A Model reference adaptive speed control of marine diesel engine by fusion of PID controller and fuzzy controller

  • Yoo, Heui-Han (Division of Mechatronics Engineering, Korea Maritime University)
  • Published : 2006.11.30

Abstract

The aim of this paper is to design an adaptive speed control system of a marine diesel engine by fusion of hard computing based proportional integral derivative (PID) control and soft computing based fuzzy control methods. The model of a marine diesel engine is considered as a typical non oscillatory second order system. When its model and the actual marine diesel engine ate not matched, it is hard to control the speed of the marine diesel engine. Therefore, this paper proposes two methods in order to obtain the speed control characteristics of a marine diesel engine. One is an efficient method to determine the PID control parameters of the nominal model of a marine diesel engine. Second is a reference adaptive speed control method that uses a fuzzy controller and derivative operator for tracking the nominal model of the marine diesel engine. It was found that the proposed PID parameters adjustment method is better than the Ziegler & Nichols' method, and that a model reference adaptive control is superior to using only PID controller. The improved control method proposed here, could be applied to other systems when a model of a system does not match the actual system.

Keywords

References

  1. H.H. Yoo and J.S. Ha, 'An adaptive speed control of diesel engine by the estimation of the on line parameters', The Korean Society of Marine Engineers, 20, pp. 342 348, 1996
  2. Toshiyuki Kitamori, 'Design of PID control system', Measurement and Control, 19, pp.382 391, 1980
  3. G.E. Halang and K.F. Gill, 'Design of a model reference adaptive control for an internal combustion engine', Measurement and Control, 6, pp.173-176, 1973
  4. S. M. Shinner, Modern Control System Theory and Application, Addison Wesley, Boston, 1978
  5. W.C. Lam, T. Katagi, and T. Hashimoto, 'Design of an adaptive electronic governor for better control of marine diesel engine', Maritime Technology 21st century, 2, pp. 1 12, 1993
  6. J.G. Ziegler and N.B. Nichols, 'Optimal settings for automatic controllers', Transactions of A.S.M.E., 14, pp. 759 768, 1942
  7. Y.H. Yoo, 'A study on Speed Control of Marine Diesel Engine', Ph.D. Thesis, Korea Maritime University, Busan, Korea, 1990
  8. J.H. Yang, 'A study on marine diesel engine control by application of self tuning control', The Korean Society of Fisheries Technology, 28, pp.262 273, 1992
  9. Hisashi Matsumoto and Shigeyuki Morita, 'Fuzzy diesel governor and its designing expert system', Internal Combustion Engine', 31, pp.53 62, 1992
  10. J.H.Yang and B.Y. Jeoung, 'The Speed control of low speed diesel engine by H8 control method', The Korean Society of Marine Engineers, 17, pp. 409 416, 1993
  11. Seiichi Shin, 'Adaptive control and industrial application', Denki Gakkai Ronbunshi D, 114 D, pp. 939 942, 1994
  12. B.D. Kim, 'AStudy on the Improvement of Speed Control Performance of Diesel Engine', Ph.D. Thesis, Korea Maritime University, Busan, Korea, 1994
  13. M.H. Song, 'A Study on Adaptive Speed Control of the Rotational System by the Nominal Model Tracking System', Ph.D. Thesis, Korea Maritime University, Busan, Korea, 1996
  14. B.G. Hu, George K.I. Mann, and R.G. Gosine, A systematic study of fuzzy PID controllers, IEEE Trans. on fuzzy systems, 9(5), pp.699 712, 2001
  15. W.S. Park, I.H. Ryu and S.S. Lee, A study on the DC motor speed control using neural network PID controller, Journal of the research institute of technology development, Wonkwang University, 23, pp.41-45, 2003
  16. H. Butler, Model Reference Adaptive Control, Upper Saddle River, NJ : Prentice Hall, June 1992
  17. K. M. Passino and S. Yurkovich, Fuzzy Control, Addison Wesley Longman, Menlo Park, CA, 1998
  18. Y. Tsukamoto, 'An approach to fuzzy reasoning method', in M.M. Gupta, R.K. Ragade, R.R. Yager, eds., Advanced in Fuzzy Set Theory and Applications, North Holland, Amsterdam, pp.137 149, 1979
  19. Norcontrol, Digital governor DGS8800 system information, Norway, 1985