Optimal Fuzzy Supervisor Controller for an Active Suspension System
N. Ebrahimi1, A.Gharaveisi2
1N.ebrahimi, Department of Electrical Engineering, Shahid Bahonar University of kerman, Kerman, Iran.
2A.gharaveisi, Department of Electrical Engineering, Shahid Bahonar University of kerman , Kerman, Iran.
Manuscript received on September 01, 2012. | Revised Manuscript received on September 02, 2012. | Manuscript published on September 05, 2012. | PP: 36-39 | Volume-2 Issue-4, September 2012. | Retrieval Number: D0862072412/2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper, an optimal fuzzy supervisor controller is developed to improve the performance of active suspension system. Fuzzy logic is used to tune each parameter of PID Controller and input membership function of fuzzy controller optimized by Discrete Action Reinforcement Learning Automata (DARLA) technique. Through simulation in MATLAB, it is shown that the performance of active suspension system has improved significantly compare to conventional PID controller which is tuned by Zigler- Nichols method.
Keywords: Active suspension system, Discrete Action Reinforcement Learning Automata (DARLA), Fuzzy supervisor, PID controller