Otkun, Ozcan; Dogan, Ramazan Ozgur; Akpinar, Adem Sefa

Nowadays, Artificial Neural Networks (ANN), in different applications, have been used in solving many problems of non-linear. In this study, ANN based Scalar (V / f) speed control of Linear Permanent Magnet Synchronous Motor (LPMSM) was carried out experimentally. For scalar control, variable frequency drive that is product of model LG-SV022IG5A-4 are used. This drive is controlled by the frequency of the C # programming language prepared by the ANN and the motor speed control was performed. Obtained experimental results by running LPMSM at different speed and load conditions were presented and analysis of success in motor speed control was performed.

Otkun, Ozcan; Akpinar, Adem Sefa

In this study, the test results were compared with the parameters specified and determination of parameters of the design Double-Side Linear Permanent Magnet Synchronous Motor. Firstly given the design details of the motor and then transferred to the methods used to obtain the parameters of the motor. Three different methods were used in finding the parameters. The first of these methods, the classical method, the experimental method. The second is a digital LCR meter sensitive results obtained. The third one the motor drive LG-SV022IG5A-4 results obtained from the product code. With these results, the motor was tested with the help of computer software is prepared. From the results of the test current, frequency, and the results were evaluated given pushing force and speed graphics.