Intelligent control systems of electrical complexes in biotechnological objects

Alla Dudnyk1 dudnikalla [at] mail.ua
Vitaliy Lysenko1
  1. Automatics and Robotic Systems Department, National University of Life and Environmental Sciences of Ukraine, UKRAINE, Kyiv, Geroiv Oborony street 15
Abstract 

The aim of this paper is to substantiate efficiency of creation automation control system in a greenhouse with using solar radiation intensity and temperature predictions by neural networks

Keywords 
control system
biotechnical object
electrical complex
neural network
forecasting
greenhouse
poultry farm
References 

[1] Lysenko V., Golovinskiy B., Reshetiuk V., Shtepa V., Rudenskiy A., Golub B., Shcherbatiuk V. “Technical means of computer-integrated control system of energy resources in poultry farm”. Life and Environmental Sciences, vol. 2. pp. 111-118. 2010.
[2] Lysenko V., Dudnyk A. “Optimal control: status and prospects in the Greenhouse industry”. Scientific Herald of National University of Life and Environmental Sciences of Ukraine, vol. 166, pp. 104 – 113, 2011.
[3] Lysenko V., Golub B., Shcherbatiuk V, “The total energy saving architecture computer integrated automatic control system living conditions of laying hens” Scientific Herald of National University of Life and Environmental Sciences of Ukraine, vol. 139, pp. 27–31, 2009.
[4] Lysenko V., Golovinskiy B., Reshetyuk V., Golub B., Shcherbatyuk V. “Dynamics of quality indexes of laying hens keeping process due to fluctuations of temperature disturbances in an industrial poultry house”. Annals of Warsaw University of Life Sciences, vol. 57, pp. 79-92, 2011.
[5] Lysenko V., Shtepa V., Zayets N., Dudnyk A. “Neural network forecasting of outside temperature time series”, Biological Resources and Nature Management, vol. 3 - 4, pp. 102 – 108, 2011.