利用遗传算法优化改进型模糊控制器参数研究

摘要

This paper studies fuzzy controllers and proposes a new kind of fuzzy controllers containing integrator and self-adjusting factors. Aiming at optimizing fuzzy controllers' parameters, the paper puts forward genetic algorithm. Fuzzy controllers are simulated by Matlab and the result shows that fuzzy controllers possess good dynamic responses and self-adaptability.%对模糊控制器进行了研究,提出一种含积分项和自调整因子的模糊控制器.针对模糊控制器参数优化没有规律的问题,提出了利用遗传算法对模糊控制器的参数进行优化,并利用Matlab对模糊控制器进行了仿真,结果表明该模糊控制器具有良好动态响应和自适应性.