Title :
Linear speed-up parallel implementation of continually online trained neural networks for identification and control of fast processes [induction motor control]
Author :
Burton, Bruce ; Harley, Ronald G.
Author_Institution :
Dept. of Electr. Eng., Natal Univ., Durban, South Africa
Abstract :
This paper summarises progress to date and presents the latest findings and results of ongoing work on high speed ASIC and parallel DSP implementation of continually online trained (COT) artificial neural networks (ANNs) for system identification and control, with particular reference to induction motor current control. Practical current responses produced by a low speed single Inmos T800 transputer implementation of the current loop demonstrate the practical success of this particular application of COT ANNs and the need for high speed implementation of COT. Two new methods of high speed COT ANN implementation on parallel hardware are described and evaluated by means of practical results obtained using two T800s. Several issues regarding high speed parallel implementation of COT ANNs on several Texas Instruments TMS320C40 DSPs are also described
Keywords :
electric current control; induction motors; learning (artificial intelligence); machine control; neurocontrollers; parallel processing; power engineering computing; transputers; ASIC; Inmos T800 transputer; Texas Instruments TMS320C40 DSPs; artificial neural networks; continually online trained neural networks; fast process control; fast process identification; induction motor current control; linear speed-up parallel implementation; parallel DSP; parallel hardware; Application specific integrated circuits; Artificial neural networks; Control systems; Current control; Digital signal processing; Induction motors; Neural networks; Nonlinear equations; Stators; System identification;
Conference_Titel :
Industry Applications Conference, 1996. Thirty-First IAS Annual Meeting, IAS '96., Conference Record of the 1996 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-3544-9
DOI :
10.1109/IAS.1996.559300
