DocumentCode
2702130
Title
ANN (artificial neural network) drive controller of space vector modulation increasing the performance of the induction motor and ensuring harmonic reduction
Author
Gulez, Kayhan ; Watanabe, Hiroshi ; Harashima, Fumio ; Ohnishi, Kouhei ; Pastaci, Halit
Author_Institution
Dept. of Electron. Syst. Eng., Tokyo Metropolitan Inst. of Technol., Japan
fYear
2000
fDate
2000
Firstpage
307
Lastpage
312
Abstract
Control systems have assumed an increasingly important role in the development and advancement of modern civilization and technology. Practically, every aspect of day-to-day activities is affected by some type of control system. Thus, the space-vector technique has become a popular pulse width technique (PWM) for three-phase inverters in applications such as control of AC induction and permanent-magnet synchronous motors. Digital control structures eliminate drifts, solve complex mathematical equations and by using a programmable processor, they can be easily upgraded for new control algorithms. Digital signal processors (DSPs) go further; their high performance allows them to perform high resolution control and minimize control loop delays. These technological improvements supported by artificial neural networks (ANN) have enabled the development of really effective AC drive control with ever lower power dissipation hardware and ever more accurate control structures
Keywords
backpropagation; digital control; digital signal processing chips; feedforward neural nets; induction motor drives; invertors; machine control; neurocontrollers; AC drive control; ANN drive controller; digital control structures; harmonic reduction; space vector modulation; technological improvements; Artificial neural networks; Control systems; Digital control; Equations; Pulse inverters; Pulse width modulation inverters; Signal processing algorithms; Space technology; Space vector pulse width modulation; Synchronous motors;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE 2000. Proceedings of the 39th SICE Annual Conference. International Session Papers
Conference_Location
Iizuka
Print_ISBN
0-7803-9805-X
Type
conf
DOI
10.1109/SICE.2000.889700
Filename
889700
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