Title :
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
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;
Conference_Titel :
Electric Machines and Drives Conference Record, 1997. IEEE International
Conference_Location :
Milwaukee, WI
Print_ISBN :
0-7803-3946-0
DOI :
10.1109/IEMDC.1997.604180
