Title :
GA-based fuzzy PI/PD controller for automotive active suspension system
Author :
Kuo, Yi-Pin ; Li, Tzuu-Hseng S.
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
12/1/1999 12:00:00 AM
Abstract :
A genetic-algorithm (GA)-based fuzzy proportional-plus-integral-proportional-plus-derivative (PI/PD) controller is proposed for an automotive active suspension system (AASS). The fuzzy PI- and PD-type controllers are combined to cope with the different road conditions. By using the merit of GAs, the optimal decision-making rules for both types of controllers are constructed. The real-time simulation results demonstrate that the fusion of GAs and fuzzy controller for an AASS can provide passengers much more ride comfort
Keywords :
automobiles; fuzzy control; genetic algorithms; mechanical variables control; two-term control; GA-based fuzzy PI/PD controller; PI/PD controller; automotive active suspension system; controllers; fuzzy controller; optimal decision-making rules; real-time simulation; ride comfort; road conditions; Automotive engineering; Control systems; Decision making; Fuzzy control; Fuzzy systems; Optimal control; PD control; Proportional control; Roads; Two-term control;
Journal_Title :
Industrial Electronics, IEEE Transactions on
