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Received: 2004-09-30

Revision Accepted: 2005-01-20

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Journal of Zhejiang University SCIENCE A 2005 Vol.6 No.4 P.251~256

http://doi.org/10.1631/jzus.2005.A0251


Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer


Author(s):  YOSHIMURA Toshio, TERAMURA Itaru

Affiliation(s):  Department of Mechanical Engineering, Faculty of Engineering, The University of Tokushima, Tokushima 770-8506, Japan

Corresponding email(s):   yosimura@me.tokushima-u.ac.jp

Key Words:  One-wheel car model, Active suspension system, Single input rule modules fuzzy reasoning, Pneumatic actuator, Disturbance observer


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YOSHIMURA Toshio, TERAMURA Itaru. Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer[J]. Journal of Zhejiang University Science A, 2005, 6(4): 251~256.

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T1 - Active suspension control of a one-wheel car model using single input rule modules fuzzy reasoning and a disturbance observer
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A1 - TERAMURA Itaru
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DOI - 10.1631/jzus.2005.A0251


Abstract: 
This paper presents the construction of an active suspension control of a one-wheel car model using fuzzy reasoning and a disturbance observer. The one-wheel car model to be treated here can be approximately described as a nonlinear two degrees of freedom system subject to excitation from a road profile. The active control is designed as the fuzzy control inferred by using single input rule modules fuzzy reasoning, and the active control force is released by actuating a pneumatic actuator. The excitation from the road profile is estimated by using a disturbance observer, and the estimate is denoted as one of the variables in the pre-condition part of the fuzzy control rules. A compensator is inserted to counter the performance degradation due to the delay of the pneumatic actuator. The experimental result indicates that the proposed active suspension system improves much the vibration suppression of the car model.

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Reference

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[3] Kurimoto, M., Yoshimura, T., 1998. Active suspension of passenger cars using sliding mode controller (Based on reduced models). International Journal of Vehicle Design, 19(4):402-414.

[4] Lin, Y.J., Lu, Y.Q., Padovan, J., 1993. Fuzzy logic control of vehicle suspension systems. International Journal of Vehicle Design, 14(5/6):457-470.

[5] Moran, A., Nagai, M., 1994. Optimal active control of nonlinear vehicle suspensions using neural networks. JSME International Journal, 37(4):707-718.

[6] Roukieh, S., Titli, A., 1993. Design of active and semi-active automotive suspension using fuzzy logic. IFAC 12th World Congress Preprints of Papers, 2:253-257.

[7] Yeh, E.C., Tsao, Y.J., 1994. A fuzzy preview control scheme of active suspension for rough road. International Journal of Vehicle Design, 15(1/2):166-180.

[8] Yoshimura, T., Sugimoto, M., 1990. Active suspension for a vehicle travelling on flexible beams with an irregular surface. Journal of Sound and Vibration, 138(3):433-445.

[9] Yoshimura, T., Takagi, A., 2004. Pneumatic active suspension system for a one-wheel car model using fuzzy reasoning and a disturbance observer. Journal of Zhejiang University SCIENCE, 5(9):1060-1068.

[10] Yoshimura, T., Kubota, H., Takei, K., Kurimoto, M., Hino, J., 2000. Construction of an active suspension system of a quarter car model using fuzzy reasoning based on single input rule modules. International Journal of Vehicle Design, 23(3/4):297-306.

[11] Yoshimura, T., Kume, A., Kurimoto, M., Hino, J., 2001. Construction of an active suspension system of a quarter car model using the concept of sliding mode control. Journal of Sound and Vibration, 239(2):187-199.

[12] Yoshimura, T., Hiwa, T., Kurimoto, M., Hino, J., 2003. Active suspension of a one-wheel car model using fuzzy reasoning and compensators. International Journal of Vehicle Autonomous Systems, 1(2):196-205.

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