Title :
Fuzzy Self-Tuning Speed Control of an Indirect Field-Oriented Control Induction Motor Drive
Author :
Masiala, M. ; Vafakhah, B. ; Salmon, J. ; Knight, A.
Author_Institution :
Univ. of Alberta, Edmonton
Abstract :
Field-oriented control of induction machines is widely used in high-performance applications. However, detuning caused by parameter disturbances still limits the performance of these drives. In order to accomplish variable speed operation conventional PID-like controllers are commonly used. These controllers provide limited good performance over a wide range of operation, even under ideal field oriented conditions. An alternate approach is to use a so-called "fuzzy" controller. In this paper, a self-tuning fuzzy controller is implemented. The proposed controller has the ability to adjust its parameters online according to the error between actual machine speed and a model reference. The scheme is compared to conventional PI control and validated by simulation and experimental tests of both control techniques.
Keywords :
fuzzy control; induction motor drives; machine control; self-adjusting systems; velocity control; fuzzy self-tuning speed control; indirect field-oriented control; induction motor drive; parameter disturbances; variable speed operation; Adaptive systems; Electric variables control; Fuzzy control; Fuzzy logic; Induction machines; Induction motor drives; Rotors; Testing; Torque; Velocity control;
Conference_Titel :
Industry Applications Conference, 2007. 42nd IAS Annual Meeting. Conference Record of the 2007 IEEE
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1259-4
Electronic_ISBN :
0197-2618
DOI :
10.1109/07IAS.2007.156