Vehicle Stability Sliding Mode Control Based on Fuzzy Switching Gain Scheduling

Author

Zhang Jin-zhu ; Zhang Hong-tian

Author_Institution

Coll. of Power & Energy Eng., Harbin Univ. of Eng., Harbin, China

Volume

3

fYear

2010

fDate

13-14 March 2010

Firstpage

1067

Lastpage

1070

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.

Keywords

approximation theory; fuzzy control; fuzzy systems; road vehicles; stability; time-varying systems; variable structure systems; adaptive fuzzy sliding control algorithm; approximation capability; fuzzy control principle; fuzzy logic; fuzzy switching gain scheduling; fuzzy systems; membership function; nonlinear characteristics; parameter time-varying characteristics; road vehicles; vehicle stability sliding mode control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear control systems; Programmable control; Sliding mode control; Stability; Time varying systems; Vehicles; fuzzy sliding mode control; gain scheduling; sideslip angle; vehicle stability; yaw rate;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on

Conference_Location

Changsha City

Print_ISBN

978-1-4244-5001-5

Electronic_ISBN

978-1-4244-5739-7

Type

conf

DOI

10.1109/ICMTMA.2010.646

Filename

5460291