Vibration state estimation of nonlinear suspension system based on feedback linearization

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (20) : 10-15.

CHEN Si-zhong，LU Fan，WU Zhi-cheng，YANG Lin，ZHAO Yu-zhuang

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Abstract

Aiming at the nonlinearity of suspension system, a feedback linearization Kalman filter algorithm was proposed. Based on differential geometry theory, the nonlinear vehicle vibration model was transformed into a certain observable normal form via change of state coordinates. Based on the obtained linear system, the observer was designed by using Kalman filter algorithm. Finally the estimated states of nonlinear system were obtained through inverse transformation. Simulation results show that compared with extended Kalman observer, the proposed algorithm can improve the observation accuracy of vehicle vibration states and reduce computational complexity.

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state estimation / feedback linearization / nonlinear suspension / vibration

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CHEN Si-zhong，LU Fan，WU Zhi-cheng，YANG Lin，ZHAO Yu-zhuang. Vibration state estimation of nonlinear suspension system based on feedback linearization[J]. Journal of Vibration and Shock, 2015, 34(20): 10-15

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