Artificial Neural Network Based Real Time Speed Control of a Linear Tubular Permanent Magnet Direct Current Motor


International Conference on Control, Automation and Diagnosis (ICCAD), Hammamet, Tunisia, 19 - 21 January 2017, pp.540-544 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/cadiag.2017.8075716
  • City: Hammamet
  • Country: Tunisia
  • Page Numbers: pp.540-544
  • Gazi University Affiliated: Yes


This paper presents a real-time speed control for a linear tubular permanent magnet direct current motor (LTPMDCM) by using artificial neural network (ANN). Firstly, a novel form of LTPMDCM prototype has been developed for linear motions. Then, a low cost motor drive has designed for expected rapid response and precise position control. Software developed in MATLAB environment is used for speed control. Through this software, real-time speed control of the motor with ANN has been performed. The effectiveness of the proposed control system is verified by experimental results and presented.