基于模拟退火算法的汽车悬架最优控制研究

设计了一种基于模拟退火算法优化常规线性二次最优控制器权值矩阵的方法。利用该算法的随机搜索特点,以主动悬架性能指标为目标函数对权值矩阵进行优化设计,提高了LQR控制器的设计效率和控制性能,解决了常规线性二次最优控制器的权值矩阵确定问题。应用该方法进行了汽车悬架主动控制仿真。研究结果表明:基于模拟退火算法优化的LQR控制器的汽车主动悬架相对于应用常规LQR控制器的主动悬架和被动悬架,能够大大改善主动悬架的性能;同时在充分利用常规LQR控制器优势的基础上,改善了其权值矩阵确定存在的问题。

Optimal Control of Vehicle Suspension Based on the Simulated Annealing Algorithm

A method based on the simulated annealing algorithm is designed to optimize the weight matrix of the LQR controller.The proposed method utilizes the random searching of the algorithm to optimize and design the weight matrices of the target function of chassis performance indexes.The proposed method improves the design efficiency and control performance of the LQR control,and solves the problem of the LQR when defining the weight matrices.The method is adopted to simulate the vehicle active chassis control.The results show that the actively controlled chassis using LQR optimized by the simulated annealing algorithm can greatly improve the chassis performance,comparing with the chassis controlled by the normal LQR and the passive one.Meanwhile,the advantage of the normal LQR is sufficiently utilized.What′s more,the problem of defining the weight matrices is greatly improved.