Operating Modes Optimization of Control Systems Using Genetic Algorithm
Electric Power Engineering & Control Systems
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First published on this website: 15.09.2019 - 09:31
Abstract
Genetic algorithm, fuzzy logic and the traditional method of determining the optimal PI-controllers’s settings for the purpose of minimization energy consumption in greenhouses are compared.
Keywords
References
[1] А. Dudnyk, V. Lysenko, N. Zaets, D. Komarchuk, T. Lendiel, I. Yakymenko (2018). Intelligent Control System of Biotechnological Objects with Fuzzy Controller and Noise Filtration Unit [International Scientific-Practical Conference Problems of Infocommunications. Science and Technology (PIC S&T)] (pp. 586-590) Ukraine: Kharkiv.
[2] Lysenko, V., Dudnyk, A. (2016) Automation of biotechnological objects [Modern Problems of Radio Engineering, Telecommunications and Computer Science, Proceedings of the 13th International Conference on TCSET 2016] (pp. 44-46) Lviv: Lviv Polytechnic Publishing House.
[3] L.J. Blinco, A.R. Simpson, M.F. Lambert (2014) “Genetic Algorithm Optimization of Operational Costs and Greenhouse Gas Emissions for Water Distribution Systems” [Procedia Engineering, 89] Elsevier Ltd., 509-516.
[4] I. Yakymenko, V. Lysenko (2019). “Application of fuzzy logic algorithm to optimize modes of automated control system” [Global and Regional problems of Informatization in Society and Nature Using '2019]. NULES of Ukraine, Kyiv: 168-169.
[5] A. O’Dwyer, “PI and PID controller tuning rule design for processes with delay, to achieve constant gain and phase margins for all values of delay,” in Proc. Irish Sig. Sys. Conf., Maynooth, Ireland, 2001, pp. 96–100
[6] J. J. Distefano.; Stubberud, A. R.; Williams, I. J. (1995), Feedback systems and control, Schaum's outlines (2nd ed.), McGraw-Hill, p. 78
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Comments
Greenhouses provide a complete process of plant growing - from sowing to receiving vegetable products. Each stage is characterized by certain technological features which consume significant amounts of energy.
The researches have shown that a greenhouse, as structural component of a greenhouse plant, is a non-linear control object with non-stationary dynamic characteristics. In view of the above formalizing the relationship between technological parameters of such an object which based on the using classical approaches [1-2] is a difficult task. That’s why there is a need for using the controllers which settings are adapted for object parameters changing while providing appropriate quality criterion for the functioning of the automation control system.
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