摘要
针对滞后大、非线性等复杂的系统,常规PID控制算法已无法满足控制任务要求。为解决此类问题,文中提出从智能PID控制中的模糊PID控制、BP神经网络PID控制着手,仿真比较智能PID控制与常规PID控制的控制结果。实验表明,智能PID控制的超调量可达到0,稳定时间也大幅缩短,使系统整体的动静态特性得到了有效地改善。
With the rapid development of modern industry,the conventional PID control algorithm can not meet the requirements of the control task. In order to solve these problems,the fuzzy PID control and BP neural network PID control are included in intelligent PID control for simulation and comparison of the control results of the intelligent PID control and conventional PID control. The experiments show that the overshoot of the intelligent PID control can reach 0 with the stability time greatly shortened and the dynamic and static characteristics of the system improved.
出处
《电子科技》
2016年第7期43-46,共4页
Electronic Science and Technology
