Experimental implementation of ANN based speed control for interior-type permanent magnet synchronous motors

Author

Rahman, M.A. ; Hoque, M.A.

Author_Institution

Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´´s, Nfld., Canada

fYear

1997

Abstract

This paper presents a laboratory implementation of a novel speed control scheme for an interior-type permanent magnet synchronous motor using a self-tuning artificial neural network. The newly devised artificial neural network control structure based on the inverse motor dynamics and nonlinear load characteristics has been realized in real-time using a digital signal processor controller board DS-1102

Keywords

adaptive control; digital control; machine control; machine testing; neurocontrollers; permanent magnet motors; power engineering computing; real-time systems; self-adjusting systems; synchronous motors; velocity control; DS-1102 DSP controller board; digital signal processor; interior-type permanent magnet synchronous motors; inverse motor dynamics; nonlinear load characteristics; real-time control; self-tuning artificial neural network; speed control scheme; AC motors; Artificial neural networks; Nonlinear equations; Permanent magnet motors; Permanent magnets; Predictive models; Synchronous motors; Tellurium; Torque; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Electric Machines and Drives Conference Record, 1997. IEEE International

Conference_Location

Milwaukee, WI

Print_ISBN

0-7803-3946-0

Type

conf

DOI

10.1109/IEMDC.1997.604180

Filename

604180