Semi-Active Suspension Control Strategy Based on Negative Stiffness Characteristics

Yanlin Chen, Shaoping Shen (), Zhijie Li, Zikun Hu and Zhibin Li
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Yanlin Chen: Department of Automation, Xiamen University, Xiamen 361005, China
Shaoping Shen: Department of Automation, Xiamen University, Xiamen 361005, China
Zhijie Li: Department of Automation, Xiamen University, Xiamen 361005, China
Zikun Hu: Department of Automation, Xiamen University, Xiamen 361005, China
Zhibin Li: College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao 266590, China

Mathematics, 2024, vol. 12, issue 21, 1-28

Abstract: This paper investigates the potential of negative stiffness suspensions for enhanced vehicle vibration isolation. By analyzing and improving traditional control algorithms, we propose and experimentally validate novel skyhook, groundhook, and hybrid control strategies for suspensions with negative stiffness characteristics. We establish pavement models, incorporate negative stiffness into suspension modeling, and develop a performance evaluation index. Our research identifies shortcomings of classical semi-active control algorithms and introduces a new band selector to combine improved control methods. Simulation results demonstrate that the proposed semi-active suspension control strategy based on negative stiffness effectively reduces body vibration and enhances vehicle ride performance.

Keywords: negative stiffness; semi-active suspension; damping control; hybrid control (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2024
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