DocumentCode :
2101936
Title :
Grey feedback linearization speed control for induction servo motor drive
Author :
Wai, Rong-Jong ; Duan, Rou-Yong ; Chang, Li-Jung
Author_Institution :
Dept. of Electr. Eng., Yuan Ze Univ., Chung Li, Taiwan
Volume :
1
fYear :
2001
fDate :
2001
Firstpage :
580
Abstract :
This study mainly focuses on the development of an uncertainty predictor based on the grey theory as a possible solution to improve the shortcoming of the traditional feedback linearization control scheme. Moreover, the newly designed grey feedback linearization control system is implemented for an indirect field-oriented induction servo motor drive to track periodic speed commands. In the proposed control system, a grey uncertainty predictor is designed to adjust the lumped uncertainty existing in the induction servo motor drive into a feedback linearization control law on line. In addition, the effectiveness of the proposed control scheme is verified by both the simulated and experimental results. With the proposed control system, the controlled induction servo motor drive possesses the advantages of good tracking control performance and robustness to uncertainties
Keywords :
angular velocity control; feedback; grey systems; induction motor drives; linearisation techniques; machine vector control; servomotors; tracking; 130 V; 5.6 A; 60 Hz; 800 W; feedback linearization control; feedback linearization control law; grey feedback linearization control system; grey feedback linearization speed control; grey theory; grey uncertainty predictor; indirect field-oriented induction servo motor drive; induction servo motor drive; lumped uncertainty; periodic speed commands tracking; tracking control performance; uncertainty predictor; Control systems; Induction motors; Linear feedback control systems; Motor drives; Pi control; Rotors; Servomechanisms; Torque control; Uncertainty; Velocity control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2001. IECON '01. The 27th Annual Conference of the IEEE
Conference_Location :
Denver, CO
Print_ISBN :
0-7803-7108-9
Type :
conf
DOI :
10.1109/IECON.2001.976549
Filename :
976549
Link To Document :
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