Application of ACO-BP Algorithm in Automobile Automatic Transmission Shift Control

Abstract:

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Combining ant colony optimization (ACO) algorithm with back-propagation (BP) algorithm, the ACO-BP algorithm is proposed to optimize shift decision based on the vehicle velocity, the vehicle acceleration and the throttle opening. Both BP local search capability and global search ability of ACO are utilized, where ACO is used to train the BP network weights and thresholds. Experimental results show that the proposed automatic transmission shift control system has good capability of gear recognition, and can make shift decision promptly and effectively.

Info:

Periodical:

Edited by:

Jun Zhang, Zhijian Wang, Shuren Zhu and Xiaoming Meng

Pages:

553-556

DOI:

10.4028/www.scientific.net/AMM.263-266.553

Citation:

J. X. Chen and S. Yu, "Application of ACO-BP Algorithm in Automobile Automatic Transmission Shift Control", Applied Mechanics and Materials, Vols. 263-266, pp. 553-556, 2013

Online since:

December 2012

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Price:

$35.00

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