设计了一种基于神经网络的模糊自适应PID控制器。仿真结果表明:该控制器既具有高精度、快速的特点,也具有自适应、自学习的能力并可迅速消除系统误差,保证系统有良好的动、静态特性,并能实现PID参数的在线自调整。 A fuzzy adaptive PID controller based on neural network is designed. The simulation results show that the controller not only has the characteristics of high precision and fast, but also has the ability of self-adaptation and self-learning, and can quickly eliminate system errors to ensure that the system has good dynamic and static characteristics, and can realize on-line self-tuning of PID parameters Adjustment.