Inertia Compensation of EPS Based on Kalman Filtering


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The dynamic performance of an electric power steering system (EPS) is deteriorated by the inertia of assistant motor embodied in EPS. To compensate the effect of motor inertia and improve the dynamic performance of EPS, the angular acceleration of the motor rotor is needed. However, the angular acceleration cannot be derived by differentiating the rotor angle signal of the permanent magnet synchronous motor (PMSM) directly, for the noise will be amplified. This paper attempts to get motor angular acceleration signal through Kalman filtering method and the angular acceleration signal acquired by this method is calibrated with high precision encoder, furthermore, the signal is verified though simulation and experiment of inertia compensation control. All the calibration results and simulation and experiment results of inertia compensation control show that the angular acceleration acquired through Kalman filtering method is available for the realization of motor inertia compensation control and can achieve the purpose of improving the dynamic performance of the steering system.



Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim




X. W. Ji et al., "Inertia Compensation of EPS Based on Kalman Filtering", Advanced Materials Research, Vols. 588-589, pp. 509-512, 2012

Online since:

November 2012




[1] Tsung-Hsien Hu, Chih-Jung Yeh, Shih-Rung, et al. Design of Control Logic and Compensation Strategy for Electric Power Steering Systems. IEEE VPPC, 2008, 9, 1-6.


[2] Lv yingcao. Fundamental Research on PMSM EPS Control. Beijing: Department of Automotive Engineering, Tsinghua University, 2011 (in Chinese).

[3] Liu Haipeng. Control research on speed sensorless induction motor based on Kalman filtering algorithm. Shandong: Power Electronics and Electrical Transmission, Shandong University, 2007. (in Chinese).

[4] Fu Mengyin, Deng Zhihong, Zhang Jiwei. Kalman Filtering Theory and Its Application for the Navigation System. Beijing: Science Press, 2003, 20-22.

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