Fuzzy Adaptive Control for Nonlinear Suspension Systems Based on a Bioinspired Reference Model With Deliberately Designed Nonlinear Damping

This paper proposes a bioinspired reference model based fuzzy adaptive tracking control for active suspension systems. A general bioinspired nonlinear structure, which can present ideal nonlinear quasi-zero stiffness for vibration isolation, is adopted as tracking reference model. Fuzzy logic system...

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Bibliographic Details
Published inIEEE transactions on industrial electronics (1982) Vol. 66; no. 11; pp. 8713 - 8723
Main Authors Li, Jingying, Jing, Xingjian, Li, Zhengchao, Huang, Xianlin
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2019
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Active control
Active suspension control systems
Actuators
Adaptation models
Adaptive control
Automotive parts
bioinspired nonlinear dynamics
Biological system modeling
Biomimetics
Damping
Dynamical systems
Energy conservation
energy efficiency
fuzzy adaptive control
Fuzzy control
Fuzzy logic
Fuzzy systems
Mathematical model
Nonlinear control
nonlinear damping design
Nonlinear dynamics
Nonlinear systems
Passenger comfort
Stiffness
Suspension systems
Suspensions (mechanical systems)
System effectiveness
Tracking control
Vibration control
Vibrations
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Summary:This paper proposes a bioinspired reference model based fuzzy adaptive tracking control for active suspension systems. A general bioinspired nonlinear structure, which can present ideal nonlinear quasi-zero stiffness for vibration isolation, is adopted as tracking reference model. Fuzzy logic systems are used to approximate unknown nonlinear terms in nonlinear suspension systems. Particularly, a nonlinear damping is designed to improve damping characteristics of the bioinspired reference model. With beneficial nonlinear stiffness and improved nonlinear damping of the bioinspired reference model, the proposed fuzzy adaptive controller can effectively suppress vibration of suspension systems with less actuator force and much improved ride comfort, thus energy saving performance can be achieved. Finally, a quarter-vehicle active suspension system with considering payload uncertainties, general disturbance, and actuator saturation is provided for evaluating the validity and superiority of the bioinspired nonlinear dynamics based fuzzy adaptive control approach proposed in this paper.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2018.2884219