一种智能模糊—PID控制器的研究

The Study of An Intelligent Fuzzy-PID Controller

本文提供了一种智能控制器的设计方法,在设计方法中综合运用了模糊控制技术、人工智能技术、PID 控制技术,当完成阶跃响应任务时,采用一类模糊控制器,其控制器参数 Ku 由 BP 神经元网络推理得到.进入稳态后的消除余差、抗干扰任务由 PID 控制器宛成.对于一类大常值干扰,采用另一类模期控制器改善了抗干扰性能,仿真结果说明了这种控制器设计方法的有效性.

In this paper we develop a design method of an Intelligent Fuzzy-PID controller (IFPC) by using fuzzy control technique,artificial intelligence technique and PID control comprehensively.When performing the set-point response task,a kind of fuzzy controller is used,whose parameter Ku is inferred by using BP neural network.The PID controller is used to inhibit the disturbance and eliminate the resident error when the output of system is in steady state.As to a kind of big constant disturbance,another king of fuzzy controller is used to improve the performance of anti-interference.The simulation results show the effectiveness of this design method.