Browse > Article

Optimal design of PID controllers including Smith predictor structure by the model identification  

Cho, Joon-Ho (Department of Control and Instrumentation Engineering, Wonkwang University)
Hwang, Hyung-Soo (School of Electrical, Electronics and Information Engineering, Wonkwang University)
Publication Information
Journal of the Institute of Electronics Engineers of Korea SC / v.44, no.1, 2007 , pp. 25-32 More about this Journal
Abstract
In this paper, a new method for first order plus dead time(FOPDT) model identification is proposed, which can identity multiple points on a process step response in terms of classification of time response. The process input and output to the test are decomposed into the transient part and the steady-state part. The steady-state part express one FOPDT model and the transient part express variously FOPDT model using least square estimation method. The optimum parameter tuning algorithm for PID controller of the Smith Predictor is proposed through ITAE as performance index. The Simulation results show the validity and improvement of performance for various processes.
Keywords
Identification; Smith-predictor; LSE; PID controller;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Jayender .J, Patel R.V, Nikumb .S, Ostojic M.,'Modelling and gain scheduled control of shape memory alloy actuators' Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on 28-31 Aug. 2005 Page(s):767-772   DOI
2 Pereira. D.S, Pinto. J.O.P.,'Genetic algorithm based system identification and PID tuning for optimum adaptive control' Advanced Intelligent Mechatronics. Proceedings, 2005 IEEE/ASME International Conference on   DOI
3 Qing-Guo Wang, Chang-Chieh Hang, and Qiang Bi, 'A Technique for Frequency Response Identification from Relay Feedback', IEEE Trans. Contro. Syst. Technol.,vol.7,no1,January 1999, pp.122-128   DOI   ScienceOn
4 Y.Shamash, 'Model reduction using the Routh stability criterion and the Pade approximation technique', Int. J. Control, vol. 21, No. 3, pp. 475-484, 1975   DOI   ScienceOn
5 David E. Goldberg, 'Genetic Algorithms in Search, Optimization, and Machine Learning', AAddison - Wesley Publishing Company, Inc, 1989
6 K.Y.Kong, S.C.Goh, C.Y.Ng, H.K.Loo, K.L.Ng, W.L. Cheong, and S.E.Ng, 'Feasibility report on frequency domain adaptive controller', Dept. Elect. Eng., Nat. Univ. Singapore, Internal Rep., 1995
7 Q.G.Wang, T.H.Lee, H.W.Fung, Q.Bi and Y. Zhang, 'PID tuning for improved performance', IEEE Trans. Contro. Syst. Technol., vol. 7, no.4, pp. 457-465, July 1999   DOI   ScienceOn
8 M.Zhuang and D.P.Atherton, 'Automatic tuning of optimum PID controllers', Proc. Inst. Elect. Eng., vol. 140, pt. D, no. 3, pp. 216-224, May 1993
9 K.J.Astrom, 'Automatic tuning of PID regulators', Instrument Soc. Amer., 1998
10 W.K.Ho, C.C.Hang, W.Wojsznis, and Q.H.Tao, 'Frequency domain approach to self-tuning PID control', Contr.Eng. Practice, vol, 4, no.6, pp.807-813, 1996   DOI   ScienceOn
11 W. K. Ho, O. P. Gan, E. B. Tay, and E. L. Ang, 'Performance and gain and phase margins of well-known PID tuning formulas', IEEE Trans. Contr. Syst. Technol., vol. 4, pp. 473-477, 1996   DOI   ScienceOn
12 K.J.Astrom and T.Hagglund, 'Automatic tuning of simple regulators with specifications on phase and amplitude margins', Automatica, vol. 20, no. 5, pp. 645-651,1984   DOI   ScienceOn