节点文献
一种新的GA优化四自由度主动悬架控制
A new active suspension control with four-degrees of freedom based on genetic algorithm optimization
【Author】 ZUO Yan-yan,YAN Cai-bao (Institute of noise and vibration,Jiangsu University.Zhenjiang 212013)
【机构】 江苏大学振动噪声研究所；
【摘要】 建立了1/2四自由度汽车主动悬架模型,将遗传算法与最优控制理论相结合,提出了一种基于遗传算法通过缺省路面输入来优化LQG中K值的新的主动悬架控制方法,并在Matlab/Simulink环境中进行仿真模拟。仿真结果表明,该方法在改善汽车行驶平顺性和操纵稳定性等综合性能方面效果明显。
【Abstract】 A vehicle active suspension model with 0.5,four-degrees of freedom is established and by combining genetic algorithm with optimal control theory,a new control method of active suspension is presented.The new method is to optimize the value of K controlled by LQG in default of road input based on genetic algorithm.The simulation is conducted in the environment of Matlab / Simulink.The simulated results indicates that,this method has an obvious effect on improving comprehensive performance of vehicles,such as ride comfort and operating stability and so on.
【Key words】 Active suspension； Genetic algorithm； LQG four-degrees of freedom；
- 【会议录名称】 第十届全国振动理论及应用学术会议论文集（2011）上册
- 【会议名称】中国振动工程学会第七次全国会员代表大会暨第十届全国振动理论及应用学术会议
- 【会议时间】2011-10-27
- 【会议地点】中国江苏南京
- 【分类号】U463.33
- 【主办单位】中国振动工程学会、中国力学学会、中国航空学会、中国机械工程学会、中国宇航学会