2010•Unpublished venueRequires access

Vehicle Stability Sliding Mode Control Based on Fuzzy Switching Gain Scheduling

Jinzhu Zhang, Hongtian Zhang

Open publisher page 4 citations

Abstract

According to the nonlinear and parameter time-varying characteristics of vehicle stability control, an adaptive fuzzy sliding control algorithm is proposed in terms of fuzzy control principle and the approximation capability of fuzzy systems. The fuzzy sliding controller is designed based on fuzzy logic and sliding control. The switching function of sliding surface is fuzzied by the Membership function. The switching gain is estimated and scheduled effectively according to the sliding mode reaching condition. The output of fuzzy controller is solved by integration method. The simulation results show the fuzzy sliding controller could shorten responding time and prohibit the chattering of the controller.

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What this paper is about

According to the nonlinear and parameter time-varying characteristics of vehicle stability control, an adaptive fuzzy sliding control algorithm is proposed in terms of fuzzy control principle and the approximation capability of fuzzy systems. The fuzzy sliding controller is designed based on fuzzy logic and sliding control. The switching function of sliding surface is fuzzied by the Membership function. The switching gain is estimated and scheduled effectively according to the sliding mode reaching condition. The output of fuzzy controller is solved by integration method. The simulation results show the fuzzy sliding controller could shorten responding time and prohibit the chattering of the controller.

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Available abstract

According to the nonlinear and parameter time-varying characteristics of vehicle stability control, an adaptive fuzzy sliding control algorithm is proposed in terms of fuzzy control principle and the approximation capability of fuzzy systems. The fuzzy sliding controller is designed based on fuzzy logic and sliding control. The switching function of sliding surface is fuzzied by the Membership function. The switching gain is estimated and scheduled effectively according to the sliding mode reaching condition. The output of fuzzy controller is solved by integration method. The simulation results show the fuzzy sliding controller could shorten responding time and prohibit the chattering of the controller.

Key concepts: Control theory (sociology), Fuzzy logic, Sliding mode control, Fuzzy control system, Controller (irrigation), Computer science, Variable structure control, Nonlinear system

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