Input-output pairing criterion applied in the genetic algorithm for unstable linear systems

• Autorzy: Baban P. Q. , Rahimabadi I. N.

Identyfikatory

DOI

10.1515/bpasts-2016-0095

• Języki publikacji: EN

Abstrakty

EN

In this paper, a new approach towards input-output pairing for an unstable system has been proposed. First, it is demonstrated that the previous method of input-output pairing for unstable plants cannot find appropriate pairs as it only checks necessary conditions for stability and integrity. Then, a new approach using relative error matrix and genetic algorithm for finding appropriate pairs in unstable systems is proposed. As it is shown, this approach takes into consideration both static and dynamic information of plant in measuring interaction. Finally, the accuracy of proposed method is demonstrated by an example and closed loop simulation.

Słowa kluczowe

EN

decentralized control; input-output pairing; unstable plant; relative error matrix; genetic algorithm

PL

sterowanie zdecentralizowane; parowanie wejścia-wyjścia; niestabilność roślin; błąd względny macierzy; algorytm genetyczny

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2016
• Tom: Vol. 64, nr 4
• Strony: 873--876
• Opis fizyczny: Bibliogr. 9 poz., wykr., tab.

Twórcy

autor

Baban P. Q.

• Islamic Azad University of Qazvin, Qazvin, Barajin, Barajin Rd, Iran (Islamic Republic of)

autor

Rahimabadi I. N.

• Islamic Azad University of Qazvin, Qazvin, Barajin, Barajin Rd, Iran (Islamic Republic of)

Bibliografia

• [1] E.H. Bristol, “On a new measure of interaction for multivariable process control”, IEEE Transactions on Automatic Control 11, 133–134 (1966).
• [2] M. F. Witcher and T. J. McAvoy, “Interacting control systems: steady-state and dynamic measurement of interaction”, ISA Transactions l6, 35–41 (1977).
• [3] Q. Xiong, W. J. Cai and M. J. He, “A practical loop pairing criterion for multivariable processes”, Journal of Process Control 15, 741‒747 (2005).
• [4] A. Khaki-Sedigh and A. Shahmansourian, “Input-output pairing using balanced realization” Electron. Lett. 32, 2027‒2028 (1996).
• [5] B. Wittenmark and M. E. Salgado, “Hankel-norm based interaction measure for input-output pairing”, Proc. of the 2002 IFAC World Congress, Barcelona (2002).
• [6] M. Hovd and S. Skogestad, “Pairing criteria for decentralized control of unstable systems”, Journal of Ind. Eng. Chem. Res. 9, 2134‒2139 (1994).
• [7] L. Davis, Handbook of Genetic Algorithms, Van Nostrand Reinhold, New York, 1991.
• [8] D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Longman Publishing, Boston, 1989.
• [9] J. Lee and T.F. Edgar, “Dynamic interaction measures for decentralized control of multivariable processes”, Ind. Eng. Chem. Res. 43, 283‒287 (2004).

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.