Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey

Research Article

Position Control of the Surface Motor Based on Artificial Neural Network

Download262 downloads
Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.7-9-2021.2314778,
    author={Abdulhasan F. Abdulhasan and Rabee H. Thejel and Diyah K. Shary},
    title={Position Control of the Surface Motor Based on Artificial Neural Network},
    proceedings={Proceedings of 2nd International Multi-Disciplinary Conference Theme: Integrated Sciences and Technologies, IMDC-IST 2021, 7-9 September 2021, Sakarya, Turkey},
    publisher={EAI},
    proceedings_a={IMDC-IST},
    year={2022},
    month={1},
    keywords={switched reluctance planar motor neural network controller pid controller position control of the planar motor},
    doi={10.4108/eai.7-9-2021.2314778}
}
  • Abdulhasan F. Abdulhasan
    Rabee H. Thejel
    Diyah K. Shary
    Year: 2022
    Position Control of the Surface Motor Based on Artificial Neural Network
    IMDC-IST
    EAI
    DOI: 10.4108/eai.7-9-2021.2314778
Abdulhasan F. Abdulhasan1,*, Rabee H. Thejel1, Diyah K. Shary1
  • 1: Department of Electrical Power Techniques Engineering, Southern Technical University, Iraq
*Contact email: abd.allami@stu.edu.iq

Abstract

The step movement of the switched reluctance planar motor (SRPM) has high oscillation, due to the nonlinear magnetic circuit behaviour and high force ripples. Therefore, traditional linear controllers are insufficient in SRPM control, thus a closed-loop motor position control system based on Neural-PID controller is designed to obtain the optimum characteristics of operation for these motors.

Keywords
switched reluctance planar motor neural network controller pid controller position control of the planar motor
Published
2022-01-26
Publisher
EAI
http://dx.doi.org/10.4108/eai.7-9-2021.2314778
Copyright © 2021–2024 EAI