Electrotechnical complex control system for the production of entomophages

Authors

  • V. Lysenko National University of Life and Environmental Sciences of Ukraine image/svg+xml
  • I. Chernova ETI "Biotechnica" NAAS , Інженерно-технологічний інститут «Біотехніка» НААН України

DOI:

https://doi.org/10.31548/energiya2018.02.045

Abstract

Today, the biological method of plant protection is one of the priority directions of biologization of agriculture in Ukraine. The production of entomophages, as a biotechnological object, represents a complex dynamic system that needs control. Important production features are significant total energy costs in the insect growing zone to maintain a given air temperature and the uncertainty of the biological object, which manifests itself in its various behaviors by the effect of the combination of factors of influence. At the same time, the quality of entomological products, which is evaluated according to biological indices (fertility of females, percentage of regeneration of the imago, sex index, etc.) is significantly dependent on the  accuracy maintaining temperature in the zone of development of entomocultures.

 Traditional control systems for the production of entomophages under perturbation conditions do not provide high accuracy of maintaining the temperature regime, that, given the complexity of the biological component of the management object and incomplete information about its conditions, generates uncertainty and affects the quality of products.

The article is devoted to the development of an intelligent control system for the electrotechnical complex for the laboratory production of Ephestia kuehniella, insect host of the entomophage Habrobracon hebetor, which is a caterpillar ectoparasitoid in biological protection against pests of tomato, corn, sunflower and other crops.

The object of the study is the process of controlling the air temperature in the box for laboratory cultivation of Ephestia kuehniella. The subject of the study is the relationship between the operation modes of electrotechnical complexes and the accuracy of maintaining the temperature regime in the production of entomophages.

The purpose of the work is development of a control system of electrotechnical  complex capable of ensuring high accuracy of maintaining the temperature regime in the box for laboratory breeding of Ephestia kuehniella in conditions of perturbations and incomplete information about the state of the biological component of the object.

Methods of research - structural synthesis, experimental analysis, neuro-fuzzy inference.

The research methodology includes: formation of a sample for training of the neuro-fuzzy of the regulator based on the results of the operation of the local control system, taking into account perturbations, its loading into the ANFIS - the editor, the task of belonging functions, determining the structure of the hybrid network, training the network, determining the network error from the number of training cycles, testing network, review of automatically generated rules, testing of the hybrid control system, testing of the neuro-fuzzy  regulator, determination of the average error of approximation (conformity of the control action of the neuro-fuzzy regulator the control action of the training sample).

A developed a computer-integrated neuro-fuzzy SCADA-system control the electrotechnical complex for laboratory production of Ephestia kuehniella, a which is capable of significantly improving the accuracy of maintaining the temperature in the box compared with the traditional control system on the basis of a two-position regulator. The neuro-fuzzy regulator is implemented in Simulink MATLAB based on the ANFIS editor and the Fuzzy Logic Toolbox MATLAB. According to the results of experimental research, the operation of the air temperature control system on the basis of a two-position regulator analyzed. The control system of the electrotechnical complex is proposed with the use of intelligent information processing algorithm, in particular, a hybrid neural network of direct propagation of a signal. The hybrid control system was simulated and the neuro-fuzzy regulator was tested.

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Published

2018-07-11

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