Title :
Self-tuning fuzzy PID applied to direct yaw moment control for vehicle stability
Author :
Wei, Zhang ; Guizhen, Yu ; Jian, Wang ; Tianshu, Su ; Xiangyang, Xu
Author_Institution :
Sch. of Transp. Sci. & Eng., Beihang Univ., Beijing, China
Abstract :
Although the conventional PID controller is widely used, there has been limited success in the yaw moment control of the vehicle with obvious nonlinearities. This paper presents a controller based on self-tuning fuzzy PID to improve vehicle handling and stability simultaneously. The controller contains a conventional PID controller and fuzzy controller which could tune the parameters of PID controller on-line. Results of both the off-line simulation and the HIL (hardware-in-the-loop) simulation have shown the effectiveness of the fuzzy PID method when the vehicle is in lane change maneuver.
Keywords :
adaptive control; control nonlinearities; electric vehicles; fuzzy control; road safety; road vehicles; self-adjusting systems; stability; three-term control; vehicle dynamics; DYC; HIL simulation; control nonlinearity; direct yaw moment control; hardware-in-the-loop simulation; lane change maneuver; off-line simulation; self-tuning fuzzy PID control; vehicle active safety; vehicle handling; vehicle stability; Control nonlinearities; Control systems; Fuzzy control; Mathematical model; Optimal control; Road vehicles; Stability; Three-term control; Vehicle safety; Wheels; Direct Yaw Moment Control; HIL (hardware-in-the-loop); Self-Tuning Fuzzy PID;
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
DOI :
10.1109/ICEMI.2009.5274580