Development and modeling of a robotic microclimate control system for biotechnological applications
U.R. Takhaev, M.R. Isaeva, A.A-V. Sadulaev, A.I. Nasukhanov
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Abstract: The relevance of this study is related to the development of agricultural robotics and autonomous systems for biotechnology, where precise control of environmental parameters is critical. Creating an optimal climate is essential for the efficient operation of a greenhouse complex during the winter and the production of a good harvest, even under ideal sealed conditions.
Aim. The study is to develop an autonomous robotic microclimate control system with stage-by-stage adaptive control, diagnostics, and remote interaction functions based on an affordable microcontroller platform.
The research methods include hardware testing on a physical prototype (ESP8266 controller, SCD40 sensor, actuators), software data monitoring via a REST API at 6-second intervals, and a test protocol for the humidity, CO₂ (relay control), and temperature (PID controller) circuits. Data processing was performed in JavaScript with the ability to visualize in MATLAB, Python, or Excel.
Results. An autonomous microclimate control system based on the ESP8266 microcontroller, implementing stage-by-stage adaptive control and remote monitoring, have been developed and tested. The effectiveness of the key algorithms have been experimentally confirmed: relay control ensures reliable reduction of excess humidity and CO₂ concentration, while the implementation of a PID controller enables smooth and precise temperature control without overshoot. The obtained data identified areas for optimization, such as taking into account thermal inertia to improve the algorithms and refining the design to increase energy efficiency, confirming the practical value of the system as a ready-made, cost-effective, and scalable solution for precision agriculture and biotechnology.
Keywords: robotic complex, microclimate control, biotechnology, autonomous system, ESP8266, precision agriculture, and intelligent control
For citation. Takhaev U.R., Isaeva M.R., Sadulaev A.A-V., Nasukhanov A.I. Development and modeling of a robotic microclimate control system for biotechnological applications. News of the Kabardino-Balkarian Scientific Center of RAS. 2026. Vol. 28. No. 1. Pp. 57–74. DOI: 10.35330/1991-6639-2026-28-1-57-74
© Takhaev U.R., Isaeva M.R., Sadulaev A.A-V., Nasukhanov A.I., 2026

Content is available under license Creative Commons Attribution 4.0 License
References
- Anuchin A.S. Sistemy upravleniya elektroprivodov [Electric Drive Control Systems]. Moscow: Izdatel’skiy dom MEI. 2015. 373 p. (In Russian)
- Åström K.J., Hägglund T. Rasshirennye vozmozhnosti PID-regulirovaniya [Advanced PID Control]. Translated from English; ed. by V.V. Klyonov. Moscow: Binom. Laboratoriya znaniy. 365 p. ISBN: 5-94774-355-6. (In Russian)
- Baybikova T.N., Domoratskiy E.P. Simulation modeling system for operations, geometric characteristics, and methods of pulsed optical tomography of nuclear fuel microobjects. Avtomatizatsiya i IT v energetike [Automation and IT in Energy]. 2020. No. 5(244). Pp. 34–41. DOI: 10.25728/datsys.2020.5.4. EDN: QZWQIW. (In Russian)
- Barausov K.V., Vinnichenko A.V. Comparative analysis of existing equipment maintenance systems. In: Metrologicheskoe obespechenie innovatsionnykh tekhnologiy: sbornik statey VII Mezhdunarodnogo foruma [Metrological Support of Innovative Technologies: Proceedings of the VII International Forum]. Saint Petersburg, 2025. Pp. 387–388. EDN: CUYHQR. (In Russian)
- Besekerskiy V.A., Popov E.P. Teoriya sistem avtomaticheskogo upravleniya [Theory of Automatic Control Systems]. 4th ed., revised and expanded. Saint Petersburg: Professiya. 747 p. (Spetsialist). ISBN: 5-93913-035-6. (In Russian)
- Val’nev V.V., Koteleva N.I. On the automation of industrial equipment maintenance and repair. Sovremennye naukoemkie tekhnologii. Regional’noe prilozhenie [Modern high technologies. regional application]. 2024. No. 5-2. Pp. 276–283. DOI: 10.17513/snt.40040. EDN: JUVMAH. (In Russian)
- Gor’kavyy M.A., Gor’kavyy A.I., Mel’nichenko M.A. Optimization of a robotic technological process based on a neural network simulation model of energy consumption. Izvestiya vysshikh uchebnykh zavedeniy. Elektromekhanika [Proceedings of Higher Educational Institutions. Electromechanics]. 2023. No. 66(2). Pp. 85–95. DOI: 10.17213/0136-3360-2023-2-85-95. EDN: WYKEWQ. (In Russian)
- Dorf R.C., Bishop R.H. Sovremennye sistemy upravleniya [Modern Control Systems]. Translated from English by B.I. Kopylov. Moscow: Laboratoriya Bazovykh Znanii. 2002. 832 p. (In Russian)
- Kokieva G.E., Dabaev A.B. Greenhouse microclimate control automation system. In: Larionovskie chteniya-2021: sbornik nauchno-issledovatel’skikh rabot po itogam nauchnoprakticheskoy konferentsii [Larionov Readings-2021: Collection of Research Papers Based on the Results of the Scientific and Practical Conference]. 2021. Pp. 139–143. EDN: HSCPXI. (In Russian)
- Kokieva G.E., Druzyanova V.P. Research of an automated greenhouse microclimate control system. Dal’nevostochnyy agrarnyy vestnik [Far Eastern Agrarian Bulletin]. 2021. No. 1(57). Pp. 70–78. DOI: 10.24412/1999-6837-2021-1-70-78. EDN: WYISMN. (In Russian)
- Koteleva N.I., Val’nev V.V., Markov V.V. Software service for quality control of welding work performance. Tsvetnye metally [Non-ferrous Metals]. 2025. No. 9. Pp. 68–76. DOI: 10.17580/tsm.2025.09.07. (In Russian)
- Matveev N.N., Semenov V.V. Sistemy avtomaticheskogo upravleniya s releynymi elementami [Automatic Control Systems with Relay Elements]. Moscow: Nauka, 1986. 336 p. (In Russian)
- Mintsaev M.Sh., Yakubov T.V., Barzaeva M.A. Technical and economic justification for the use of geothermal resources for heating greenhouse complexes. Vesti gazovoy nauki [Gas Science News]. 2021. No. 4(49). Pp. 176–183. DOI: 10.52823/2073-5069-2021-4-49-176-183. EDN: HYHDIB. (In Russian)
- Fedorenko V.F., Kharitonov M.P., Smirnov I.G., Aristov E.G. Prospects for the robotization of subsurface irrigation and plant fertilization processes. Agroinzheneriya [Agricultural Engineering]. 2024. No. 26(1). Pp. 11–17. DOI: 10.26897/2687-1492-2024-1-11-17. (In Russian)
- Simulink for Control System Design and Simulation. (2024). MathWorks: Documentation Center. Available at: https://www.mathworks.com/help/simulink/control-system-design-andtuning.html (accessed: 17.03.2025)
Information about the authors
Usam R. Takhaev, Postgraduate Student, Department of Automation of Technological Processes and Production, Grozny State Oil Technical University named after academician M.D. Millionshchikov;
100, Isaev avenue, Grozny, 364051, Russia;
takhaev.usam@bk.ru, ORCID: https://orcid.org/0000-0003-2931-0099, SPIN-code: 4551-8286
Madina R. Isaeva, Candidate of Technical Sciences, Associate Professor, Head of the Department of Automation of Technological Processes and Production, Grozny State Oil Technical University named after academician M.D. Millionshchikov;
100, Isaev avenue, Grozny, 364051, Russia;
atppdissovet@mail.ru, ORCID: https://orcid.org/0009-0008-3068-9482, SPIN-code: 7791-1120
Ayub A.-V. Sadulaev, Assistant Professor, Department of Automation of Technological Processes and Production, Grozny State Oil Technical University named after academician M.D. Millionshchikov;
100, Isaev avenue, Grozny, 364051, Russia;
akhmed.nasukhanov@gmail.com, ORCID: https://orcid.org/0009-0008-7072-1424, SPIN-code: 9593-4929
Ahmed I. Nasuhanov, Senior Laboratory Assistant, Department of Automation of Technological Processes and Production, Grozny State Oil Technical University named after academician M.D. Millionshchikov;
100, Isaev avenue, Grozny, 364051, Russia;
akhmed.nasukhanov@gmail.com, ORCID: https://orcid.org/0009-0000-7723-9464, SPIN-code: 4823-6877
Funding
The study was performed without external funding.











