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基于遗传算法的汽车主动悬架LQR控制器的优化设计
The Optimal Design of Automobile Active Suspension with LQR Controller Based on Genetic Algorithm
【摘要】 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。
【Abstract】 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 w ere enhanced.The simulink result show s that vibration impact of automibale body w as reduced using the LQR controller based on genetic algorithm.Which the operational stability and riding comfortableness w ere improved.
【关键词】 主动悬架;
LQR;
遗传算法;
目标函数;
仿真;
【Key words】 active suspersion; LQR; genetic algorithm; objective function; simulink;
【Key words】 active suspersion; LQR; genetic algorithm; objective function; simulink;
- 【文献出处】 组合机床与自动化加工技术 ,Modular Machine Tool & Automatic Manufacturing Technique , 编辑部邮箱 ,2013年06期
- 【分类号】U463.33;TP18
- 【被引频次】14
- 【下载频次】622