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Fuzzy Self-Tuning Speed Control of an Indirect Field-Oriented Control Induction Motor Drive

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4 Author(s)
Mavungu Masiala ; Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB ; Behzad Vafakhah ; John Salmon ; Andrew M. Knight

The 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 the so-called ldquofuzzyrdquo 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 the conventional proportional-integral control and validated by simulation and experimental tests of both control techniques.

Published in:

IEEE Transactions on Industry Applications  (Volume:44 ,  Issue: 6 )