In order to optimize the overall parameters of semi-active suspension, a random road surface model and a dynamic model of semi-active suspension are established based on spatial geometric relationships. The LQG control strategy based on optimal theory is adopted to suppress the pitch motion of the vehicle body and optimize the performance parameters of the suspension. The ratio of the root mean square performance parameters of semi-active suspension and passive suspension is used as the fitness function of the particle swarm optimization algorithm, and a single level of road input is discarded, Design a road excitation model with mixed road surface levels to adapt to the high-speed driving of vehicles on different road surfaces. Adjust the weight coefficients of the fitness function to a certain extent, and finally iteratively optimize the LQG controller weight coefficients corresponding to different road surfaces to further suppress the vehicle's pitch angle and improve the safety and stability of vehicle driving.
Semi-active suspension LQG control based on hybrid road level
International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024) ; 2024 ; Yinchuan, China
Proc. SPIE ; 13259
04.09.2024
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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