Journal of the Korean Society for Precision Engineering (한국정밀공학회지)

Korean Society for Precision Engineering (한국정밀공학회)
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DC Motor Model Parameter Identification and Experimental Adjustment for Motor Controller Design

제어기 설계를 위한 DC 모터의 모델 파라미터 측정 및 실험적 보정

  • Kang, Hyeong Seok (Department of Mechanical and Information Engineering, University of Seoul) ;
  • Shin, Dong Hun (Department of Mechanical and Information Engineering, University of Seoul)
  • 강형석 (서울시립대학교 기계정보공학과) ;
  • 신동헌 (서울시립대학교 기계정보공학과)
  • Received : 2014.08.01
  • Accepted : 2014.11.07
  • Published : 2014.12.01
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Abstract

Generally, motor controller design is based on its motor dynamics. Therefore, it requires precise information of its motor dynamics. However, most of the low cost DC motors, which are widely used in industries and academia, are provided without such precise information. Even if it is given, the information is mostly imprecise. Following circumstances require one to calculate the motor dynamics information for oneself. This paper presents a simple method to readily apprehend the DC motor dynamics. First, how to establish the model of DC motor dynamics along with the model parameter identification is presented. Then, the parameter values are finetuned until the simulation response based on the dynamics model is close to the experimental response of the motor. Finally, the controller is designed with the established dynamics model. The validity of the designed controller is confirmed by the comparison of the experiment and simulation.

Keywords

References

  1. An, C. H., "Trajectory and Force Control of a Direct Drive Arm," Ph.D. Thesis, Electrical Engineering and Computer Science, M.I.T, 1986.
  2. Konno, A., Nagashima, K., Furukawa, R., Nishiwaki, K., Noda, T., et al., "Development of a Humanoid Robot Saika," IEEE International Conference on Intelligent Robots and System, Vol. 2, pp. 805-810, 1997.
  3. Chu, B. S. and Sung, Y. W., "Development of Educational Robot Platform Based on Omnidirectional Mobile Mechanism," J. Korean Soc. Precis. Eng., Vol. 30, No. 11, pp. 1161-1169, 2013. https://doi.org/10.7736/KSPE.2013.30.11.1161
  4. Sul, S. K., "Electric Equipment Autonetics revised edition," Hongrung, pp. 185-254, 2009.
  5. Kim, S. H., "DC, AC, BLDC Motor Control 4th edition," bogdoo, pp. 55-114, 2014.
  6. Das, S., Mondol, N., Rana, M., and Das, P., "Genetic Algorithm Based Optimal PI Controller for Position Controller of Maxon S-DC Motor with dSpace," IEEE International Conference on Informatics & Electronics Vision, pp. 184-189, 2012.
  7. Maqsood, I., Nasir, H. A., and Muhammad, A., "PID Controller Tuning for Network Delayed Motion Control," IEEE International Conference on Communications, Computing and Control Applications, pp. 1-6, 2011.
  8. Kang, H. S. and Shin, D. H., "Development of an Anthropomorphic Robot Hand with Size and Motion Range Identical to a Human Hand," Int. J. Precis. Eng. Manuf., Vol. 14, No. 4, pp. 543-549, 2013. https://doi.org/10.1007/s12541-013-0074-2
  9. Chen, W. H., Chen, C. P., Tsai, J. S., Yang, J., and Lin, P. C., "Design and Implementation of a Ball-Driven Omnidirectional Spherical Robot," Mechanism and Machine Theory, Vol. 68, pp. 35-48, 2013. https://doi.org/10.1016/j.mechmachtheory.2013.04.012
  10. Lee, I. S., "Real-time Motor Control," Hongrung, 2011.

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