基于非线性状态估计器的磁悬浮系统离散反演控制

Abhishek Nayak, B. Subudhi
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引用次数: 6

摘要

本文针对磁悬浮系统实现了一种离散鲁棒控制器。为了避免磁悬浮系统非线性模型的离散化问题,本文采用了采样时间足够小且容易得到的欧拉近似模型。由于磁悬浮模型只有位置测量作为输出,因此采用克瑞塞尔迈尔滤波对未测量状态进行估计。推导了一种离散反步控制器,并在具有数模转换单元和模数转换单元的磁悬浮系统中实现。通过仿真验证了该控制器与连续反步控制器和PID控制器的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discrete backstepping control of magnetic levitation system with a nonlinear state estimator
In this paper a discrete robust controller is implemented for a magnetic levitation system. To circumvent the problem of discretizing the nonlinear model of magnetic levitation system, the paper uses much easier obtained Euler approximated model with sufficiently small sampling time. The magnetic levitation model has only position measurement available as the output, thus a Kreisselmeier filter is implemented to estimate the unmeasured state. A discrete backstepping controller is derived and implemented with magnetic levitation system with digital to analog and analog to digital conversion units. The efficacy of the proposed controller, when compared with continuous backstepping controller and PID controller, is illustrated via simulation.
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