Title: Smooth shift control of automatic transmissions using a robust adaptive scheme with intelligent supervision

Authors: Deok-Ho Kim, Kyung-Jinn Yang, Keum-Shik Hong, Jin-Oh Hahn, Kyo-Il Lee

Addresses: Microsystem Research Center, Korea Institute of Science and Technology, P.O. Box 131, Cheongryang, Seoul, 130-650, Korea. School of Mechanical Engineering, Pusan National University, 30 Changjeon-dong, Kumjeong-ku, Busan, 609-735, Korea. School of Mechanical Engineering, Pusan National University, 30 Changjeon-dong, Kumjeong-ku, Busan, 609-735, Korea. Department of Mechanical Engineering, Faculty Board, Korea Air Force Academy, P.O. Box 335-2, Ssangsu, Namil-Myeon, Cheongwon-Gun, Choongbook, Korea. School of Mechanical and Aerospace Engineering, Seoul National University, Shillim-dong, Kwanak-gu, Seoul, 151-742, Korea

Abstract: In this paper, a robust adaptive control scheme with an intelligent supervisor for vehicle powertrain systems is investigated. The control objectives are to provide smooth shift transients for passenger comfort and to improve component durability. The reaction carrier speed and the turbine speed during the inertia phase are controlled to track their desired speeds, respectively. The boundedness of all signals in the closed loop system and the convergence of the reaction carrier speed error near to zero are guaranteed by applying the Lyapunov stability analysis. The adaptive compensation controller with an intelligent supervisor is implemented to keep the turbine speed error near to zero and the deviation of the shift duration within an allowable range. The proposed control algorithm is implemented and evaluated on an experimental test setup.

Keywords: Vehicle powertrain system; shift quality; robust adaptive control; intelligent supervisor; adaptive neuro-fuzzy inference system.

DOI: 10.1504/IJVD.2003.003645

International Journal of Vehicle Design, 2003 Vol.32 No.3/4, pp.250 - 272

Published online: 28 Sep 2003 *

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