Speed Control of an Asynchronous Motor Using PID Neural Network

V. Ayhan MARABA
Department of Information Technology, Haydarpasa Vocational High School
Istanbul, Turkey

A. Emin KUZUNCUOGLU
Department of Electronics and Computer Education, Faculty of Technical Education, Marmara University
Istanbul, Turkey

Abstract: This paper deals with the structure and characteristics of PID Neural Network controller for single input and single output systems. PID Neural Network is a new kind of controller that includes the advantages of artificial neural networks and classic PID controller. Functioning of this controller is based on the update of controller parameters according to the value extracted from system output pursuant to the rules of back propagation algorithm used in artificial neural networks. Parameters obtained from the application of PID Neural Network training algorithm on the speed model of the asynchronous motor exhibiting second order linear behavior was used in the real time speed control of the motor. The real time control results show that reference speed successfully maintained under various load conditions.

Keywords: PID, neural network, PIDNN, control.

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CITE THIS PAPER AS:
V. Ayhan MARABA, A. Emin KUZUCUOGLU, Speed Control of an Asynchronous Motor Using PID Neural Network, Studies in Informatics and Control, ISSN 1220-1766, vol. 20 (3), pp. 199-208, 2011. https://doi.org/10.24846/v20i3y201101