磁致伸缩作动器的位置跟踪补偿控制  

Position tracking and compensation control of magnetostrictive actuator

作　　者：杨理华[1] 朱石坚[1] 楼京俊[1] 李超博 刘海涛[2] 

机构地区：[1]海军工程大学动力工程学院 [2]92337部队

出　　处：《海军工程大学学报》2014年第6期1-5,共5页Journal of Naval University of Engineering

基　　金：国家自然科学基金资助项目(51009143);全国优秀博士学位论文作者专项基金资助项目(201057)

摘　　要：为提高磁致伸缩作动器控制精度,以Jiles-Atherton磁滞和动力学模型为基础,通过优化偏执磁场和预紧力来提高作动器线性度,并基于前馈控制、PID反馈控制及柔性神经网络理论,提出了前馈补偿PID及柔性神经网络前馈补偿PID控制策略。同时,以偏置正弦和阶跃为指令信号,研究作动器的位置跟踪和补偿控制。仿真表明:相比常规PID控制和前馈补偿PID控制,柔性神经网络前馈补偿PID控制具有更好的位置跟踪效果和抗干扰能力,具有无振荡、无超调、响应速度快的特点。Based on the Jiles-Atherton hysteresis and dynamic moael, me actuator proved by optimizing the paranoid magnetic field and the preload to improve the control precision of magnetostrictive actuator. And the feedforward compensation PID and flexible neural network feedforward compensation PID control strategies are proposed on the basis of the feedforward control, PID feedback control and flexible neural network theory. Then, the actuator position tracking and compensation control are researched with the bias sine and step as commanding signal. The simulation re- sults show that compared with traditional PID control and feedforward compensation PID control, the flexible neural network feedforward compensation PID controller is good in tracking performance and anti-disturbance capability and that it is characterized by non-vibration, non-overshoot and fast response.

关 键 词：磁致伸缩作动器 PID控制 前馈补偿 柔性神经网络 

分 类 号：O328[理学—一般力学与力学基础]