计算机与现代化Issue(3)：1-5,5.DOI:10.3969/j.issn.1006-2475.2018.03.001
基于模糊神经网络PID的舵机控制系统
A Servo Control System Based on Fuzzy Neural Network PID
摘要
Abstract
This paper aims at optimizing the control system of servo in a certain missile.For a complex system with nonlinear and time-varying characteristics,an improved fuzzy neural network PID controller is proposed on the basis of the analysis of traditional PID control algorithm and fuzzy neural network control algorithm.Phased learning mode improves the network learning efficiency by the way of adopting self-organization learning and learning with a teacher.The mathematic model of DC brushless servo control system is established.Meanwhile,the simulation analysis is carried out by MATLAB as well.The experimental results show that the designed controller has faster step response with no overshoot basically and performs accurately with smaller phase shift under the rudder skew command.关键词
模糊神经网络/直流无刷舵机/PID控制器/MATLAB仿真Key words
fuzzy neural network/DC brushless servo/PID controller/MATLAB simulation分类
信息技术与安全科学引用本文复制引用
卜庆伟,陈雄,柴金宝,崔二伟..基于模糊神经网络PID的舵机控制系统[J].计算机与现代化,2018,(3):1-5,5.基金项目
国家自然科学基金资助项目(51606098) （51606098）
江苏省自然科学基金资助项目(BK20140772) （BK20140772）
