DocumentCode :
3188544
Title :
Robust control of induction motor using fuzzy sliding adaptive controller with sliding mode torque observer
Author :
Yoon, Byung-Do ; Kim, Yoon-Ho ; Kim, Chan-Ki ; Kim, Choon-Sam
Author_Institution :
Dept. of Electr. Eng., Chungang Univ., Seoul, South Korea
Volume :
1
fYear :
1995
fDate :
6-10 Nov 1995
Firstpage :
518
Abstract :
In this paper, a robust speed controller for an induction motor is proposed. The speed controller consists of a fuzzy sliding adaptive controller (FSAC) and a sliding mode torque observer (SMTO). The FSAC removes the problem of oscillations caused by discontinuous inputs of the sliding mode controller. The controller also provides robust characteristics against parameter and sampling time variations. Although, however, the performance of FSAC is better than the PI controller and fuzzy controller in robustness, it generates the problem of slow response time. To alleviate this problem, a compensator, which performs feedforward control using torque signals produced by the SMTO, is added. The simulation and hardware implementation results show that the proposed system is robust to the load disturbance, parameter variations, and measurement noises
Keywords :
adaptive control; control system analysis; control system synthesis; feedforward; fuzzy control; induction motors; machine control; machine testing; machine theory; observers; robust control; torque control; variable structure systems; velocity control; control simulation; feedforward control compensator; fuzzy sliding adaptive controller; induction motor; parameter variations; performance; response time; robust speed controller; sampling time variations; sliding mode torque observer; torque signals; Adaptive control; Delay; Fuzzy control; Induction motors; Noise robustness; Programmable control; Robust control; Sampling methods; Sliding mode control; Torque control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, Control, and Instrumentation, 1995., Proceedings of the 1995 IEEE IECON 21st International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-3026-9
Type :
conf
DOI :
10.1109/IECON.1995.483462
Filename :
483462
Link To Document :
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