TY - GEN
T1 - EP-based fuzzy control design for an active suspension system with full-car model
AU - Cheng, Chia Ping
AU - Li, Tzuu Hseng S.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
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U2 - 10.1109/ICSMC.2007.4413659
DO - 10.1109/ICSMC.2007.4413659
M3 - Conference contribution
AN - SCOPUS:40949136052
SN - 1424409918
SN - 9781424409914
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 3288
EP - 3293
BT - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
T2 - 2007 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2007
Y2 - 7 October 2007 through 10 October 2007
ER -