基于遗传算法的汽车主动悬架LQR控制器的优化设计

摘要

Aiming at the LQR controller of Automobile active suspersion,The weighted matrix was optimized by utilizing the copmrehensive optimization searching ability of genetic algorithm.Which taking the controlling performance index as the objective function.The design efficiency and performance of LQR controller were enhanced.The simulink result shows that vibration impact of automibale body was reduced using the LQR controller based on genetic algorithm.Which the operational stability and riding comfortableness were improved.%针对汽车主动悬架LQR控制器的设计,利用遗传算法的全局搜索能力,以主动悬架的性能指标作为目标函数对加权矩阵进行优化,提高了LQR控制器的设计效率和性能.仿真结果表明基于遗传算法设计的LQR控制器减少了路面对车身的振动冲击,提高了汽车操作的稳定性和乘坐的舒适性.