机械与电子2016，Vol.34Issue(8)：41-43,47,4.
基于神经网络控制算法的气动伺服系统运动分析研究
Motion Analysis for the Pneumatic Servo System based on the Neural Network Control Algorithm
摘要
Abstract
This paper presents a neural network control method and explores the control accuracy of this control method through control of the rod free cylinder motion of the pneumatic servo system.It is difficult to establish an accurate mathematical modelfor the pneumatic servo system due to the influence of the nonlinear factors such as the compressibility of the air,the friction force and the disturbance of the starting system.In this paper,based on the nonlinear characteristics of the system and the PID control problem and the BP neural network control,a neural network PID controller is designed and tested.The analysis of the motion characteristics of the rod free cylinder shows that the control strategy can better control the motion accuracy of the pneumatic servo system.关键词
气动伺服系统/神经网络控制/运动精度Key words
pneumatic servo system/neural network control/motion precision分类
信息技术与安全科学引用本文复制引用
许翔宇,袁锐波..基于神经网络控制算法的气动伺服系统运动分析研究[J].机械与电子,2016,34(8):41-43,47,4.基金项目
昆明理工大学博士基金(高精度多自由度气动机械手位置伺服控制系统的研究) （高精度多自由度气动机械手位置伺服控制系统的研究）
