한국해양공학회지 (Journal of Ocean Engineering and Technology)

  • 제22권4호
  • /
  • Pages.14-19
  • /
  • 2008
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  • 1225-0767(pISSN)
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  • 2287-6715(eISSN)
한국해양공학회 (Korean Society of Ocean Engineers)
권호 표지

Application to Speed Control of Brushless DC Motor Using Mixed $H_2/H_{\infty}$ PID Controller with Genetic Algorithm

  • Duy, Vo Hoang (Dept. of Mechanical Eng., College of Eng, Pukyong National University) ;
  • Hung, Nguyen (Dept. of Mechanical Eng., College of Eng, Pukyong National University) ;
  • Jeong, Sang-Kwun (Dept. of Mechanical Eng., College of Eng, Pukyong National University) ;
  • Kim, Hak-Kyeong (Dept. of Mechanical Eng., College of Eng, Pukyong National University) ;
  • Kim, Sang-Bong (Dept. of Mechanical Eng., College of Eng, Pukyong National University)
  • 발행 : 2008.08.28
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초록

This paper proposes a mixed $H_2/H_{\infty}$ optimal PID controller with a genetic algorithm based on the dynamic model of a brushless direct current (BLDC) motor and applies it to speed control. In the dynamic model of the BLDC motor with perturbation, the proposed controller guarantees arobust and optimal tracking performance to the desired speed of the BLDC motor. A genetic algorithm was used to obtain parameters for the PID controller that satisfy the mixed $H_2/H_{\infty}$ constraint. To implement the proposed controller, a control system based on PIC18F4431 was developed. Numerical and experimental results are shown to prove that the performance of the proposed controller was better than that of the optimal PID controller.

키워드

참고문헌

  1. Chen, B.S., Cheng, Y.M. and Lee, C.H. (1995). 'A Genetic Approach to Mixed $H_2/H_{\infty}$ Optimal PID Control', Control System Magazine, IEEE, Vol 15, pp 51-60 https://doi.org/10.1109/37.466262
  2. Hemati, N. (1992). 'The Global and Local Dynamics of Direct-drive Brushless DC Motors', Proc. IEEE Power Electronics Specialists Conference, pp 989-992
  3. Jury, E.I and Dewey, A.G. (1965). 'A General Formulation of the Total Square Integrals for Continuous Systems', IEEE Trans. Autom Control, AC-10, pp 119-120
  4. Lim, C.H., Tan, Y.K., Panda, S.K and Xu, J.X. (2004). 'Position Control of Linear Permanent Magnet BLDC Servo Using Iterative Learning Control', IEEE Powercon, Vol 2, pp 1936-1941
  5. Lin, C.L. and Jan H.Y. (2002). 'Multiobjective PID Control for a Linear Brushless DC Motor: an Evolutionary Approach', IEE Proceeding, Vol 149, pp 397-406
  6. Ong, C.M. (1998). Dynamic Simulation of Electric Machinery, Prentice Hall
  7. Passino, K.M. and Yurkovich, S. (1998). Fuzzy Control, Addition Wesley
  8. Vidyassagar, M. (1985). Control Systems Synthesis: A Factorization Approach, MIT Press, Cambridge, MA
  9. Yu, G.R. and Hwang, R.C. (2004). 'Optimal PID Speed Control of Brushless DC Motors Using LQR Approach', IEEE International Conference on Systems, Man and Cybernetics, pp 473-478