Study on electronic stability program control strategy based on the fuzzy logical and genetic optimization method. (May 2017)

• Record Type: Journal Article
• Authors: Jin, Lisheng; Xie, Xianyi; Shen, Chuanliang; Wang, Fangrong; Wang, Faji; Ji, Shengyuan; Guan, Xin; Xu, Jun
• Is Part Of: Advances in mechanical engineering. Volume 9:Number 5(2017:May)
• Publication Date: 2017-05
• Subjects: Sideslip angle -- yaw rate -- β phase plane method -- fuzzy -- electronic stability program -- genetic algorithm; Mechanical engineering -- Periodicals; 621.05
• DOI: 10.1177/1687814017699351
• Languages: English
• ISSNs: 1687-8132

Abstract

This article introduces the β phase plane method to determine the stability state of the vehicle and then proposes the electronic stability program fuzzy controller to improve the stability of vehicle driving on a low adhesion surface at high speed. According to fuzzy logic rules, errors between the actual and ideal values of the yaw rate and sideslip angle can help one achieve a desired yaw moment and rear wheel steer angle. Using genetic algorithm, optimize the fuzzy controller parameters of the membership function, scale factor, and quantization factor. The simulation results demonstrate that not only the response fluctuation range of the yaw rate and sideslip angle, but also the time taken to reach steady state are smaller than before, while reducing the vehicle oversteer trend and more closer to neutral steering. The optimized fuzzy controller performance has been improved.