Identification of Position and Magnitude of a Linear Electric Current Using Locally Linear Neuro-Fuzzy Model and Based on Data of a Collection of Magnetic Sensors Array

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Electrical and Computer Engineering Department, Qom University of Technology, Qom, Iran

Abstract

The aim of this paper is identification of the position and value of linear electric current by using of magnetic field sensing around it by using of neuro-fuzzy intelligent algorithm. A linear current includes a current-carrying wire or a noncircular linear plasma current. At first, we test several classical methods for identification, but as we will see, all of them are unsuccessful. Then performance of the neural network and neuro-fuzzy algorithm is investigated by the data of an array of magnetic sensors which we assume lie in one and then two rings around electric current. The identification result of magnetic sensors arrays neuro-fuzzy modelling is better than classical and neural network methods. We have done several simulation results in MATLAB to see our assertions.

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