Adaptive NN control based on Butterworth low-pass filter for quarter active suspension systems with actuator failure

This paper focuses on the adaptive neural network (NN) control problem for nonlinear quarter active suspension systems with actuator failure. By using Butterworth low-pass filter (LPF), the second order active suspension system is converted to a fourth order system, which solves the problem of zero...

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Published inAIMS mathematics Vol. 6; no. 1; pp. 754 - 771
Main Authors Zhang, Xing, Liu, Lei, Liu, Yan-Jun
Format Journal Article
LanguageEnglish
Published AIMS Press 01.01.2021
Subjects
adaptive control
butterworth low-pass filter
fault tolerance
nn control
vehicle suspension systems
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ISSN2473-6988
2473-6988
DOI10.3934/math.2021046

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Abstract This paper focuses on the adaptive neural network (NN) control problem for nonlinear quarter active suspension systems with actuator failure. By using Butterworth low-pass filter (LPF), the second order active suspension system is converted to a fourth order system, which solves the problem of zero dynamics analysis in the second order system. Based on the adaptive backstepping technique, considering the actuator fault of vehicle, the corresponding fault tolerant controller is designed. At the same time, the unknown smooth functions are estimated by the NN. It is proved by stability analysis that all states in active suspension system are bounded. Finally, a simulation example is given to verify the effectiveness of the proposed method in a quarter active suspension system.
AbstractList This paper focuses on the adaptive neural network (NN) control problem for nonlinear quarter active suspension systems with actuator failure. By using Butterworth low-pass filter (LPF), the second order active suspension system is converted to a fourth order system, which solves the problem of zero dynamics analysis in the second order system. Based on the adaptive backstepping technique, considering the actuator fault of vehicle, the corresponding fault tolerant controller is designed. At the same time, the unknown smooth functions are estimated by the NN. It is proved by stability analysis that all states in active suspension system are bounded. Finally, a simulation example is given to verify the effectiveness of the proposed method in a quarter active suspension system.
Author Liu, Yan-Jun
Zhang, Xing
Liu, Lei
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Snippet This paper focuses on the adaptive neural network (NN) control problem for nonlinear quarter active suspension systems with actuator failure. By using...
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SubjectTerms adaptive control
butterworth low-pass filter
fault tolerance
nn control
vehicle suspension systems
Title Adaptive NN control based on Butterworth low-pass filter for quarter active suspension systems with actuator failure
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