气动加载系统的模糊自适应逆控制方法  

Fuzzy Adaptive Inverse Control for Pneumatic Loading System

作　　者：刘福才[1] 刘砚[1] 徐文丽[1] 刘吉斯[1] 

机构地区：[1]燕山大学电气工程学院,秦皇岛066004

出　　处：《机械工程学报》2014年第14期185-190,共6页Journal of Mechanical Engineering

基　　金：国家高技术研究发展计划(863计划);河北省自然科学基金(2010001320)资助项目

摘　　要：气动加载系统具有时滞、时变及强非线性等特点,为了提高气动加载系统的控制精度,克服传统PI控制算法的不足,提出一种气动压力加载系统的模糊自适应逆控制方案。利用模糊辨识理论对气动加载系统进行离线逆建模,得到初始逆模型,并将该初始逆模型作为初始控制器,控制气动加载系统的输出压力,运行过程中采用最小方均根(Least mean square,LMS)滤波算法在线修正控制器的参数。基于VC++6.0软件开发平台设计系统实时控制程序,在一套电气比例压力阀控气动加载系统上进行试验研究。通过与PI控制算法、模糊比例积分微分(Proportion,integration,differentiation,PID)控制算法进行比较,结果表明设计的气动加载系统控制器控制精度高、响应速度快、抗扰能力强。The pneumatic loading system has the characteristics of time delay, time-varying and serious nonlinearity. In order to improve the control precision and overcome the shortcomings of traditional PI control algorithm, fuzzy adaptive inverse control is proposed to control the pressure of pneumatic loading system. Inverse model the pneumatic loading system off-line with fuzzy identification theory and get the initial inverse model. Take the initial inverse model as the initial controller to control the output pressure of the pneumatic loading system, and update the parameters of the controller online with the LMS filtering algorithm. Based on VC＋＋ 6.0 software development platform, real-time control program is designed and tested on a pneumatic loading system. By comparing to the PI control algorithm, and fuzzy proportion, integration, differentiation control algorithm, the results prove that the proposed controller has high control accuracy, fast response and strong anti-disturbance ability for the pneumatic loading system.

关 键 词：气动加载系统 模糊逆模型 自适应逆控制 最小方均根滤波算法 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]