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This chapter addresses the fuzzy adaptive tracking control problem for active suspension systems using a bio‑inspired reference model. Fuzzy logic systems are employed to approximate unknown nonlinear terms present in the suspension dynamics. In particular, a nonlinear damping mechanism is introduced to enhance the damping properties of the bio‑inspired reference model. By exploiting the favorable nonlinear stiffness characteristics and enhanced nonlinear damping of the reference model, the proposed fuzzy adaptive controller effectively suppresses suspension vibrations while requiring reduced actuator force. As a result, both ride comfort and energy efficiency are significantly improved.

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Fuzzy Adaptive Control of Suspension Systems with a Specially Designed Nonlinear Damping in the X-Reference Model

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  • 发表日期：

    2026年

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  • Xingjian Jing

摘要

This chapter addresses the fuzzy adaptive tracking control problem for active suspension systems using a bio‑inspired reference model. Fuzzy logic systems are employed to approximate unknown nonlinear terms present in the suspension dynamics. In particular, a nonlinear damping mechanism is introduced to enhance the damping properties of the bio‑inspired reference model. By exploiting the favorable nonlinear stiffness characteristics and enhanced nonlinear damping of the reference model, the proposed fuzzy adaptive controller effectively suppresses suspension vibrations while requiring reduced actuator force. As a result, both ride comfort and energy efficiency are significantly improved.