Microprocessor-based neural network controller of a stepper motor for a manipulator arm

  • Authors:

  • George K. Adam;Georgia Garani;Vilem Srovnal;Jiri Koziorek

  • Affiliations:

  • Department of Informatics and Telecommunications, Technological Educational Institute of Larissa, Larissa, Greece;Department of Informatics and Telecommunications, Technological Educational Institute of Larissa, Larissa, Greece;Department of Measurements and Control, VSB Technological University of Ostrava, Ostrava, Czech Republic;Department of Measurements and Control, VSB Technological University of Ostrava, Ostrava, Czech Republic

  • Venue:
  • NN'08 Proceedings of the 9th WSEAS International Conference on Neural Networks
  • Year:
  • 2008

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Abstract

The development and implementation of an FPGA neural network control system for motion control is a task that requires techniques and methods from several engineering fields. In this paper is presented the design of a microprocessor-based neural control system for the realization of the control of a stepper motor for a manipulator arm. The application circuit developed is a specific design of a low-cost embedded system. Simulation and analysis tests were carried out to verify the design of the prototype circuit board. The preliminary results obtained provide the basis for further future research and refinement of the controller.