基于神经网络给定补偿的永磁同步直线交流伺服系统H^∞控制  

H~∞ Control for Linear Permanent Magnet Synchronous AC Servo System with a Command-compensator Based on Artificial Neural Network

作　　者：郭庆鼎[1] 迟林春[1] 王成元[1] 

机构地区：[1]沈阳工业大学电气工程系,110023

出　　处：《控制与决策》2000年第1期75-78,共4页Control and Decision

基　　金：国家自然科学基金项目!(59875061)

摘　　要：以永磁同步直线伺服电机为被控对象，应用Ｈ∞控制理论设计了一种具有强鲁棒性的速度控制器。首次提出了基于神经网络给定补偿的Ｈ∞控制策略。仿真实验结果表明，该方案有效地克服了永磁直线电机参数变化及特有的端部效应等对系统的影响，提高了系统的性能指标。A robust speed controller for a linear permanent magent synchronous motor (LPSM) AC servo system based on H ∞ control theory is designed.The H ∞ control strategy with a feed-forward-command-compensator based on artificial neural network (ANN) is proposed first time. Simulation and experiment results verify that the proposed control strategy not only solve the thrust ripple problem of LPSM because of end effect, but also make the direct-drive system have strong robustness to parameter variation and external disturbances.

关 键 词：交流伺服系统 神经网络 H^∞控制 直线伺服电机 

分 类 号：TM921.541[电气工程—电力电子与电力传动] TM330.12