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Research on Refined Modeling and Fuzzy Control of Electro-Hydrostatic Actuator with Co-Simulation Method

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  • Ruizhe Li

    (School of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China
    School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China)

  • Yuhuan Du

    (School of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China
    Chongqing Key Laboratory of Green Aviation Energy and Power, The Green Aerotechnics Research Institute of Chongqing Jiaotong University, Chongqing 401120, China)

  • Yang Yu

    (School of Aeronautics, Chongqing Jiaotong University, Chongqing 400074, China
    School of Mechatronics and Vehicle Engineering, Chongqing Jiaotong University, Chongqing 400074, China
    Chongqing Key Laboratory of Green Aviation Energy and Power, The Green Aerotechnics Research Institute of Chongqing Jiaotong University, Chongqing 401120, China)

Abstract

The EHA is a highly integrated closed hydraulic system which is widely used in aerospace, vehicles, and robotics because of its high power and lightweight size. Due to the high non-linearity of the control system, it is difficult to reach a high robustness, leading to instability of the EHA system. In this paper, the fuzzy PID control strategy is proposed for overall control of the whole EHA system. Firstly, the structure and operating principle of EHA are analyzed. Secondly, the mathematical model and simulation model of the EHA-FPVM were established. Specially, to solve the problem of difficult calculation of non-linear factors such as friction and external forces, a co-simulation model was built in Matlab/Simulink AMESim, and a fuzzy PID controller was designed to control the EHA-FPVM. Finally, the PID and fuzzy PID controller were used to conduct simulation experiments, the simulation results are compared, and a servo-hydraulic system evaluation method is introduced to assess the simulation results. The results show that the EHA fuzzy PID control system has better output performance, lower overshoot percentages and steady-state errors, and the obtained evaluation scores are higher and more suitable for controlling EHA.

Suggested Citation

  • Ruizhe Li & Yuhuan Du & Yang Yu, 2022. "Research on Refined Modeling and Fuzzy Control of Electro-Hydrostatic Actuator with Co-Simulation Method," Energies, MDPI, vol. 15(23), pages 1-25, December.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:23:p:9129-:d:991105
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    References listed on IDEAS

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    1. Wei Shen & Jihai Jiang & Hamid Reza Karimi & Xiaoyu Su, 2013. "Observer-Based Robust Control for Hydraulic Velocity Control System," Mathematical Problems in Engineering, Hindawi, vol. 2013, pages 1-9, March.
    2. Rongrong Yang & Yongling Fu & Ling Zhang & Haitao Qi & Xu Han & Jian Fu, 2018. "A Novel Sliding Mode Control Framework for Electrohydrostatic Position Actuation System," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-22, January.
    3. Junhui Zhang & Ying Li & Bing Xu & Min Pan & Fei Lv, 2017. "Experimental Study on the Influence of the Rotating Cylinder Block and Pistons on Churning Losses in Axial Piston Pumps," Energies, MDPI, vol. 10(5), pages 1-15, May.
    4. Minh Tri Nguyen & Tri Dung Dang & Kyoung Kwan Ahn, 2019. "Application of Electro-Hydraulic Actuator System to Control Continuously Variable Transmission in Wind Energy Converter," Energies, MDPI, vol. 12(13), pages 1-19, June.
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