Application of Model Predictive Controller to Magnetic Levitation

被引：1

作者：

Novotny, Ales ^{[1
]}

Honc, Daniel ^{[1
]}

机构：

[1] Univ Pardubice, Dept Proc Control, Pardubice, Czech Republic

来源：

2023 24TH INTERNATIONAL CONFERENCE ON PROCESS CONTROL, PC | 2023年

关键词：

model predictive control; non-linear system; magnetic levitation system; extended Kalman filter; laboratory plant CE 152;

D O I：

10.1109/PC58330.2023.10217631

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Model Predictive Control (MPC) is an advanced process control method that is widely used for controlling both linear and under some modifications for non-linear systems. The aim of this work is to show a way how to apply MPC to a non-linear Magnetic Levitation System (MLS) and its capability of stabilization and closed-loop performance. This work is a continuation of the previous article where the laboratory plant CE 152 MLS was identified, and a non-linear model was designed. This paper proposes a control circuit consisting of linearized discretized non-linear MLS model, Extended Kalman Filter (EKF) algorithm for state estimation and linear MPC. The results are verified in simulation and real-world experiment.

引用

页码：90 / 95

页数：6

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