线性二次型最优控制(LQR)算法是汽车主动悬架控制策略的一种重要方法,其控制性能取决于悬架系统变量的加权系数.权值系数的选取成为LQR控制器设计的难点.针对权值系数没有固定解析方法而无法保证悬架系统达到最优控制性能的问题.提出一种基于遗传算法的权值系数优化方法,以1/4主动悬架的车身垂向加速度、悬架动挠度和轮胎动位移性能指标作为目标函数对LQR控制器的权值系数矩阵进行优化设计.仿真结果表明,与被动悬架控制相比,方法不仅能提高LQR控制器设计效率,而且可以有效提高车辆行驶的平顺性.%LQR controller design based on genetic algorithm is presented for the control of a vehicle active suspension system.Two degrees of freedom quarter car model is used.The optimal weighting matrices in LQR controller is obtained for the improvement of the ride comfort and the design efficiency of LQR controller.The simulation results in the time domain for the LQR control system based on GA demonstrate significant improvements in comparison with the passive system.On the other hand,the proposed system gives an easier to design compared with standard LQR algorithm.
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