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A Fuzzy Synthesis Control Scheme and Optimization for Vehicle Dynamic Stability System
Conference proceeding

A Fuzzy Synthesis Control Scheme and Optimization for Vehicle Dynamic Stability System

Yunqing Zhang, Si Gao, Lingyang Li, Liping Chen, Jingzhou Yang and Karim Abdel-Malek
Volume 5: 6th International Conference on Multibody Systems, Nonlinear Dynamics, and Control, Parts A, B, and C, Vol.5, pp.1959-1965
ASME 2007 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, Las Vegas, Nevada, USA, Sept. 04 - 07, 2007
01/01/2007
DOI: 10.1115/DETC2007-34518

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Abstract

Vehicle stability control system can enhance the vehicle stability and handling in the emergency situations through the control of traction and braking forces at the individual wheels. This paper presents a Fuzzy synthesis control strategy with an ideal 2-DOF linear model and optimization of the control parameters. The control strategy consists of Fuzzy control of two control objectives (yaw velocity ω and sideslip angle β). Fuzzy functions can adjust and control these two objectives and through Matlab Fuzzy control unit & ADAMS multi-body vehicle dynamic model we obtain optimized simulation. The co-simulation scenario is on iced road with a single sine steering angle input and in a high speed. The control parameters are optimized and analyzed by a combined optimization algorithm (Genetic Algorithm (GA) and Nonlinear Programming Quadratic Line search (NLPQL) method) combined with response surface model (RSM). The simulation results show that the handling stability and safety of the vehicle can be enhanced by the Fuzzy control method that can adapt complex road and driving conditions.

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