Journal of Electrical Engineering and Technology

The Korean Institute of Electrical Engineers (대한전기학회)
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Multi-loop PID Control Method of Brushless DC Motors via Convex Combination Method

  • Received : 2016.01.25
  • Accepted : 2016.03.07
  • Published : 2017.01.02
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Abstract

This paper proposes the explicit tuning rule of multi-loop PID controller for brushless direct current motors to predict the system behaviors in time and frequency domains, using properties of the convex combination method. The convex set of the proposed controllers formulates the envelope to satisfy the performances in time and frequency domains. The final control parameters are determined by solving the convex optimization problem subject to the constraints which are represented as convex set of time domain performances. The effectiveness of the proposed control method is shown in the numerical simulation, in which controller tuning algorithm and dynamics of brushless DC motor are well taken into account.

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References

  1. D. M. Dawson, J. Hu and T. C. Burg, Nonlinear control of electric machinery, Marcel Dekker, Inc., 1998.
  2. S. W. Fardo and R. P. Dale, Electrical power systems technology. The Fairmont Press, Inc., 2009.
  3. A. Tashakori and E. Mehran,. "Fault diagnosis of inwheel bldc motor drive for electric vehicle application." Intelligent Vehicles Symposium (IV), 2013 IEEE, 2013.
  4. W. Min and J. Wei, "Control study of rare earth permanent brushless DC motor in city rail." Computer Science and Automation Engineering (CSAE), 2011.
  5. A. Mashakbeh and A. S. Othman, "Proportional Integral and Derivative Control of Brushless DC Motor." European Journal of Scientific Research, vol. 35, no. 2, pp. 198-203, 2009.
  6. C. L. Lin and H. Y. Jan, "Multi-objective PID control for linear brushless DC motor: an evolutionary approach," IEE Proceedings-Electric Power Applications, vol. 149, no. 6, pp.397-406, 2002.
  7. Shahrokhi, Mohammad, and Alireza Zomorrodi. "Comparison of PID controller tuning methods." Department of Chemical & Petroleum Engineering, Sharif University of Technology, 2013.
  8. C. H. Kim, D. G. Lim and B. S. Suh, "Optimum tuning of PID-PD controller considering robust stability and sensor noise insensitivity," Journal of The Institute of Electronics Engineers of Korea, vol. 44, no. 1, pp. 19-24, 2007.
  9. S. Boyd and C. Barratt, Linear Controller : Limits of Performance. Prentice Hall, Englewood Cliffs, NJ., 1991.
  10. C. H. Kim, J. H. Yang, D. G. Lim, and B. S. Suh, "An Enhanced PID Controller for Speed Control of Brushless DC Motors Based on Convex Set Optimization." IFAC Proceedings Volumes, vol. 43, no.22, pp. 75-80, 2010.
  11. C. H. Kim, "Optimum Tuning Method for PID-PD Controllers", MS Thesis, Hanyang Universiy, 2006.
  12. C. L. Cham, "Brushless DC Motor Electromagnetic Torque Estimation with Single-Phase Current Sensing", Journal of Electrical Engineering & Technology, vol. 9, no. 3, pp. 866-872, 2014. https://doi.org/10.5370/JEET.2014.9.3.866
  13. M. Nasri and H. Nezamabadi-Pour, "A PSO-based optimum design of PID controller for a linear brushless DC motor." World Academy of Science, Engineering and Technology, vol. 26, no. 40, pp. 211-215, 2007.

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