摘要
在汽车主动悬架LQG控制器的设计中,以悬架性能指标作为目标函数的加权系数通常为定值,为使系统性能达到更优,提出利用果蝇算法的参数少、易调节、计算量小、寻优精度高的特性,对其进行优化,提高LQG控制器的设计效率和性能。仿真结果表明,与传统的LQG控制结果进行对比,所采用的LQG控制果蝇优化权值系数方法更能改善汽车的主动悬架的性能。
In the design of LQG controller for vehicle active suspension,the weighting factors of the objective function of suspension performance index are usually treated as a fixed value.In order to make the system performance better and improve the design efficiency and the performance of the LQG controller,the optimization method of weighting factors by using Fruit Fly Optimization Algorithm(FOA)is proposed.This method has the advantages of fewer parameters,less computer time consuming,high precision of optimization,and easy adjusting.The simulation results show that compared with the traditional LQG control,the proposed optimization method of weighting factors by using FOA of LQG control can improve the performance of the active suspension more effectively.
作者
李冰林
孙宁
LI Bing-lin;SUN Ning(College of Automobile and Traffic Engineering, Nanjing Forestry University, Nanjing 210037, China)
出处
《噪声与振动控制》
CSCD
2017年第4期20-24,共5页
Noise and Vibration Control
基金
江苏省高校自然科学基金资助项目(13KJB580006)
江苏省自然科学基金资助项目(BK20130977)
关键词
振动与波
主动悬架
LQG控制
果蝇算法
加权系数
vibration and wave
active suspension
LQG control
fruit fly optimization algorithm (FOA)
weighting factors
