Title :
An Active Suspension System using Fuzzy Logic Control
Author :
Ro, Paul L. ; Kim, Chul ; Kim, Hoyong
Author_Institution :
Assistant Professor, Mechanical and Aerospace Engineering, North Carolina State University, Box 7910, Raleigh NC 27695-7910
Abstract :
In this paper, a feasibility study is shown for controlling an active automobile suspension system using Fuzzy Logic Control. First, a fuzzy logic algorithm for an active ride comfort control for a quarter car model was formulated. Among many combinations, velocity and acceleration of the sprung mass proved to be most suitable states to formulate the fuzzy algorithm. Secondly, robustness of the algorithm is tested by examining the system performance under the mass and stiffness variations. Simulated results show that the fuzzy logic control if very robust. Lastly, the fuzzy control scheme is compared to an LQ optimal control scheme and the passive case, and the advantages and limitations of the scheme is discussed.
Keywords :
Acceleration; Automobiles; Control systems; Fuzzy control; Fuzzy logic; Optimal control; Robust control; Robustness; System performance; System testing;
Conference_Titel :
American Control Conference, 1993
Conference_Location :
San Francisco, CA, USA
Print_ISBN :
0-7803-0860-3