Adaptive command-filtered fuzzy backstepping control for linear induction motor with unknown end effect

In this paper, the problem of the speed control is considered for linear induction motor with the end effects, uncertain system parameters, and external load disturbance. Firstly, the proposed controller is based on backstepping method, and the adaptive laws are designed.The fuzzy logic modeling app...

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Veröffentlicht in:Information sciences Jg. 477; S. 118 - 131
Hauptverfasser: Xu, Dezhi, Huang, Jie, Su, Xiaojie, Shi, Peng
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier Inc 01.03.2019
Schlagworte:
Backstepping
Command filter
End effect
Fuzzy logic system
Linear induction motor
Projection operator
End effect
Projection operator
Backstepping
Command filter
Linear induction motor
Fuzzy logic system
ISSN:0020-0255, 1872-6291
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Zusammenfassung:In this paper, the problem of the speed control is considered for linear induction motor with the end effects, uncertain system parameters, and external load disturbance. Firstly, the proposed controller is based on backstepping method, and the adaptive laws are designed.The fuzzy logic modeling approach is used to deal with the unknown nonlinear functions and uncertain parameters. Secondly, a constrained command filter is employed to overcome the problem of differential expansion and controller saturation in the backstepping method, and a filter’s compensating signal is used to mitigate the error caused by the constrained command filter. Thirdly, the projection operator introduced in the adaptive laws guarantees boundedness of the estimated functions and robustness of the designed controller in the presence of time-varying disturbances and uncertainties. Thus, the proposed control controller can ensure that all response signals in the closed-loop system are bounded. Finally, the effectiveness of the proposed controller is verified by simulation and comparison with command-filtered backstepping controller.
ISSN:0020-0255
1872-6291
DOI:10.1016/j.ins.2018.10.032