Design of LQG controller for vehicle active suspension system based on alternate iteration
- YU Yuewei, ZHOU Changcheng, ZHAO Leilei, XING Yuqing, SHI Peilin
JOURNAL OF SHANDONG UNIVERSITY (ENGINEERING SCIENCE). 2017, 47(4):
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For the active suspension LQG(linear-quadratic-Gaussian control)controller, an objective and fast method to determine the optimal control weighting coefficient and control force was established. Through analysis of riding comfort evaluation index of vehicle, using dimensionless normalized thoughts, the optimal control objective function of active suspension was established, and the relationship between ride comfort weighted coefficient and control weight coefficient was obtained. According to 1/4 vehicle active suspension mechanical model, using Newmark-β integration method, a simulation analysis model for the weighted coefficient of ride comfort was established. Using the road roughness as input, the tire dynamic displacement and suspension dynamic deflection as constraint conditions, by referring to alternative iterative thoughts, the alternating iterative optimization algorithm was established, an optimization design method of LQG control weighted coefficient and control force was presented. By comparing with the existing LQG controller design method, the optimal control weighting coefficient and control force design method were verified. The results showed that the LQG controller could significantly improve the ride comfort of vehicle.