基于改进遗传算法的FNN PID控制器在温度控制系统中的应用

Application of Modified GA-FNN PID Controller in Temperature Control System

根据温度控制系统的特点,为提高其控制质量,设计了一种模糊神经PID控制器。该控制器在温度偏差大时采用模糊神经控制,偏差小时采用模糊神经PID控制,由模糊控制开关保证两种控制方法的平滑过渡,用改进的遗传算法优化网络参数。仿真实验表明采用该控制方法系统响应速度更快、超调更小、精度更高、适应性更强。

Based on the characteristics of the temperature control system,this paper proposes a FNN PID controller to improve its efficiency.The FNN controller is used when the error is big,the FNN-PID controller is used when the error is small,using a fuzzy control switch guarantees their smooth transition,optimizing the neural network by modified genetic algorithm.Simulation result shows that this controller has enhanced response speed.smaller over-shoot.higher control accuracy and better adapt ability.