(2003) "A Global ANN Algorithm for Induction Motor Based On Optimal Preview Control Theory". Iranian Journal of Electrical and Computer Engineering, 2 (1). pp. 23-29.

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Abstract

In this paper a global Artificial Neural Network (ANN), algorithm for on-line speed control of a threephase induction motor (IM), is proposed. This algorithm is based on the optimal preview controller. It comprises a novel error system and vector control of the 1M. The IM model includes thee input variables, which are the stator angular frequency and the two components of the stator space voltage vector, and three output variables, which are the rotor angular velocity and the two components of the stator space flux linkage. The objective of the proposed algorithm is to achieve rotor speed control, field orientation control and wnstant flux control. In order to emulate the characteristic of the optimal preview controller within global and accurate performance system, a neural network-based technique for the on-line purpose of speed control of IM, is implemented. This technique is utilized based on optimizing the speed control problem using the optimal preview control law. The numerical solution is used to train a feed Ah” using the radial basis method. Successive trained data is utilized to obtain global stability operation for the IM over the whole control intervals. This data includes, several desired speed trajectories and different load torque operations in addition to the motor parameter variations. Digital computer simulation results have ken carried-out to demonstrate the feasibility, reliability and effectiveness of the proposed global ANN algorithm.

Item Type:	Article
Subjects:	Electrical
Department:	College of Engineering and Physics > Electrical Engineering
Depositing User:	AYHAM ZAZA
Date Deposited:	19 Mar 2008 08:20
Last Modified:	01 Nov 2019 13:24
URI:	http://eprints.kfupm.edu.sa/id/eprint/472