【摘要】 PID控制器参数的优化整定一直是自动控制领域的研究热点。提出一种利用改进思维进化计算(MEC)优化PID控制器参数的方法,在原有算法的框架上,加入自调整操作,依据进化方向和进化时间自动调整两种散布因子。经仿真表明使用SMEC方法整定得到的PID控制器参数可以获得满意的控制效果,其性能优于利用遗传算法得到的效果。更多还原

【Abstract】 The optimal parameter tuning for PID controller is always the hot issue in the automatic control area.The method of optimizing PID parameters by using improved mind evolutionary computation(MEC) is proposed.On the frame of existing algorithm,self-adjusting operation is added.In accordance with the evolution direction and evolution time,two of the spread factors are adjusted automatically.The results of simulation show that the optimal PID controller based on SMEC offers satisfying performance and is better than that based on the genetic algorithm.更多还原