基于遗传算法的发电机线性最优励磁控制研究

介绍了求解发电机励磁控制器中的增益矩阵K的一种新算法－－遗传算法，它不同于常规算法的特点在于，从多个方面初始点开始，沿多路径搜索实现全局最优或准全局最成，计算过程不需要存储状态或决策变量的离散点，节约计算机内存，不必求导计算，编程简单，是一种有效的自适应随机搜索算法，仿真结果表明，用遗传算法设计的发电机励磁控制器具有良好的控制效果和鲁棒性。

Research on Optimal Linear Excitation Control for Synchronous Generators with Genetic Algorithm

A new method, genetic algorithm(GA), for the computation of the optimal feedback gain matrix K in excitation controller is presented. The GA uses a population of points at a time in contrast to the single-point approach by the traditional ones. The optimal solution by GA will guarantee to find the global optimum. The GA has benefit of greatly reduced memory requirement. It does not demand derivation calculus. It is a good adaptive stochastic search method. The digital simulation shows that the excitation controller designed with the proposed method has good control performance and robustness.