Title :
Genetic-based fuzzy control for automotive active suspensions
Author :
Moon, Sang Yong ; Kwon, Wook Hyun
Author_Institution :
Control Inf. Syst. Lab., Seoul Nat. Univ., South Korea
Abstract :
In this paper a genetic-based fuzzy controller for automotive active suspensions is designed for a 1/2 car model. A genetic algorithm is used to tune the membership functions of this controller. The genetic-based fuzzy controller uses body acceleration, front suspension deflection, and rear suspension deflection as measurements. It is divided into three individual modules internally to be extended and applied to a full car model. Two realistic road disturbance models are used to evaluate the performance of the controller. It is shown that the genetic-based fuzzy controller provides good performance in reducing the magnitude of body acceleration and holding the road
Keywords :
automobiles; control system synthesis; fuzzy control; fuzzy set theory; genetic algorithms; time-domain analysis; vibration control; automotive active suspensions; body acceleration; full car model; fuzzy control; genetic algorithm; membership functions; suspension deflection; time domain analysis; Acceleration; Accelerometers; Automotive engineering; Control systems; Fuzzy control; Niobium; Optimal control; Road vehicles; Suspensions; Zirconium;
Conference_Titel :
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
0-7803-3645-3
DOI :
10.1109/FUZZY.1996.552302
