Journal Article

·2002

ANN (artificial neural network) drive controller of space vector modulation increasing the performance of the induction motor and ensuring harmonic reduction

Kayhan Gülez YTU , Hiroshi Watanabe YTU , Fumio Harashima , Kouhei Ohnishi , Halit Pastaci YTU

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

Pulse-width modulation Artificial neural network Induction motor Digital signal processor Computer science Control engineering Vector control Reduction (mathematics) Control system Digital signal processing Controller (irrigation) Digital control Field-programmable gate array Space vector modulation Harmonic Control theory (sociology) Electronic engineering Modulation (music) Engineering Control (management) Computer hardware Voltage Electrical engineering Artificial intelligence

Subject Areas

Sensorless Control of Electric Motors ·Electrical and Electronic Engineering ·Physical Sciences
Electric Power Systems and Control ·Electrical and Electronic Engineering ·Physical Sciences
Multilevel Inverters and Converters ·Electrical and Electronic Engineering ·Physical Sciences

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