基于模糊神经网络PID算法的伺服控制系统
he Servo Control System Based on FNN PID Algorithm
设计高精度的跟踪控制器是直流无刷电机伺服控制系统实现功能的重要保障。利用PID算法设计跟踪控制器模型进行控制虽然是一种有效的控制方法，由于它的精确数学模型难以确定，使得参数整定困难、控制效果不理想。本文针对上述问题，将PID算法、模糊控制算法以及神经网络算法相结合，形成了一种智能控制算法--模糊神经网络PID算法。利用Matlab/Simulink建立仿真模型对模糊神经网络PID控制算法进行验证，仿真结果表明，模糊神经网络PID控制器的动静态特性优于传统单一的PID控制。
racking controller designed is an important guarantee for brushless DC motor servo control system function realization. Use PID algorithm Servo control system is an effective Although control method, since it’s difficult to determine precise mathematical model, making parameter tuning difficulties, control effect is not ideal.This paper addresses this issue, PID algorithm, fuzzy control algorithms and neural network algorithms to form an intelligent control algorithm - FNN PID algorithm. The results show that the FNN PID algorithm is superior to the traditional static and dynamic characteristics of a single PID control.
杨垒
自动化技术、自动化技术设备
自动控制技术伺服控制系统模糊神经网络PID控制MATLAB/SUMLINK
Servo control systemFNN PID algorithmMATLAB / SUMLINK
杨垒.基于模糊神经网络PID算法的伺服控制系统[EB/OL].(2010-06-17)[2025-08-11].http://www.paper.edu.cn/releasepaper/content/201006-341.点此复制
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