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SEARCH-FREE ALGORITHM FOR PARAMETRIC OPTIMIZATION OF PI CONTROLLER WITH SEMI-PERMANENT INTEGRATION

https://doi.org/10.21285/1814-3520-2018-6-98-108

Abstract

PURPOSE. It is a well known fact that proportional integral (PI) and proportional integral derivative (PID) controllers when applied in automatic systems with a large delay (when the delay value exceeds the highest values of controlled object time constants) do not provide acceptable quality of transients. This makes us address to some classes of regulators compensating the negative impacts of delay. This article deals with the known for its advantages PID controller with semi-permanent integration that belongs to the class of regulators with a variable structure that do not use a sliding mode. On the basis of the minimum integral-square criterion this work forms the algorithm of an automatic parametric optimization (APO) that calculates the optimal adjustment vector of the PI-controller with semi-permanent integration in an automatic system for the object with a large delay when adjustable parameters of the controller are independent from the moment of switching. METHODS. Due to the fact that the controller applied belongs to the class of regulators with a variable structure and the study is devoted to an object with delay, the use of analytical approaches to the adjustment of such regulator is extremely difficult. Therefore, an algorithmic method should be used to solve the problem of controller parametric optimization. This study also employs a gradient procedure which enables to calculate gradient components using the functions of sensitivity with their known advantages. RESULTS AND THEIR DISCUSSION. The formed APO algorithm has determined the optimal parameters of the PI controller with semi-permanent integration for a given object with a large delay at the minimal integral-quadratic criterion. The validity of the found vector of controller adjustment generated by the APO algorithm is confirmed by the calculation of Hessian matrix and proven by the computing methodology. CONCLUSIONS. The APO algorithm solves the set problem of parametric optimization with the accuracy sufficient for practice. Received positive experience in the optimization of PI-controller with semi-permanent integration allows to apply it to other regulators with variable structure that do not use the sliding mode. In future it will allow to extend the use of the gradient algorithm based on the sensitivity functions for this class of controllers with variable structure under different laws of controller structure switching.

About the Authors

V. V. Kulikov
Irkutsk National Research Technical University
Russian Federation


N. N. Kutsyi
Irkutsk National Research Technical University
Russian Federation


References

1. Ramírez A., Mondié S., Garrido R., Proportional integral retarded control of second order linear systems, 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). 2239-2244.

2. Ramírez A., Garrido R., Mondié S. Integral Retarded Control Velocity Control of DC Servomotors, in IFAC TDS Workshop (Grenoble, France. 2013). Grenoble, 2013. Р. 558-563.

3. Villafuerte R., Mondié S., Garrido R. Tuning of Proportional Retarded Controllers: Theory and experiments, IEEE Transactions on Control Systems Technology. 2013. Vol. 21 (3). Р. 983-990,

4. Larsson P. and Hagglund T. Comparison between robust PID and predictive PI controllers with constrained control signal noise sensitivity, 2nd IFAC Control Conference on Advances on PID Control. (Brescia, Italy, 28 March 2012). Brescia, 2012. P. 175-180.

5. Airikka P. Another novel modification of predictive PI controller for processes with long dead time", IFAC Conference on Advances in PID Control. (Brescia, Italy, 28-30 March 2012). Brescia, 2012.

6. Airikka P. Stability analysis of a predictive PI controller, 21st Mediterranean Conference on Control and Automation. (Crete, Greece, 25-28 June 2013). Crete, 2013. P. 1380-1385.

7. Shinder D., Hamde S. and L. Wagmare nonlinear predictive proportional integral controller for multiple time-constants, international journal of innovative research in advanced technology. 2014. Vol.1. Issue. 7. P. 53-58.

8. Airika P. Controller, reliable predictive PI tuning, the 19th world Congress IFAC, (Cape town, South Africa, 24-29 August 2014). Cape town, 2014. P. 9301-9306.

9. Prakash G. and Alamelumanga V. development of predictive Pi controller for fractional order of the quadruple tank process, WSEAS transactions on systems and control. 2015. Vol. 10. P. 85-94.

10. Куцый Н.Н., Маланова Т.В. Оптимизация автоматических систем с широтно-импульсной модуляцией при параметрическом несоответствии // Математическое моделирование и информационные технологии: материалы IX школы-семинара молодых ученых (г. Иркутск, 2007 г.). Иркутск, 2007. С. 97-101.

11. Костюк В.И., Широков Л.А. Автоматическая параметрическая оптимизация систем регулирования. М.: Энергоиздат, 1981. 96 с.

12. Городецкий В.И., Захарин Ф.М., Розенвассер Е.Н., Юсупов Р.М. Методы теории чувствительности в автоматическом управлении. Л.: Энергия, 1971. 345 с.

13. Тихонов О.Н. Автоматизация производственных процессов на обогатительных фабриках. М.: Недра, 1985. 272 с.

14. Куцый Н.Н., Осипова О.Н. Параметрическая оптимизация систем с интегральной широтно-импульсной модуляцией с использованием беспоискового градиентного алгоритма // Приборы и системы. Управление, контроль, диагностика. 2012. № 1. С. 2-6.


Review

For citations:


Kulikov V.V., Kutsyi N.N. SEARCH-FREE ALGORITHM FOR PARAMETRIC OPTIMIZATION OF PI CONTROLLER WITH SEMI-PERMANENT INTEGRATION. Proceedings of Irkutsk State Technical University. 2018;22(6):98-108. (In Russ.) https://doi.org/10.21285/1814-3520-2018-6-98-108

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ISSN 2782-4004 (Print)
ISSN 2782-6341 (Online)