Study on Uninterrupted Shift Transmission Shift Strategy Based on Fuzzy Control

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Abstract:

Uninterrupted Shift Transmission (UST) is a novel vehicle transmission and which is introduced as the research object in this paper. It realizes torque uninterrupted shift by controlling dual multimode controlled shifter (MCS) modes and synchronizers. Fuzzy control technology is adopted in shift control strategy in order to improve its shift quality. Experimental results show that the fuzzy control strategy can improve the shift quality of UST effectively.

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Periodical:

Advanced Materials Research (Volumes 791-793)

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668-671

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Online since:

September 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] Huang Xiangdong, Zhao Kegang and Liu Yanwei, et al. A mechanical transmitssion shift without power transmission interruption[P]. China:201010158023. 7, (2010).

Google Scholar

[2] Zhao Kegang, Liu Yanwei and Huang Xiangdong, et al. Uninterrupted Shift Transmission and Its Shift Characteristics[J]. IEEE/ASME TRANSACTIONS ON MECHATRONICS, (2012).

DOI: 10.1109/tmech.2012.2235183

Google Scholar

[3] Andrew szadkowski. shiftability and shift Quality issues in Clutch Transmission Systems[J]. SAE. 912697, (1991).

DOI: 10.4271/912697

Google Scholar

[4] Ge Anlin, Shen Bo. Study on AMT Gear shifting Behavior[J]. Automobile Technology, (2003).

Google Scholar

[5] Hiroshi Yamaguchiete, Automatic Transmission Shift Schedule Control Using fuzzy logic[J]. SAE TRANSACTION, (1993).

Google Scholar

[6] Jang, J. -S. R. and C. -T. Sun. Neuro-fuzzy modeling and Control[J]. Proceedings of the IEEE, (1995).

Google Scholar

[7] Lee, C. -C. Fuzzy logic in control systems: fuzzy logic controller-parts 1and 2[J]. IEEE Transactions on Systems, (1990).

Google Scholar

[8] Zadeh, L.A. Knowledge representation in fuzzy logic[J]. IEEE Transactions on Knowledge and Data Engineering, (1989).

Google Scholar