遗传算法对CMAC与PID并行励磁控制的优化

Genetic Algorithm Optimization for CMAC and PID Excitation Parallel Control

为解决同步发电机在不同工况下的PID控制参数最优化,干扰情况下的快速稳定等问题,提出了一种通过遗传算法来优化CMAC与PID的并行控制策略。由遗传算法来对PID参数进行全局择优,CMAC在其基础上进行局部择优,以达到所需要的控制效果。Matlab仿真表明该控制方案与传统控制方案相比具有优越性,通过现场试验表明算法的可行性和实际控制效果的优越性。

In order to solve the problems of synchronous generators that PID control parameters optimization underdifferent operating conditions, and fast stability in the case of disturbance, a parallel control strategy basedon genetic algorithm was proposed to optimize CMAC and PID. The PID parameters were globally optimized bygenetic algorithm, and then local optimization was finished by the CMAC to achieve the desired control effect.Matlab simulation results show that the proposed control scheme is superior to the traditional control scheme,and the feasibility of the algorithm and the superiority of the actual control effect are demonstrated through fieldtests.