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, 表面制造, 滚压诱导, 磨损行为, 梯度纳米结构

Abstract: 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.

Key words: pneumatic loading system;fuzzy inverse model;adaptive inverse control;least mean square(LMS) filtering algorithm, Burnishing, Gradient nanocrystalline, Surface manufacturing, Wear behavior