Multiple model based predictive control of magnetic levitation system

Author

Seban, L. ; Sahoo, N. ; Roy, B.K.

Author_Institution

Control & Ind. Autom. Res. Group, Nat. Inst. of Technol. Silchar, Silchar, India

fYear

2014

fDate

11-13 Dec. 2014

Firstpage

1

Lastpage

5

Abstract

This paper deals with the real time control of an electromagnetic ball suspension system using multiple model based predictive control (MMPC). The objective is to control the position of a metal ball in air space. The multiple model predictive control is designed based on the linearized models of the system about multiple operating conditions. For real time control a laboratory version of magnetic levitation device (33-210) by Feedback instruments is used. The performance of MMPC is compared with normal model predictive control (MPC) and found that MMPC is better than MPC.

Keywords

control system synthesis; electromagnets; magnetic levitation; magnetic variables control; position control; predictive control; suspensions (mechanical components); MMPC; electromagnetic ball suspension system; feedback instruments; linearized models; magnetic levitation system; multiple model based predictive control; position control; Coils; Magnetic levitation; Magnetic materials; Photonic crystals; Predictive control; Switches; Magnetic levitation; Model Predictive Control; Multiple Model Predictive Control;

fLanguage

English

Publisher

ieee

Conference_Titel

India Conference (INDICON), 2014 Annual IEEE

Conference_Location

Pune

Print_ISBN

978-1-4799-5362-2

Type

conf

DOI

10.1109/INDICON.2014.7030683

Filename

7030683