| 基于神经网络的永磁直线同步电机位置控制 |
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| 引用本文： | 武琳,王丽梅,左涛.基于神经网络的永磁直线同步电机位置控制[J].电气技术,2009(3):17-20. |
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| 作者姓名： | 武琳 王丽梅 左涛 |
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| 作者单位： | 沈阳工业大学电气工程学院,沈阳,110078 |
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| 摘 要： | 针对永磁直线同步电机(PMLSM)伺服系统中的诸多不确定性问题,提出了采用神经网络来实现实时积分-比例IP位置控制器的设计。本文所提出的神经网络结构合理、简单,权值具有明确物理意义和可以在线快速调整的特点,以便进行实时控制。用由模型参考自适应参数辨识器和负载扰动力观测器构成的估计器来估计动子质量和负载扰动力。将观测的负载扰动力前馈,进一步增强系统的鲁棒性。仿真结果表明,系统具有很强的鲁棒性,同时提高了稳态精度。
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| 关 键 词： | 永磁直线同步电机 神经网络积分-比例位置控制器 模型参考自适应参数辨识器 扰动观测器 |
Permanent Magnet Linear Synchronous Motor Position Control Based on Neural Network |
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| Wu Lin,Wang Limei,Zuo Tao.Permanent Magnet Linear Synchronous Motor Position Control Based on Neural Network[J].Electrical Engineering,2009(3):17-20. |
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| Authors: | Wu Lin Wang Limei Zuo Tao |
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| Affiliation: | School of Electrical Engineering;Shenyang University of Technology;Shenyang 110078 |
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| Abstract: | This paper presents a real-time IP position controller realized by neural network for permanent magnet linear synchronous motor (PMLSM) servo system. In the paper, neural networks configuration is simple and reasonable, and weight has definitely physical meaning. It has rapidly adjusting character in order to real-time control. The mover mass and disturbance force are estimated by the proposed estimator, which is composed of a model reference adaptive parameter identifier and a disturbance observer. The obs... |
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| Keywords: | PMLSM neural network real-time IP position controller model reference adaptive parameter identifier disturbance observer |
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