A Linear Model Predictive Control design for Magnetic Levitation System

被引：0

作者：

Dutta, Lakshmi ^{[1
]}

Das, Dushmanta Kumar ^{[1
]}

机构：

[1] Natl Inst Technol Nagaland, Dept Elect & Elect Engn, Dimapur 797103, Nagaland, India

来源：

2020 INTERNATIONAL CONFERENCE ON COMPUTATIONAL PERFORMANCE EVALUATION (COMPE-2020) | 2020年

关键词：

Magnetic Levitation System (Maglev); Model Predictive Control (MPC); Receding Horizon control (RHC); One Degree of Freedom Proportional Integral and Derivative (1-DOF PID); IMPLEMENTATION;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This paper presents a linear model predictive control scheme for a magnetic levitation system (Maglev). The Maglev dynamics involve nonlinearity, highly unstable, makes it more challenging to design a suitable control algorithm. The objective of this work is to control the position of a ferromagnetic ball in the air space of the nonlinear system. In this research, the proposed controller is designed based on the linear prediction model, which is obtained by linearizing the plant around a known operating point. The effectiveness of the proposed linear model predictive control algorithm is verified in the simulation environment. For comparative analysis, the performance of the proposed controller is compared with a 1-DOF PID control technique [1] and found better results.

引用

页码：39 / 43

页数：5

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