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An Adaptive Controller Design for Nonlinear Active Air Suspension Systems with Uncertainties

Author

Listed:
  • Jinhua Zhang

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Yi Yang

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

  • Cheng Hu

    (School of Mechanical and Electrical Engineering, Guangzhou University, Guangzhou 510006, China)

Abstract

Active air spring suspensions can improve the vehicle ride comfort and meanwhile realize the vehicle height regulation, and therefore, they have been widely used and studied. However, to achieve better ride comfort and a satisfactory vehicle body height adjustment, the active air suspension controller becomes an indispensable and significant part of the system. Since the nonlinear suspension system possesses uncertainties, it is difficult to take into account both ride comfort and height regulation. This study innovatively proposes an adaptive control algorithm to specifically address the problem of vehicle height regulation and ride comfort for nonlinear active air suspension systems with uncertainties. The accurate tracking to reference vehicle body height curves is realized, and the ride comfort is also improved. Through simulations with two scenarios, it is illustrated that the active air suspension controller owns better control effectiveness than the PID controller. Compared with the PID controller, the designed controller can track the reference vehicle body height curves faster and more accurately. The result also verifies the priority of the designed controller.

Suggested Citation

  • Jinhua Zhang & Yi Yang & Cheng Hu, 2023. "An Adaptive Controller Design for Nonlinear Active Air Suspension Systems with Uncertainties," Mathematics, MDPI, vol. 11(12), pages 1-12, June.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:12:p:2626-:d:1166976
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    References listed on IDEAS

    as
    1. Xianjian Jin & Jiadong Wang & Junpeng Yang & Jean Jacques Loiseau, 2022. "Development of Robust Guaranteed Cost Mixed Control System for Active Suspension of In-Wheel-Drive Electric Vehicles," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-16, February.
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    Cited by:

    1. Gang Wang & Jiafan Deng & Tingting Zhou & Suqi Liu, 2024. "H ∞ Differential Game of Nonlinear Half-Car Active Suspension via Off-Policy Reinforcement Learning," Mathematics, MDPI, vol. 12(17), pages 1-18, August.

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