A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle

Duo Zhang, Guohai Liu, Wenxiang Zhao, Penghu Miao, Yan Jiang and Huawei Zhou
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Duo Zhang: School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, China
Guohai Liu: School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, China
Wenxiang Zhao: School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, China
Penghu Miao: School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, China
Yan Jiang: School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, China
Huawei Zhou: School of Electrical and Information Engineering, University of Jiangsu, Zhenjiang 212013, China

Energies, 2014, vol. 7, issue 7, 1-15

Abstract: Vehicle active safety control is attracting ever increasing attention in the attempt to improve the stability and the maneuverability of electric vehicles. In this paper, a neural network combined inverse (NNCI) controller is proposed, incorporating the merits of left-inversion and right-inversion. As the left-inversion soft-sensor can estimate the sideslip angle, while the right-inversion is utilized to decouple control. Then, the proposed NNCI controller not only linearizes and decouples the original nonlinear system, but also directly obtains immeasurable state feedback in constructing the right-inversion. Hence, the proposed controller is very practical in engineering applications. The proposed system is co-simulated based on the vehicle simulation package CarSim in connection with Matlab/Simulink. The results verify the effectiveness of the proposed control strategy.

Keywords: neural network combined inverse; soft-sensor; decoupling control; electric vehicles; two-rear-wheel independently driven (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2014
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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