Збірники наукових праць ЦНТУ
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Item Моделювання нейро-мережевого керування температурно-вологісним режимом у теплиці(КНТУ, 2016) Мірошніченко, М. С.; Зубенко, В. О.; Прокопенко, Т. О.; Miroshnichenko, Maria; Zubenko, Valentina; Prokopenko, TetyanaНа основі нейронних мереж та з використанням експериментальних даних створено модель зміни температурно-вологісного режиму у теплиці в залежності від потужностей обігрівачів ґрунту та повітря, що дозволило забезпечити формування енергоефективних навчальних вибірок в адаптивній системі керування мікрокліматом. The purpose of this article is to study the temperature and humidity in the greenhouse mode: assessment of the importance of the impact of input parameters for the weekend using a neural network model developed model test and confirm its suitability for use in simulation and in the practical implementation. Based on neural networks (type - radial basis functions) and the experimental data using a model change in temperature and humidity regime in a greenhouse to obtain reaction facility management on control actions. Check the adequacy of this model proved its suitability for use in simulation. The use of this neural network is practically possible to ensure the formation of energy efficiency training samples for later use in adaptive (intelligent) system controls temperature and humidity conditions in the greenhouse. The results of simulation modeling intellectual functioning control system of temperature and humidity conditions in the greenhouse revealed that its qualitative characteristics of the following (for both control outputs): overshoot: the upper front - 0%, the lower front - 2.5 - 3.75%; the maximum dynamic deflection: the upper front - 0 Bottom front - 0.02 - 0.03; napivkolyvan number: the upper front - 0 Bottom front - one that meets the technical requirements.Item Адаптивна автоматизована система збору та контролю основних параметрів мікроклімату в теплиці(КНТУ, 2016) Віхрова, Л. Г.; Каліч, В. М.; Прокопенко, Т. А.; Vіhrova, Larisa; Kalich, Viktor; Prokopenko, TetyanaУ статті запропонований програмно-технічний комплекс автоматизованого збору та контролю основних параметрів мікроклімату в теплиці призначений для контролю мікроклімату в середині теплиці; відстеження зовнішніх метеоумов; аналізу одержуваних даних, як бази знань адаптивної системи керування. The purpose of this article is to improve the reliability and efficiency of the equipment of greenhouses, timely receipt of information technology, reducing power consumption and increasing the protection of plants against adverse factors through the creation of automated data collection and monitoring of basic parameters of microclimate in greenhouses, as the knowledge base of the adaptive control system. It was established that the architecture of the adaptive control system of temperature and humidity conditions in the greenhouse arch type, constructed using fuzzy approach should include block neural adaptation, at the entrance of which are agronomic requirements of growing production, and the knowledge base of the process that is constantly updated according to controlled disturbance. As a result, for climate control in the middle of a greenhouse; tracking external weather conditions; Analysis of the data was proposed program-technical complex automated data collection and monitoring of basic parameters of microclimate in greenhouses, as the knowledge base of the adaptive control system. The software and hardware automated data collection and monitoring of basic parameters of microclimate of greenhouse vegetables in a real time will create renewed energy efficient modes of operation knowledge base greenhouses for adaptive management system that will improve the efficiency of growing vegetables.