Adaptive Energy-Saving Control for Vehicle Suspensions via Coupling and Disturbance Effects Utilization

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Abstract
This paper proposes a novel energy-efficient control method for vehicle suspensions that addresses key application-oriented issues, including inevitable disturbance, inherent nonlinearity, state-coupling effects, and energy consumption. Unlike conventional schemes, the proposed method explicitly quantifies the influence of disturbance and state-coupling by designing dedicated effect indicators and exploiting the beneficial aspects of nonlinear dynamics. Positive effects are harnessed, while negative effects are transformed into advantageous contributions, thereby delivering superior robustness, lower energy consumption, and improved response rapidity. Specifically, a fuzzy disturbance observer is developed to accurately estimate the disturbance factors, including both parametric/unmolded uncertainty and external disturbance. Effect indicators are introduced to characterize the positive and negative impacts of disturbance and coupling on the active suspension system, and these insights are incorporated into the design of a novel adaptive controller. In addition, biologically inspired nonlinear reference model is deliberately introduced to make use of favorable nonlinear stiffness and damping effects. Furthermore, Lyapunov’s theory is employed to ensure the asymptotic stability of the overall suspension system. Experimental validation demonstrated that the proposed approach achieves excellent transient performance and significant energy savings, with reductions of up to 80% or more.
Funding Information
  • National Natural Science Foundation of China (62273163)
  • National Natural Science Foundation of China (62461160260)
  • Taishan Scholar Foundation of Shandong Province (tsqn202312212)
  • Outstanding Youth Foundation of Shandong Province (ZR2023YQ056)
  • National Key Research and Development Program of China (2023YFE0205800)
  • Science and Technology Development Fund (ZR2023YQ056)
  • Science and Technology Development Fund (2023YFE0205800)

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