DocumentCode :
3362405
Title :
Control of permanent magnet AC servo motors via fuzzy reasoning
Author :
Kim, Dong-Il ; Lee, Jin-Won ; Kim, Sungkwun
Author_Institution :
Samsung Electronics, Kyungki-Do, South Korea
fYear :
1992
fDate :
4-9 Oct 1992
Firstpage :
482
Abstract :
A control method which drives the permanent magnet AC servomotor without the detection of the rotor position by an absolute position transducer such as an absolute encoder or a resolver is described. An incremental encoder is only coupled to the motor shaft in order to obtain the information for electrical commutation, motor speed, and motor position. A fuzzy algorithm based on the min-max compositional rule of inference is developed for the estimation of the absolute rotor position which is essential to electrical commutation. The proposed control algorithm was implemented on a microprocessor control system. Experimental results show that the proposed control system can be effectively used to control the permanent magnet AC servo motor with high dynamic performance
Keywords :
AC motors; commutation; digital control; fuzzy control; inference mechanisms; machine control; microcomputer applications; parameter estimation; permanent magnet motors; position control; rotors; servomotors; velocity control; algorithm; digital control; dynamic performance; electrical commutation; fuzzy control; fuzzy reasoning; incremental encoder; inference; machine control; microprocessor; min-max compositional rule; parameter estimation; permanent magnet AC servomotor; position control; rotor; sensorless; velocity control; AC motors; Commutation; Control systems; Fuzzy reasoning; Inference algorithms; Permanent magnet motors; Permanent magnets; Rotors; Servomechanisms; Servomotors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industry Applications Society Annual Meeting, 1992., Conference Record of the 1992 IEEE
Conference_Location :
Houston, TX
Print_ISBN :
0-7803-0635-X
Type :
conf
DOI :
10.1109/IAS.1992.244357
Filename :
244357
Link To Document :
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