In this thesis study, provide the Permanent-Magnet Tubular Linear Direct Current Motors (PMTLDCM) speed control is aimed with an Artificial Neural Network Control. An electronic control system was created for the PMTLDCMs control. Created this electronic control system was governed by real-time working MATLAB software, through universal serial bus (USB). Control, which was developed as an alternative to conventional methods, was created with artificial neural networks that do not require complex control algorithms them. The developed ANN controller structure was tested primarily on computer, assuming that the training results in improved learning ability of the network was applied to the system. It seemed helping to be successful in the algorithms and circuit setting that is used in both rotor and frequency. This control sistems circuit diagrams, control algorithms, and graphs is presented in the thesis.
Key Words: Linear DC Motor, Artificial Neural Network, Permanent Magnet, Realtime Learning