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Adaptive Neuro-Fuzzy Control of the Sensorless Induction Motor Dive System
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| Author(s) |
Teresa Orlowska-Kowalska, Mateusz Dybkowski, Krzysztof Szabat |
| Abstract |
In the paper a model reference adaptive
control speed control (MRAC) using on-line trained fuzzy
neural network (FNN) was applied to the sensorless
induction motor drive system. In this control method fuzzylogic
controller is equipped with additional option for online
tuning its chosen parameters. In the paper PI-type fuzzy
logic controller is used as the speed controller, in the field
oriented control structure, whose connective weights are
trained on-line according to the error between the states of
the plant and the reference model. The FNN speed controller
is on-line tuned to preserve favorable model-following
characteristics under various operating conditions. The
rotor flux and speed of vector controlled induction motor
was estimated using the full-order state observer and speed
estimator. The simulation results were verified in the
experimental tests, in the wide range of motor speed and
parameters changes. |
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| Filename: | T16-204.pdf |
| Filesize: | 546.6 KB |
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| Type |
Members Only |
| Date |
Last modified 2007-03-08 by System |
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