International Journal of Fuzzy Logic and Intelligent Systems

Korean Institute of Intelligent Systems (한국지능시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Gain Tuning of a Fuzzy Logic Controller Superior to PD Controllers in Motor Position Control

  • Kim, Young-Real (Department of Electrical and Electronics Engineering, Anyang University)
  • Received : 2014.02.25
  • Accepted : 2014.09.22
  • Published : 2014.09.25
Download PDF
⟨ Previous Next ⟩

Abstract

Although the fuzzy logic controller is superior to the proportional integral derivative (PID) controller in motor control, the gain tuning of the fuzzy logic controller is more complicated than that of the PID controller. Using mathematical analysis of the proportional derivative (PD) and fuzzy logic controller, this study proposed a design method of a fuzzy logic controller that has the same characteristics as the PD controller in the beginning. Then a design method of a fuzzy logic controller was proposed that has superior performance to the PD controller. This fuzzy logic controller was designed by changing the envelope of the input of the of the fuzzy logic controller to nonlinear, because the fuzzy logic controller has more degree of freedom to select the control gain than the PD controller. By designing the fuzzy logic controller using the proposed method, it simplified the design of fuzzy logic controller, and it simplified the comparison of these two controllers.

Keywords

References

  1. B. K. Bose, "Expert system, fuzzy logic, and neural network applications in power electronics and motion control," in Proceedings of the IEEE, vol. 82, no. 8, pp. 1303-1323, Aug. 1994. http://dx.doi.org/10.1109/5.301690
  2. C. Y. Wan, S. C. Kim, and B. K. Bose, "Robust position control of induction motor using fuzzy logic control," in Conference Record of the IEEE Industry Applications Society Annual Meeting, Houston, TX, October 4-9, 1992, pp. 472-481. http://dx.doi.org/10.1109/IAS.1992.244358
  3. B. Heber, L. Xu, and Y. Tang, "Fuzzy logic enhanced speed control of an indirect field-oriented induction machine drive," IEEE Transactions on Power Electronics, vol. 12, no. 5, pp. 772-778, Sep. 1997. http://dx.doi.org/10.1109/63.622994
  4. M. N. Uddin, T. S. Radwan, and M. Azizur Rahman, "Performances of fuzzy-logic-based indirect vector control for induction motor drive," IEEE Transactions on Industry Applications, vol. 38, no. 5, pp. 1219-1225, Sep. 2002. http://dx.doi.org/10.1109/TIA.2002.802990
  5. J. S. Yu, S. H. Kim, B. K. Lee, C. Y. Won, and J. Hur, "Fuzzy-logic-based vector control scheme for permanentmagnet synchronous motors in elevator drive applications," IEEE Transactions on Industrial Electronics, vol. 54, no. 4, pp. 2190-2200, Aug. 2007. http://dx.doi.org/10.1109/TIE.2007.894692
  6. G. C. D. Sousa and B. K. Bose, "A fuzzy set theory based control of a phase-controlled converter DC machine drive," IEEE Transactions on Industry Applications, vol. 30, no. 1, pp. 34-44, Jan. 1994. http://dx.doi.org/10.1109/28.273619
  7. V. Donescu, D. O. Neacsu, G. Griva, and F. Profumo, "A systematic design method for fuzzy logic speed controller for brushless DC motor drives," in Proceedings of the 27th Annual IEEE Power Electronics Specialists Conference, Baveno, Italy, June 23-27, 1996, pp. 689-694. http://dx.doi.org/10.1109/PESC.1996.548656
  8. F. Mrad and G. Deeb, "Experimental comparative analysis of conventional, fuzzy logic, and adaptive fuzzy logic controllers," in Conference Record of the IEEE Industry Applications Conference: Thirty-Fourth IAS Annual Meeting, Phoenix, AZ October 3-7, 1999, pp. 664-673. http://dx.doi.org/10.1109/IAS.1999.800022
  9. Z. Ibrahim and E. Levi, "A comparative analysis of fuzzy logic and PI speed control in high-performance AC drives using experimental approach," IEEE Transactions on Industry Applications, vol. 38, no. 5, pp. 1210-1218, Sep. 2002. http://dx.doi.org/10.1109/TIA.2002.802993
  10. G. F. Franklin, M. L. Workman, and J. D. Powell, Digital Control of Dynamic Systems, 3rd ed., Half Moon Bay, CA: Ellis-Kagle Press, 2006.