DocumentCode :
2026003
Title :
Design of a HONN (high order neural network) by using a DSP based system for the performance increasing of an induction motor under changeable load
Author :
Gulez, Kayhan ; Mutoh, Nobuyoshi ; Harashima, Fumio ; Ohnishi, Kouhei ; Pastaci, Halit
Author_Institution :
Dept. of Electron. Syst. Eng., Tokyo Metropolitan Inst. of Technol., Japan
Volume :
4
fYear :
2000
fDate :
2000
Firstpage :
2315
Abstract :
Motor drives are traditionally designed with relatively inexpensive analog components. The weaknesses of analog systems are their susceptibility to temperature variations and the component aging. Another difficulty is upgrading the system for new needs. Digital control structures eliminate drifts, solve complex mathematical equations and, by using a programmable processor, can be easily upgraded for new control algorithms. Digital signal processors (DSP) go further; their high performance allows them to perform high resolution control and minimize control loop delays. By the help of their fast processor which works parallel, many complicated control algorithms can be implemented easily. With the importance of digital control structures, it was used a TMS320C50 processor board to implement the dynamic speed controller to induction motor. Also, it was used to increase the performance a HONN (high order neural network) structure in the ANN (artificial neural network) architecture in a very short time
Keywords :
control system synthesis; induction motor drives; machine control; machine theory; neurocontrollers; TMS320C50 processor; component aging; control loop delays; digital control structures; digital signal processors; high order neural network design; high resolution control; motor drive neurocontrol; programmable processor; Aging; Artificial neural networks; Digital control; Digital signal processing; Digital signal processors; Equations; Motor drives; Neural networks; Signal processing algorithms; Temperature;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics Society, 2000. IECON 2000. 26th Annual Confjerence of the IEEE
Conference_Location :
Nagoya
Print_ISBN :
0-7803-6456-2
Type :
conf
DOI :
10.1109/IECON.2000.972359
Filename :
972359
Link To Document :
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