PDFAbstract: Centralized digital systems for control production processes use digital transfer channels for information management over Internet technology. These channels introduce additional problems in ensuring the sustainability of control systems with feedback. In the article is proposed to use Smith's predictor to compensate for temporary transport delays in the control of production processes. The authors give a mathematical model of the optimal structure of the digital control system and the principles of its design.
Keywords: mathematical modeling, stabilization of systems by feedback, synthesis problems, feedback control, discrete-time systems, digital systems, optimal stochastic control REFERENCES [1] Denisenko V.V. PID - regulators: principles of construction and modification - Modern automation technologies. 2006. № 4. p. 66 - 74; 2007. № 1. p. 78 - 88. [2] Gureckij H. Analysis and synthesis of control systems with delay. – Mechanical engineering, 1974. – 328. [3] 3. Leva A., Cox C., Ruano A. Hands-on PID auto tuning: a guide to better utilization. – IFAC Professional Brief, http://www.ifac-control.org. [4] Bandley B. Optimization methods. Introductory course: Transl. from English. – Radio and communication, 1988 – p128. [5] Velagic. J. Design of Smith like Predictive Controller with Communication with Communication Delay Adaptation. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering. Vol 2, Number 11, 2008, pp. 2447-2481. [6] Q. Li, D. J. Rankin, and J. Jiang, Evaluation of delays induced by Foundation Fieldbus H1 networks, IEEE Trans. Instrum. Meas., vol. 58, no. 10, pp. 3684–3692, Oct. 2009. [7] Mohammad Arif Hossain. A dual-rate model predictive controller for fieldbus based distributed control systems Monograph - The School of Graduate and Postdoctoral Studies The University of Western Ontario London, Ontario, Canada p.52
Cite this paper
Gennadii Samsonov, German Michalconok. (2017) Optimization of Filtering Properties of the Control System with the Smith Predictor. International Journal of Control Systems and Robotics, 2 , 149-154
Copyright © 2017 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution License 4.0