Performance analysis of the sensorless adaptive sliding-mode neuro-fuzzy control of the induction motor drive with MRAS-type speed estimator

• Autorzy: Orłowska-Kowalska T. , Dybkowski M.
• Języki publikacji: EN

Abstrakty

EN

This paper discusses a model reference adaptive sliding-mode control of the sensorless vector controlled induction motor drive in a wide speed range. The adaptive speed controller uses on-line trained fuzzy neural network, which enables very fast tracking of the changing speed reference signal. This adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller in the direct rotor-field oriented control (DRFOC) of the induction motor (IM) drive structure. Connective weights of the controller are trained on-line according to the error between the actual speed of the drive and the reference model output signal. The rotor flux and speed of the vector controlled induction motor are estimated using the model reference adaptive system (MRAS) – type estimator. Presented simulation results are verified by experimental tests performed on the laboratory-rig with DSP controller.

Słowa kluczowe

EN

electrical drive; induction motor; adaptive control; sliding mode control; neuro-fuzzy control; sensorless control

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2012
• Tom: Vol. 60, nr 1
• Strony: 61--70
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Orłowska-Kowalska T.

autor

Dybkowski M.

• Institute of Electrical Machines, Drives and Measurements, Wroclaw University of Technology 19 Smoluchowskiego St., 50-372 Wroclaw, Poland,

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