Title :
Fuzzy adaptive PID control of semi-active air suspension
Author :
Yang, Qi-Yao ; Zhang, Wen-Na ; Xu, Xing ; Zhou, Kong-Kang ; Wang, Cun-Bao
Author_Institution :
Sch. of Mech. & Electr. Eng., Anhui Univ. of Archit., Hefei, China
Abstract :
We presented the Fuzzy adaptive PID complex Strategy in this paper. The control was based on the parameters of fuzzy reasoning self-tuning PID control. People used it in the semi-active air suspension. With the traditional PID control, come under the control of the semi-active air suspension can be used to reduce the sprung mass acceleration and Suspension action itinerary with better robustness advantages. Through analyzing the test data with fuzzy adaptive PID control and PID control on the same road input, we verifies the validity and feasibility of the control algorithm.
Keywords :
adaptive control; fuzzy control; fuzzy reasoning; suspensions; three-term control; PID control; adaptive control; fuzzy control; fuzzy reasoning; self tuning; semi-active air suspension; Educational institutions; Niobium; Vehicle dynamics; Wheels; Air suspension; Fuzzy adaptive PID; PID; Self-tuning;
Conference_Titel :
Computer, Mechatronics, Control and Electronic Engineering (CMCE), 2010 International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4244-7957-3
DOI :
10.1109/CMCE.2010.5610239