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DOI: 10.15507/2658-4123.030.202003.340-354
Intelligent Control Systems for Dynamic Mixing Processes in Seed Processing Machines with Highly Elastic Working Bodies
Maya V. Sukhanova
Associate Professor of Chair of Technical Mechanics and Physics, Azov-Black Sea Engineering Institute of Don State Agrarian University (21 Lenin St., Zernograd 347740, Russia), Ph.D. (Engineering), Researcher ID: P-3013-2018, ORCID: https://orcid.org/0000-0003-2747-3863, This email address is being protected from spambots. You need JavaScript enabled to view it.
Andrey V. Sukhanov
Senior Researcher of Rostov-on-Don Branch of Research and Design Institute of Informatization, Automation and Communication in Railway Transport (44/13 Lenin St., Rostov-on-Don 344038, Russia), Associate Professor of Chair of Computer Science and Automated Control Systems, Rostov-on-Don State Transport University (2 Ploshchad Rostovskogo Strelkovogo Polka Narodnogo Opolcheniya, Rostov-on-Don 344038, Russia), Ph.D. (Engineering), Researcher ID: Y-4776-2019, ORCID: https://orcid.org/0000-0001-6161-4709, Scopus ID: 57052339600, This email address is being protected from spambots. You need JavaScript enabled to view it.
Sergey A. Voinash
Researcher of Engineering Department, Novosibirsk State Agrarian University (160 Dobrolyubov St., Novosibirsk 630039, Russia), ORCID: https://orcid.org/0000-0001-5239-9883, This email address is being protected from spambots. You need JavaScript enabled to view it.
Introduction. The development of intelligent control systems by means of various production and technological processes is an urgent problem. Pre-sowing seed treatment is an important agricultural process, without which it is impossible to get a planned harvest of high quality.
Materials and Methods. To create an intelligent system for control of seed mixing processes in seed processing machines before sowing, the technological process of pre-sowing treatment should be considered as a multi-level biotechnical system. There is a relationship between the objects of the biotechnological system in the process of pre-sowing seed treatment that can be represented in the form of a block diagram. A multi-level biotechnological system is considered as a cyber-physical system – a combination of various natural and artificial objects which is a single whole capable of self-preservation and development.
Results. The components of an intelligent system for controlling dynamic mixing processes will be working memory, many fuzzy rules describing the execution of mixing operations, and a strategy for selecting rules depending on the state of the system. In developing the intelligent mixing process control system, a return strategy is implemented. The strategy of dynamic mixing system control is implemented by a direct conclusion.
Discussion and Conclusion. The intelligent biotechnology control system will allow controlling the mixing process in real-time, correcting the kinematic parameters of the mixer and warning timely about the probability of damage for the elastic working element. Preliminary expert assessments and laboratory tests have shown that the use of an intelligent control system for seed treatment processes before sowing will improve the quality of the decisions made, reduce the control time of the mixing process by more than two times compared to existing control methods, reduce the physical load on the operator by 50% and increase the productivity of the mixing process by up to 20%.
Keywords: intelligent control systems, mixing, pre-sowing seed treatment, biotechnological system, highly elastic working elements, dynamic process
Funding: The study was supported by the Russian Foundation for Basic Research, the research projects No. 19-01-00250 and No. 20-07-00100.
For citation: Sukhanova M.V., Sukhanov A.V., Voinash S.A. Intelligent Control Systems for Dynamic Mixing Processes in Seed Processing Machines with Highly Elastic Working Bodies. Inzhenerernyye tekhnologii i sistemy = Engineering Technologies and Systems. 2020; 30(3):340-354. DOI: https://doi.org/10.15507/2658-4123.030.202003.340-354
Contribution of the authors: M. V. Sukhanova – scientific guidance, formulation of the basic concept of the study, preparation of the initial text and conclusions; A. V. Sukhanov – critical review of the research; S. A. Voinash – literary and patent analysis.
All authors have read and approved the final manuscript.
Received 08.12.2019; revised 10.02.2020; published online 30.09.2020
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