利用遗传算法优化线性二次型调节器(LQR)

Optimization of linear quadratic regulator using genetic algorithms

利用遗传算法对线性二次型调节器（ＬＱＲ）进行优化设计，以寻找最优控制指标中状态变量与输入变量加权矩阵的最优解．仿真结果表明，利用此方法不仅可以得到满足要求的全局最优解，而且该方法的简便易行也是传统设计中依靠人工调节所无法比拟的．

Genetic algorithms (GAs) are used for optimization of linear quadratic regulator (LQR) to search the optimal solutions of weighting matrices of condition and input variables in control performance. The results of simulation show that GAs can efficiently optimize the performance of LQR controllers and reduce the design cycle time from hours to minutes compared to original optimization method.