EP-based fuzzy control design for an active suspension system with full-car model
Chia Ping Cheng, Tzuu‐Hseng S. Li · 2007
This paper describes a methodology to determine optimum design parameters of the fuzzy logic control (FLC) for active suspension system (ASS) with full-car model using the evolutionary programming (EP) method. The ASS for full-car model design is a difficult problem especially when the system’s multi-objectives are simultaneously considered. In the conventional FLC, parameters adjustment is done by the system response, expert knowledge or trial-and-error scheme. In this paper, EP algorithm is adopted to search the optimum parameters of the FLC for ASS by minimizing a fitness function that composed of all the desired performance of a full-car model. In order to make comparison, we also introduce the optimal active suspension control (OASC) scheme. Two kinds of road profiles, a bumped road and a white noise random road, are exploited to test the performance. All the computer simulations demonstrate that the proposed EP-based FLC can provide the best ride comfort and the least suspension deflection among all the examined controllers under all these road profiles.