Title :
Rotor time constant adaptation with ANN application
Author :
Brandstetter, Pavel ; Cajka, Radim ; Skuta, Ondrej
Author_Institution :
VSB-Tech. Univ. of Ostrava, Ostrava
Abstract :
In the paper there are presented results of method for rotor time constant adaptation with application of artificial neural network. The method employs the model reference adaptive system (MRAS). The adaptation algorithm is designed according to the Popov´s criterion for hyperstability. The method is based on application of current model and voltage model of rotor flux in MRAS. The estimation of rotor time constant for adaptive model of MRAS is realized by the help of PI-controller. In next part of the paper there is described a replacement of adaptation algorithm in MRAS by the help of artificial neural network. The estimated rotor time constant is necessary for so-called current model. The current model is used in the vector control of the induction motor and serves for the determination of the quantities for the transformation from stationary reference frame into reference frame, which is oriented on the rotor flux space vector. Simulations have been performed in the Matlab-Simulink. The control algorithms are implemented using TMS320C2812 DSP. At the end of the paper some simulation and experimental results are provided to demonstrate the effectiveness of proposed method.
Keywords :
PI control; Popov criterion; digital signal processing chips; electric machine analysis computing; induction motors; machine vector control; model reference adaptive control systems; neural nets; rotors; ANN; Matlab-Simulink; PI-controller; Popov criterion; TMS320C2812 DSP; adaptive model; artificial neural network; current model; induction motor; model reference adaptive system; rotor flux space vector control; rotor time constant adaptation; voltage model; Adaptive systems; Algorithm design and analysis; Artificial neural networks; Computer languages; Induction motors; Machine vector control; Mathematical model; Rotors; Space stations; Voltage; Adjustable speed drive; DSP; Induction motor; Neural network; Vector control;
Conference_Titel :
Power Electronics and Applications, 2007 European Conference on
Conference_Location :
Aalborg
Print_ISBN :
978-92-75815-10-8
Electronic_ISBN :
978-92-75815-10-8
DOI :
10.1109/EPE.2007.4417721