线性感应电动机的离散时间神经网络控制

2008 IEEE International Symposium on Intelligent Control Pub Date : 2008-09-30 DOI:10.1109/ISIC.2008.4635945

M. Hernández-González, E. Sánchez, A. Loukianov

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引用次数: 13

摘要

提出了一种线性感应电动机的离散时间控制方法。首先，提出了一种具有非线性块可控形式(NBC)结构的标识符。该辨识器基于基于扩展卡尔曼滤波(EKF)算法在线训练的离散时间高阶神经网络。然后，采用滑模控制实现速度和磁链的跟踪。通过仿真验证了神经网络控制的性能。

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Discrete-time Neural Network Control for a Linear Induction Motor

This paper presents a discrete-time control for a linear induction motor (LIM). First, an identifier is proposed with a nonlinear block controllable form (NBC) structure. This identifier is based on a discrete-time high order neural network trained on-line with an extended Kalman filter (EKF)-based algorithm. Then, a sliding mode control is used to achieve the purpose of tracking velocity and magnitude flux. The neural control performance is illustrated via simulations.

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2008 IEEE International Symposium on Intelligent Control

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