DocumentCode :
1590762
Title :
Robust control for induction servo motor drive
Author :
Wai, Rong-Jong
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Chung Li, Taiwan
Volume :
2
fYear :
2001
fDate :
6/23/1905 12:00:00 AM
Firstpage :
760
Abstract :
This study addresses the design and properties of a robust control system for an induction servo motor drive to track periodic commands. The presentation of robust control for the indirect field-oriented induction servo motor drive system is divided into three parts, which comprise state feedback controller, feedforward controller and disturbance controller. The adaptation laws of control gains in the robust control system are derived in the sense of Lyapunov stability theorem. In the whole design process, the prior knowledge of the controlled plant is not necessary and the asymptotic stability of the control system can be guaranteed. It not only has the learning ability similar to intelligent control, but also its control framework is simpler than intelligent control. With the proposed robust control system, the controlled induction servo motor drive possesses the advantages of good tracking control performance and robustness to uncertainties. The effectiveness of the proposed control scheme is verified by both the simulated and experimental results
Keywords :
Lyapunov methods; asymptotic stability; feedback; feedforward; induction motor drives; machine vector control; robust control; servomotors; Lyapunov stability theorem; adaptation laws; asymptotic stability; control gains; disturbance controller; feedforward; indirect field-oriented control; induction servo motor drive; learning ability; periodic commands tracking; robust control system; robustness; state feedback controller; Asymptotic stability; Control systems; Intelligent control; Lyapunov method; Motor drives; Process design; Robust control; Servomechanisms; State feedback; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics Specialists Conference, 2001. PESC. 2001 IEEE 32nd Annual
Conference_Location :
Vancouver, BC
ISSN :
0275-9306
Print_ISBN :
0-7803-7067-8
Type :
conf
DOI :
10.1109/PESC.2001.954210
Filename :
954210
Link To Document :
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