Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

A Control of the High Speed BLDC Motor with Airfoil Bearing

Airfoil Bearing 이 장착된 초고속 BLDC 모터 제어

  • Jeong, Yeon-Keun (Department of Electronics Engineering, Pusan National University) ;
  • Kim, Han-Sol (Department of Electronics Engineering, Pusan National University) ;
  • Baek, Kwang Ryul (Department of Electronics Engineering, Pusan National University)
  • Received : 2016.08.17
  • Accepted : 2016.09.28
  • Published : 2016.11.01
Download PDF
⟨ Previous Next ⟩

Abstract

The BLDC motor is used widely in industry due to its controllability and freedom from maintenance because there is no mechanical brush in the BLDC motor. Furthermore, it is suitable for high-speed applications, such as compressors and air blowers. For instance, for a compressor with a small impeller due to miniaturizing, the BLDC motor has to rotate at a very high speed to maintain the compression ratio of the compressor. Typically, to reach an ultra-high speed, airfoil bearings must be used in place of ball bearings because of their friction. Unfortunately, the characteristics of airfoil bearings change drastically depending on the revolution speed. In this paper, a BLDC motor with airfoil bearings is controlled with a PID controller. To analyze and determine the PID coefficients, the relay-feedback method is used. Additionally, for adaptive control, a fuzzy logic controller is used. Furthermore, the auto-tuning and self-tuning techniques are combined to control the BLDC motor. The proposed method is able to control the airfoil-bearing BLDC motor efficiently.

Keywords

References

  1. J.-S. Kang, B.-J. Lim, B.-J. Cha, and S.-S. Yang, "Technology trends of centrifugal compressor," Industrial and Technological Trends in Aerospace, vol. 2, no. 1, pp. 64-69, 2004.
  2. N. S. Kim and S. Y. Jeong, "Industrial air compressors shipments," KOAMI, K.R., Report, 2013.
  3. P. Imoberdorf, C. Zwyssig, S. D. Round, and J. W. Kolar, "Combined radial-axial magnetic bearing for a 1 kW, 500,000 rpm permanent magnet machine," Applied Power Electronics Conference, pp. 1434-1440, 2007.
  4. G. L. Agrawal, "Foil air/gas bearing technology," American Society of Mechanical Engineers, Publication 97-GT-347, 1997.
  5. Y. J. Ko, Y. J. Kim, and J. S. Kim, "Robust speed control of an autonomous vehicle using disturbance observer," Journal of Institute of Control, Robotics and Systems, vol. 22, no. 5, pp. 339-345, Mar. 2016. https://doi.org/10.5302/J.ICROS.2016.16.0013
  6. J. G. Ziegler and N. B. Nichols, "Optimum settings for automatic controllers," Trans, ASME, vol. 64, pp. 759-768, 1942.
  7. A. Leva, "PID autotuning algorithm based on relay feedback," IEE Proceedings of Control Theory and Applications 1993, vol. 140, no. 5, pp. 328-338, 1993. https://doi.org/10.1049/ip-d.1993.0044
  8. J. Kocijan, "Survey of the methods used in patents on autotuning controllers," Recent patents on Electrical Engineering, vol. 1, no. 3, pp. 201-208, 2008.
  9. Mary Jermila M, Anju Iqubal, Soumya Raj. L, "Pid Auto Tuning Using Relay Feedback," International Journal of Engineering Research & Technology (IJERT), vol. 2, no. 4, Apr. 2013.
  10. L. A. Zadeh, "Outline of a new approach to the analysis of complex systems and decision processes," IEEE Trans. Systems, Man, and Cybernetics, SMC-3, pp. 28-44, 1973. https://doi.org/10.1109/TSMC.1973.5408575
  11. Y. J. Park and S. Jeong, "Neuro-fuzzy control for balancing a two-wheel mobile robot," Journal of Institute of Control, Robotics and Systems, vol. 22, no. 1, pp. 40-45, Jan. 2016. https://doi.org/10.5302/J.ICROS.2016.15.0101
  12. "Design of Lateral Fuzz-PI Controller for Unmanned Quadrotor Robot," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 2, pp. 164-170, Feb. 2013. https://doi.org/10.5302/J.ICROS.2013.19.2.164
  13. LIANFANG TIAN, "Intelligent self-tuning of PID control for the robotic testing system for human musculoskeletal joints test," Annals of Biomedical Engineering, vol. 32, no. 6, pp. 899-909, Jun. 2004. https://doi.org/10.1023/B:ABME.0000030759.80354.e8
  14. J. Zhong, PID Controller Tuning: A Short Tutorial, Mechanical Engineering Purdue University, Spring 2006.
  15. R. P. Copeland and K. S. Rattan, "A fuzzy logic supervisor for PID control of unknown systems," IEEE International Symposium on Intelligent Control, pp. 22-26, Aug. 1994.