Title :
DSP implementation of neural network speed estimator for inverter fed induction motor
Author :
Sobczuk, Dariusz L. ; Grabowski, Pawel Z.
Author_Institution :
Inst. of Control & Ind. Electron., Warsaw Univ. of Technol., Poland
fDate :
31 Aug-4 Sep 1998
Abstract :
The paper presents the application of online trained neural networks (NN) working as speed estimators for the speed control of induction motors. Improvement of the basic scheme using small structure modification is shown. Also, a new method of speed estimation is described. The implementation of the both systems based on the TMS320C31 is presented. Experimental and simulation results are also shown
Keywords :
DC-AC power convertors; control system analysis; control system synthesis; induction motors; invertors; learning (artificial intelligence); machine control; machine testing; machine theory; neurocontrollers; parameter estimation; velocity control; TMS320C31; control design; control simulation; induction motor; inverter; neural network speed estimator; online trained neural networks; small structure modification; speed control; Digital signal processing; Equations; Estimation error; Induction motors; Industrial electronics; Inverters; Neural networks; Sensorless control; Stators; Voltage;
Conference_Titel :
Industrial Electronics Society, 1998. IECON '98. Proceedings of the 24th Annual Conference of the IEEE
Conference_Location :
Aachen
Print_ISBN :
0-7803-4503-7
DOI :
10.1109/IECON.1998.724227
