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

Volume

2

fYear

1998

fDate

31 Aug-4 Sep 1998

Firstpage

981

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IECON.1998.724227

Filename

724227