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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Duo Zhang & Guohai Liu & Wenxiang Zhao & Penghu Miao & Yan Jiang & Huawei Zhou, 2014. "A Neural Network Combined Inverse Controller for a Two-Rear-Wheel Independently Driven Electric Vehicle," Energies, MDPI, vol. 7(7), pages 1-15, July.
    • Handle: RePEc:gam:jeners:v:7:y:2014:i:7:p:4614-4628:d:38415
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    References listed on IDEAS

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    1. Guoqing Xu & Weimin Li & Kun Xu & Zhibin Song, 2011. "An Intelligent Regenerative Braking Strategy for Electric Vehicles," Energies, MDPI, vol. 4(9), pages 1-17, September.
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    Cited by:

    1. Xiang Liu & Min Xu & Mian Li, 2015. "New TA Index-Based Rollover Prevention System for Electric Vehicles," Energies, MDPI, vol. 8(3), pages 1-24, March.
    2. Xiufan Liang & Yiguo Li & Xiao Wu & Jiong Shen, 2018. "Nonlinear Modeling and Inferential Multi-Model Predictive Control of a Pulverizing System in a Coal-Fired Power Plant Based on Moving Horizon Estimation," Energies, MDPI, vol. 11(3), pages 1-27, March.

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