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Compare of Transient Quality in Automatic Control Systems with Classic PID Algorithm and Optimal Regulator

https://doi.org/10.21122/1029-7448-2019-62-2-192-200

Abstract

Currently, about 90–95% of generic controllers use the PID algorithm to generate control actions, while 64% of the PID controllers are used in single-circuit automatic control systems. Most of industries (power industry among them) use hundreds of automatic control systems. The quality of their work is the basis of economic efficiency of technical processes, ensuring safety, reliability, durability and environmental friendliness of both technological equipment and automation equipment. There are different modifications of PID-controller structure implementation. In practice the ideal PID controller with a filter and the classic PID regulator (serial connection of the ideal PI controller and the real PD regulator as the direct action elements) are widely used. The problem of choosing a rational structure and a method of parametric optimization of PID controllers, which provide the best direct indicatives of the quality in the development of the main effects in single-circuit automatic control systems, becomes urgent. However, only for the classical PID controllers, which are widely used at present, there are more than three hundred methods for adjusting the three parameters of the optimal dynamic adjustment, as well as the ballast time constant. This results in arising a problem of substantiation of the best structure and method of parametric optimization of classical PID regulators. As a basic option, one of the simplest and most obvious one, viz. the method of automated adjustment of the controller in the Simulink MatLab environment had been chosen, which was compared with the method of full compensation in general for objects with a transfer function in the form of an inertial link with a conditional delay. Two variants of control action realization on the basis of the structural scheme of the optimal regulator developed by the Belarusian national technical University were also offered. In contrast with the classic PID controller, the optimal controller has one parameter of dynamic adjustment setting. The results of simulation of transients at basic perturbations confirmed that the best direct indicatives of the quality are provided with an optimal regulator, which makes it possible to recommend it for wide implementation instead of the classic PID controllers.

About the Authors

G. T. Kulakov
Belarusian National Technical University
Belarus

Address for correspondence: Kulakov Gennady T. – Belаrusian National Technical University, 65/2 Nezavisimosty Ave., 220013, Minsk, Republic of Belarus. Tel.: +375 17 293-91-45    tes_bntu@tut.by



K. I. Artsiomenka
Belarusian National Technical University
Belarus


References

1. Panferov S. V., Panferov V. I. (2012) About one Automatic Controller Synthesis Problem Solution in Automatic Adaptive Control Heating Systems. Vestnik Yuzhno-Ural'skogo Gosudarstvennogo Universiteta. Seriya “Komp'yuternye Tekhnologii, Upravlenie, Radioelektronika” = Bulletin of the South Ural State University. Series”Computer Technologies, Control, Radio Electronics”, (23), 142–149 (in Russian).

2. Aidan O’Dwyer (2009) Handbook of PI and PID Controller Tuning Rules. 3rd ?d. Dublin, Institute of Technology; Ireland, Imperial College Press. 529. https://doi.org/10.1142/9781848162433.

3. Gorecki H. (1974) Analysis and Synthesis of Control Systems with Time Delays. Moscow, Mashinostroenie Publ. 328 (in Russian).

4. Stefani E. P. (1972) Calculation Basis of Thermal Power Process Control Setting. Moscow, Energiya Publ. 372 (in Russian).

5. Rotach V. Ya. (2008) Automatic Control Theory of Thermal Power Process. Moscow, MEI Publ. 396 (in Russian).

6. Bertocco M., Cappellazzo S., Flammini A., Parvis M. (2002) A Multi-Layer Architecture for Distributed Data Acquisition. IMTC/2002. Proceedings of the 19th IEEE Instrumentation and Measurement Technology Conference (IEEE Cat. No 00CH37276), 1261–1264. https://doi.org/10.1109/imtc.2002.1007138.

7. PID Controller. Mathworks Inc. (2018) Available at: http://www.mathworks.com/help/simulink/slref/pidcontroller.html. (Accessed: 22.10.2018).

8. Kulakov G. T. (1984) Engineering Proximate Methods of Design Calculation for Industrial Regulating Systems. Minsk, Vysheishaya Shkola Publ. 192 (in Russian).

9. Kulakov G. T. (2003) Analysis and Synthesis of Automatic Regulation System. Minsk, Tekhnoprint Publ. 134 (in Russian).

10. Kulakov G. T., Kulakov A. T., Kravchenko V. V., Kuchorenko A. N., Artsiomenka K. I., Kovrigo Yu. M., Golinko I. M., Bagan T. G., Bunke A. S. (2017) Automatic Control Theory for Thermal Power Activities. Minsk, Vysheishaya Shkola Publ. 238 (in Russian).


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For citations:


Kulakov G.T., Artsiomenka K.I. Compare of Transient Quality in Automatic Control Systems with Classic PID Algorithm and Optimal Regulator. ENERGETIKA. Proceedings of CIS higher education institutions and power engineering associations. 2019;62(2):192-200. https://doi.org/10.21122/1029-7448-2019-62-2-192-200

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ISSN 1029-7448 (Print)
ISSN 2414-0341 (Online)