Adaptive active fault-tolerant MPPT control, Nonlinear adaptive control, Generator actuator failure, Maximum power point tracking
Divisions:	Faculty of Science and Engineering > School of Electrical Engineering, Electronics and Computer Science
Depositing User:	Symplectic Admin
Date Deposited:	20 Jul 2022 09:23
Last Modified:	04 Jul 2023 01:30
DOI:	10.1016/j.ijepes.2022.108443
Related URLs:	Author Publisher
URI:	https://livrepository.liverpool.ac.uk/id/eprint/3158941