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<p>This paper proposes an optimized control strategy for fuzzy PID control based on an improved particle swarm optimization (IPSO) algorithm, targeting electro-hydraulic servo active suspension systems with internal leakage faults. Using AMEsim and Simulink software, a 1/4 vehicle electro-hydraulic servo active suspension internal leakage model is established. To verify the effectiveness of the proposed control strategy, the paper uses semi-sinusoidal bump road and class C road as model inputs, calculating and comparing the sprung mass acceleration (SMA), dynamic tire load (DTL), and suspension working space (SWS) for both the active suspension system under different internal leakage clearances and the passive suspension system. The results show that the proposed control strategy effectively optimizes the performance indicators of the active suspension system under different internal leakage clearances, thereby enhancing the vehicle’s riding smoothness, road adhesion, and operational safety. In contrast to the conventional particle swarm optimization PID control (PSO-PID), the IPSO-fuzzy PID controller demonstrates superior performance even in the presence of larger annular clearances, ensuring the robustness and dependability of the active suspension system. This research provides important theoretical support for the optimized control and hydraulic actuators structural design of electro-hydraulic servo active suspension systems.</p>

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Optimized Control Strategy for Electro-hydraulic Servo Active Suspension System With Internal Leakage Faults

  • 期刊论文

  • 发表日期：

    2025年6月11日

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  • Hao Xiong,
  • Haiwu Zheng,
  • Dingxuan Zhao,
  • Yan Feng

摘要

This paper proposes an optimized control strategy for fuzzy PID control based on an improved particle swarm optimization (IPSO) algorithm, targeting electro-hydraulic servo active suspension systems with internal leakage faults. Using AMEsim and Simulink software, a 1/4 vehicle electro-hydraulic servo active suspension internal leakage model is established. To verify the effectiveness of the proposed control strategy, the paper uses semi-sinusoidal bump road and class C road as model inputs, calculating and comparing the sprung mass acceleration (SMA), dynamic tire load (DTL), and suspension working space (SWS) for both the active suspension system under different internal leakage clearances and the passive suspension system. The results show that the proposed control strategy effectively optimizes the performance indicators of the active suspension system under different internal leakage clearances, thereby enhancing the vehicle’s riding smoothness, road adhesion, and operational safety. In contrast to the conventional particle swarm optimization PID control (PSO-PID), the IPSO-fuzzy PID controller demonstrates superior performance even in the presence of larger annular clearances, ensuring the robustness and dependability of the active suspension system. This research provides important theoretical support for the optimized control and hydraulic actuators structural design of electro-hydraulic servo active suspension systems.