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Robust Controller Considering Road Disturbances for a Vehicular Flywheel Battery System

Author

Listed:
  • Weiyu Zhang

    (School of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, China)

  • Xiaowei Gu

    (School of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, China)

  • Lindong Zhang

    (School of Electrical and Information Engineering, Jiangsu University, Xuefu Road 301, Zhenjiang 212013, China)

Abstract

At present, the stability study of the flywheel battery system under the influence of road conditions is only limited to the analysis of dynamic characteristics but also lacks effective controller considering road disturbances. In order to solve this defect and further improve the robust performance of vehicular flywheel battery systems under road disturbances, a robust controller considering interference of road surface roughness is proposed. Firstly, on the basis of a brief introduction to flywheel battery system structure, the influence degree of the flywheel by road condition is compared to find the key areas most affected by road disturbance factors. Then the nonlinear dynamic model of the axial suspension system is constructed, and the actual road surface roughness is regarded as the unmodeled dynamics of the external disturbance emphatically. Following, the established unknown system dynamics is approximated by radial basis function (RBF) neural network based on the minimum parameter learning method, the control input is generated by sliding-mode control law, and the weight adjustment of neural network is replaced by the designed adaptive law of parameter estimation. The effects of different levels of road surface roughness on the system are simulated, and the robustness of the proposed controller is verified based on the Lyapunov method. Finally, the experimental platform to simulate road disturbances is designed ingeniously. Experimental results show that the proposed controller can make the flywheel battery system have good robustness under different road conditions.

Suggested Citation

  • Weiyu Zhang & Xiaowei Gu & Lindong Zhang, 2022. "Robust Controller Considering Road Disturbances for a Vehicular Flywheel Battery System," Energies, MDPI, vol. 15(15), pages 1-17, July.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:15:p:5432-:d:873038
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    Citations

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    Cited by:

    1. Dixi Xin & Jianlin Li & Suliang Ma & Chang’an Liu, 2022. "Research on Demand Analysis and Optimal Allocation of Rail Transit Hybrid Energy Storage Based on the Electric Traction Model," Energies, MDPI, vol. 15(19), pages 1-20, September.
    2. Weiyu Zhang & Juexin Yu, 2023. "Modeling of Vehicle-Mounted Flywheel Battery Considering Automobile Suspension and Pulse Road Excitation," Energies, MDPI, vol. 16(11), pages 1-20, May.
    3. Weiyu Zhang & Zhen Wang, 2023. "Accurate Modeling and Control System Design for a Spherical Radial AC HMB for a Flywheel Battery System," Energies, MDPI, vol. 16(4), pages 1-20, February.
    4. Enas Taha Sayed & Abdul Ghani Olabi & Abdul Hai Alami & Ali Radwan & Ayman Mdallal & Ahmed Rezk & Mohammad Ali Abdelkareem, 2023. "Renewable Energy and Energy Storage Systems," Energies, MDPI, vol. 16(3), pages 1-26, February.

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