Title :
Adaptive sliding-mode neuro-fuzzy control of the sensorless induction motor drive with MRASCCestimator
Author :
Orlowska-Kowalska, Teresa ; Dybkowski, Mateusz ; Szabat, Krzysztof
Author_Institution :
Inst. of Electr. Machines, Drives & Meas., Wroclaw Univ. of Technol., Wroclaw, Poland
Abstract :
In the paper a model reference adaptive sliding-mode control using on-line trained fuzzy neural network is applied to the sensorless induction motor drive system with MRAS type speed estimator. In this control structure adaptive sliding-mode neuro-fuzzy controller (ASNFC) is used as a speed controller, in the direct field oriented control structure. Connective weights of this 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 novel MRASCCestimator. Simulation results are verified in experimental tests.
Keywords :
angular velocity control; fuzzy control; induction motor drives; machine vector control; model reference adaptive control systems; neurocontrollers; variable structure systems; MRASCCestimator; direct field oriented control structure; induction motor vector control; model reference adaptive sliding mode control; neurofuzzy control; rotor flux; sensorless induction motor drive; speed estimator; Adaptive control; Error correction; Fuzzy control; Fuzzy neural networks; Induction motor drives; Programmable control; Rotors; Sensorless control; Sliding mode control; Weight control; Adaptive control; Electrical drive; Induction motor; Sensorless control; Sliding mode control;
Conference_Titel :
Power Electronics and Applications, 2009. EPE '09. 13th European Conference on
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-4432-8
Electronic_ISBN :
978-90-75815-13-9
