DocumentCode :
1730527
Title :
AC servo motor drive systems using auto-tuning gain parameter processor with automatic learning control scheme
Author :
Inoue, Kenji ; Yoshitugu, Junnji ; Shirogane, Shin ; Boyagoda, Prasanna ; Nakaoka, Mutsuo
Author_Institution :
Dev. Lab. of New Products, Shinko Electr. Co. Ltd., Mie, Japan
fYear :
1997
Firstpage :
1012
Abstract :
In this paper, an advanced control method of system parameter auto-tuning implementation for an AC servo system using fuzzy reasoning logic with an automatic learning control function is described. This method includes three features: (i) it is not necessary to input some kinds of fuzzy rules to the servo system before starting auto-tuning operation, thus, the fuzzy rules can be automatically produced in logical process learning; (ii) knowledge and information about the system parameter tuning technique are not required; and (iii) both high speed response and robustness can be obtained. The feasible effectiveness of this auto-tuning processing approach for an AC servo system are practically confirmed through experimental results
Keywords :
AC motor drives; cognitive systems; fuzzy control; fuzzy set theory; learning systems; machine control; self-adjusting systems; servomotors; AC servo motor drive systems; advanced control method; auto-tuning gain parameter processor; automatic learning control; automatic learning control function; fuzzy reasoning logic; fuzzy rule sets; fuzzy rules; high speed response; logical process learning; robustness; system parameter auto-tuning; Automatic generation control; Control systems; Data engineering; Fuzzy control; Fuzzy logic; Fuzzy reasoning; Fuzzy sets; Fuzzy systems; Motor drives; Servomechanisms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1997. ISIE '97., Proceedings of the IEEE International Symposium on
Conference_Location :
Guimaraes
Print_ISBN :
0-7803-3936-3
Type :
conf
DOI :
10.1109/ISIE.1997.648871
Filename :
648871
Link To Document :
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