Iterative learning control method for permanent magnet synchronous liner motor based on vector control

Author

Cao Rongmin ; Jia Heshuai

Author_Institution

Coll. of Autom., Beijing Inf. Sci. & Technol. Univ., Beijing, China

fYear

2013

fDate

23-26 June 2013

Firstpage

1

Lastpage

6

Abstract

Based on the analysis of the operating principle and the mathematical model of Permanent Magnet Synchronous Liner Motor (PMSLM), a model of PMSLM double loop control system based on vector control is designed with Matlab /Simulink, and with the model, a Current track-type PWM inverter model is given. Based on the double loop control system, an iterative learning control (ILC) method with a configuration of feedback is proposed to achieve precise tracking control of the PMSLM over a finite time interval. In the end, the ILC simulation and experiment research for the whole system are carried out. It is verified that ILC with composite control algorithm has a good performance in improving the position tracking ability of the PMSLM system by simulation and experiments results.

Keywords

PWM invertors; adaptive control; control system synthesis; feedback; iterative methods; learning systems; linear synchronous motors; machine vector control; permanent magnet motors; position control; tracking; ILC simulation; Matlab; PMSLM double loop control system; Simulink; composite control algorithm; current track-type PWM inverter model; feedback configuration; finite time interval; iterative learning control method; mathematical model analysis; operating principle analysis; permanent magnet synchronous liner motor; position tracking ability; precise tracking control; vector control; AC motors; DC motors; Machine vector control; Mathematical model; Permanent magnet motors; Servomotors; Synchronous motors; ILC with composite control; PMSLM; position tracking; vector control;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ASCC), 2013 9th Asian

Conference_Location

Istanbul

Print_ISBN

978-1-4673-5767-8

Type

conf

DOI

10.1109/ASCC.2013.6606351

Filename

6606351