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Indexed by:Journal Papers

Date of Publication:2021-05-04

Journal:IET RENEWABLE POWER GENERATION

Volume:14

Issue:17

Page Number:3541-3549

ISSN No.:1752-1416

Key Words:uncertain systems; fuzzy control; control system synthesis; Lyapunov methods; stability; neurocontrollers; adaptive control; actuators; model reference adaptive control systems; power generation control; fuzzy neural nets; wind power plants; nonlinear control systems; fault tolerance; model uncertainties; variable pitch system; clustering-type fuzzy neural network; wind power generator system; health situations; health factor functions; model reference adaptive fault-tolerant control; a

Abstract:In view of the faults of the doubly-fed wind power generator system, the health situations of the system are described by the health factor functions. On this basis, the model reference adaptive fault-tolerant control method based on clustering-type fuzzy neural network is proposed. The proposed method can solve the adaptive control issues of wind power generator system with actuator faults, external interference and model uncertainties. The stability and the tracking performance of the system are guaranteed by using Lyapunov stability theorem. Finally, the effectiveness of the proposed method is proved by the fault-tolerant control of the pitch system of the doubly-fed wind power generator.