<p>This paper proposes a hierarchical dual-horizon preview control strategy for semi-active suspensions with CDC dampers and dual-chamber air springs. To address the preview information uncertainties and actuator delay, the upper layer employs a tube-based model predictive controller using long-horizon preview information, while the lower layer uses short-horizon preview with a GRNN-based delay model to adjust the preview window in real time. A frequency-domain force separation approach is introduced to synchronize the actuator response. Experimental results show up to 50.49% improvement in suspension force tracking under Class-C road conditions, validating the effectiveness of the proposed method in enhancing ride comfort and actuator coordination under uncertainty.</p>

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Hierarchical dual-horizon preview control for CDC dampers and air springs in vehicle semi-active suspensions

  • Zhongkai Luan,
  • Xinyan Cao,
  • Wanzhong Zhao,
  • Chunyan Wang

摘要

This paper proposes a hierarchical dual-horizon preview control strategy for semi-active suspensions with CDC dampers and dual-chamber air springs. To address the preview information uncertainties and actuator delay, the upper layer employs a tube-based model predictive controller using long-horizon preview information, while the lower layer uses short-horizon preview with a GRNN-based delay model to adjust the preview window in real time. A frequency-domain force separation approach is introduced to synchronize the actuator response. Experimental results show up to 50.49% improvement in suspension force tracking under Class-C road conditions, validating the effectiveness of the proposed method in enhancing ride comfort and actuator coordination under uncertainty.