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基于遗传算法的主动悬架LQG控制器设计
The Design of LQG Controller for Active Suspension Based on Genetic Algorithm
【Author】 Chen Ying;Pang Hui;Chen Jianan;Liu Kai;School of Mechanical and Precision Instrument Engineering,XI’AN University of Technology;
【机构】 西安理工大学机械与精密仪器工程学院机械设计系;
【摘要】 为研究车辆主动悬架系统的车身垂向加速度、俯仰角加速度、悬架动行程和轮胎动位移各性能评价指标的综合优化问题,提出了一种主动悬架系统线性二次最优(LQG)控制器。首先,建立4自由度1/2车辆主动悬架系统力学模型,接着以均衡车辆行驶平顺性和操纵稳定性为原则设计了车辆主动悬架系统的LQG控制器,重点研究了基于遗传算法对车辆控制器中各性能评价指标加权系数的优化,最后通过仿真分析验证了本文所提出的车辆主动悬架LQG控制器的可行性和有效性。
【Abstract】 In order to study the integration optimization problem of vehicle performance indicators such as body acceleration,pitching angular acceleration,suspension dynamic displacement and tire dynamic deflection,a linear quadratic and Gaussian(LQG) for active suspension system is proposed.Firstly,the half vehicle mathematical model of an active suspension system is established,and then the LQG controller for vehicle active suspension is designed for the tradeoff between ride comfort and handling stability.Furthermore,this paper makes key research on the optimization of the weight coefficients of each evaluating indicator in designing the vehicle controller by using genetic algorithm(GA).Finally,a simulation model for the proposed LQG controller of vehicle active suspension is built to verify the feasibility and effectiveness of the controller.
【Key words】 active suspension; LQG controller; genetic algorithm; ride comfort; handling stability;
- 【会议录名称】 2016中国汽车工程学会年会论文集
- 【会议名称】2016中国汽车工程学会年会暨展览会
- 【会议时间】2016-10-26
- 【会议地点】中国上海
- 【分类号】U463.33
- 【主办单位】中国汽车工程学会