基于模糊神经网络的智能PID控制算法研究

Research on Intelligent PID Control Algorithm Based on Fuzzy Neural Network

摘要:

舵机控制系统存在响应速度慢、抗干扰能力差、系统参数不易整定、现有控制技术与设计方法的局限性等问题，这些问题影响了舵机的性能，为了提高制导火箭弹舵机伺服控制系统的性能，文章从舵机智能控制技术出发，研究了舵机的智能控制算法和SIMULINK系统仿真模型，采用模糊神经网络PID控制器来提高舵机的稳定性。仿真结果表明，模糊神经网络相比其它控制器进一步提升了舵机控制系统的控制效果。

Abstract:

The steering gear control system has problems such as slow response speed, poor anti-interference ability, difficult system parameter setting, limitations of existing control technology and design method, etc. These problems affect the performance of the steering gear, in order to improve the servo control of the guided rocket servo Based on the intelligent control technology of the steering gear, the intelligent control algorithm of the steering gear and the SIMULINK system simulation model are studied. The fuzzy neural network PID controller is used to improve the stability of the steering gear. The simulation results show that the fuzzy neural network further improves the control effect of the steering gear control system compared with other controllers.