Closed Loop Identification by Optimization Method

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The article is devoted to the adaptation of the controller parameters during its operation as a part of a control loop. The possibility to identify the parameters of the controlled plant model in the closed control loop has been proved by a computer simulation. The described active identification method is based on the response processing of the closed loop control system to standard actions. The developed algorithm has been applied to determine the model parameters of the flaming fluorination reactor used for the production of uranium hexafluoride. Designed identification method improves the quality of the product and the efficiency of the entire production.

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636-641

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January 2015

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© 2015 Trans Tech Publications Ltd. All Rights Reserved

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[1] Sh. Ye Steinberg, Identification in Control Systems, Energoatomizdat, Moscow, (1987).

Google Scholar

[2] Sh. Ye. Steinberg, I.E. Zalutskiy, Adaption of Standard Regulators to Operating Conditions in Industrial Control Systems: submitted to Journal of Industrial ACS and Controllers. 4 (2003) 11-14.

Google Scholar

[3] Sh. Ye. Steinberg, I.E. Zalutskiy, L.P. Seryozhin, I.G. Varlamov, Adjustment and Adaptation of Automatic Regulators. Instrumental Complex of Programs: submitted to Journal of Industrial ACS and Controllers. 10 (2003) 43-47.

Google Scholar

[4] A.M. Shubladze, S.V. Gulyaev, V.A. Malakhov, V.R. Oltvang, N.M. Bobrykov, Adaptive PID - controller: submitted to Journal of Sensors and Systems. 1 (2008) 20-23.

Google Scholar

[5] N.S. Krinitsyn, V.F. Dyadik, S.A. Baydali, Setting Parameters Adaptation of Typical Controllers in the Single-loop Control Systems: submitted to Journal of Instruments and Control Systems. Management, Monitoring, Diagnostics, 10 (2012) 1-7.

Google Scholar

[6] F. Gill, W. Murray, M. Wright, Practical Optimization. Translated from Engish, Mir, Moscow, (1985).

Google Scholar

[7] J. Nocedal, S.J. Wright, Numerical Optimization, ISBN 0387303030, Springer Science + Business Media, New York, (2006).

Google Scholar

[8] K. Madsen, H.B. Nielsen, O. Tingleff. Methods for Non-liner Least Squares Problems, Informatics and Mathematics Modelling Technical University of Denmark, Lyngby, (2004).

Google Scholar

[9] Gorecki H. Analysis and Synthesis of Control Systems with Delay, Mashinostroenie, Moscow, (1974).

Google Scholar