DocumentCode :
3139237
Title :
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
Link To Document :
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