Robust position control for a field oriented linear brushless dc motor

A.A. Hassan, M. Azzam
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引用次数: 1

Abstract

This paper presents a robust state feedback controller for the linear brushless dc motor. The controller gains are calculated via solving the inverse dynamical system equations at all loads numerically. It has been found that the controller feedback gains for all the states are nonlinear functions of the load. Therefore, a neural network controller has been designed to provide the necessary gains at all loads. Computer simulations have been carried out in order to validate the effectiveness of the proposed scheme. The results show that accurate tracking performance of the linear brushless dc motor has been achieved. Moreover, the rise and settling times of the position response have been reduced significantly at all loads.
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磁场定向直流电动机的鲁棒位置控制
提出了一种线性无刷直流电动机的鲁棒状态反馈控制器。通过数值求解所有负载下的逆动力系统方程,计算出控制器增益。结果表明,所有状态下的控制器反馈增益都是负载的非线性函数。因此,设计了一种神经网络控制器,以在所有负载下提供必要的增益。为了验证所提方案的有效性,进行了计算机仿真。结果表明,该直线无刷直流电动机实现了准确的跟踪性能。此外,在所有荷载下,位置响应的上升时间和沉降时间都显著缩短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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