Научная электронная библиотека ULRICH'S Periodicals Directory

Сибирский государственный университет
науки и технологий имени академика М.Ф. Решетнева

Сибирский аэрокосмический журнал
ISSN 2712-8970 (Print) ISSN 2782-5760 (on-line)

Сведения об образовательной организации

UDK 681.5.073 Doi: 10.31772/2712-8970-2021-22-1-47-60
Simulation of solar panel orientation system based on fuzzy logic in SimInTech visual simulation environment
Chubar A. V., Ustimenko V. V., Mikhaylenko L. A., Myznikova V. A., Matskevich Y. A.
Siberian Federal University; 79, Svobodny Av., Krasnoyarsk, 660041, Russian Federation
Obtaining electricity from renewable energy sources is primarily due to the exhaustion of traditional natural energy sources, such as coal, oil, gas. Today it is a promising area of development. The adverse impact on the environment of the use of traditional energy technologies is well known and scientifically proven. The use of traditional technologies inevitably leads to climate change, so the topic of the transition from traditional to alternative energy sources is undoubtedly relevant. Using of solar power plants with photovoltaic modules recently has gained relevance. However, the efficiency of such installations depends largely on their correct orientation to the Sun: the more precisely the system is installed, the more energy it will be able to convert. This article presents the results of the development of a simulation model of the solar panel orientation control system. To maximize the production of solar energy, the control system with tracking the Sun is built using fuzzy logic: fuzzy rules are formulated to control the positions of the object relative to the vertical and horizontal planes. The use of fuzzy logic is based on the product model of knowledge, which implies the use of linguistic variables to avoid the limitations inherent in classical product rules. The use of fuzzy control allows to correct the movement of the panel in the shortest time in the autonomous mode, thus reducing the arising power losses. Russian SimInTech dynamic simulation environment for technical systems is used as the system development environment. Simulation model is represented by several subprojects, united in a single database. The system model is implemented using standard blocks and a set of submodels, as well as a programming unit. The result of the work can be tracked in the 3D module of the built-in visual editor, which allows you to display the interaction of three-dimensional models objectively. In order to simplify and more finely implement the work of the project, a system of loading data, sunrise and sunset points, from an external Excel file was used.
Keywords: solar panel, fuzzy logic, dynamic simulation, SimInTech, 3D visualization.
References

1.  Nefedova L.V. [Experience and prospects of renewable energy in Africa for sustainable development and reduce greenhouse gas emissions]. Vozobnovlyaemaya energetika XXI vek: energeticheskaya i ekonomicheskaya effektivnost': materialy Mezhdunarodnogo Kongressa [Proceedings of the International Renewable Energy Congress – XXI: Energy & Economic Efficiency]. 2016, P. 27–32. (In Russ.)

2.  Tabakov E. V., Zinina A. I., Kosinsky M. Y. Practical application of the fuzzy logic apparatus in solving the problem of orientation of solar batteries. 44th Academic Space Conference: Dedicated to the Memory of Academician S.P. Korolev and Other Outstanding Russian Scientists – Pioneers of Space Exploration (28–31.01.2020); Bauman Moscow State Technical University Moscow, 2020, Vol. 2318.

3.  Nzoundja Fapi C. B., Wira P., Kamtal M., Colicchio B. Voltage Regulation Control with Adaptive Fuzzy Logic for a Stand-Alone Photovoltaic System. European Journal of Electrical Engineering. 2020, Vol. 22, No. 2, P. 145–152.

4.  Spravochnaya sistema SimInTech [SimInTech help system]. Available at: http://help. simintech.ru/ (accessed: 28.02.2021). (In Russ.)

5.  Zadeh L. Fuzzy sets. Information and control. The journal of symbolling logic. 1965, Vol. 8,
P. 338–353.

6.  Kartashov B. A., Shabaev E. A., Kozlov O. S. et al. Sreda dinamicheskogo modelirovaniya tekhnicheskikh sistem SimInTech: Praktikum po modelirovaniyu sistem avtomaticheskogo regulirovaniya [he environment of dynamic simulation of technical systems SimInTech: Workshop on modeling systems of automatic regulation]. Moscow, DMK Press Publ., 2017, P. 241–243.

7.  Khabarov S., Shilkina M. Osnovy modelirovaniya tekhnicheskikh sistem. Sreda SimInTech [Basics of modeling technical systems. SimInTech Environment]. Moscow, Lan Publ., 2019, 120 p.

8.  Monakhov O. Pakety prikladnykh programm MVTU, MATLAB, SIMINTECH i ikh primenenie v uchebnom protsesse na spetsial'nosti “Upravlenie v tekhnicheskikh sistemakh” [Application packages of MSTU, MATLAB, SIMINTECH and their application in the educational process on the specialty “Management in technical systems”]. Moscow, Rossiiskii universitet transporta Publ., 2019, 92 p.

9.  Entsiklopediya ASUTP [Encyclopedia APCS]. Available at: https://www.bookasutp.ru/ Chapter5_7.aspx (accessed: 28.02.2021). (In Russ.)

10.  Cabeza-Gras O., Jaramillo-García V. Design of a photovoltaic solar plant: Distributed generation in medium tension to a bar of the electricity substation. Renewable Energy and Power Quality Journal. 2020, No. 18, P. 664–668.

11.  Ustimenko V. V., Chubar A. V., Myznikova V. A. [Fuzzy Controllers Construction in the SimInTech Environment]. Kosmicheskie apparaty i tekhnologii. 2019, No. 1(27), P. 22–27. (In Russ.)

12.  Ustimenko V. V., Chubar A.V., Myznikova V.A. [Using of fuzzy controllers in dynamic systems]. Aktualnye problemy aviatsii i kosmonavtiki: materialy V Mezhdunarodnoi nauchno-prakticheskoi konferentsii, posvyashchennoi Dnyu kosmonavtiki [Actual problems of aviation and cosmonautics: materials of the V International scientific-practical conference dedicated to the Day of Cosmonautics]. 2019, Vol. 1, P. 593–594. (In Russ.)

13.  Ustimenko V. V., Chubar A. V., Rusin D. S. [Application of the genetic algorithm to optimization of a system of controlling of an autonomous object parameters with using an environment of dynamic modelling SimInTech]. Robototekhnika i iskusstvennyi intellekt: materialy
XI Vserossiiskoi nauchno-tekhnicheskoi konferentsii s mezhdunarodnym uchastiem [Proceedings of the X Vseross. scientific and technical conference with int. participation “Robotics and artificial intelligence”]. Krasnoyarsk, 2019, P. 261–266. (In Russ.)

14.  Ustimenko V. V., Chubar A. V. [Construction a fuzzy supervisor in the SimInTech environment for dynamic simulation of technical systems]. Prospekt Svobodny – 2020: materialy XVI mezhdunarodnoj konferencii studentov, aspirantov i molodyh uchennyh [Proceedings of the XVI International conference of students, graduate students and young scientists dedicated to the Year of Memory and Glory “Prospect Svobodny – 2020”]. Krasnoyarsk, 2020, P. 1849–1852. (In Russ.)

15.  Mikhaylenko L. A. Ustimenko V. V., Chubar A. V. [Construction of the control system of the solar panel orientation process in the SimInTech environment of dynamic simulation of technical systems]. Kosmicheskie apparaty i tekhnologii. 2020, Vol. 4, No. 3(33), P. 178–185. (In Russ.)

16.  Ustimenko V. V., Rusin D. S., Mikhaylenko L. A., Chubar A. V. [Parametric synthesis of
a controller by a metaheuristic algorithm in the SimInTech environment] Kosmicheskie apparaty i tekhnologii. 2020, Vol. 4, No. 3(33), P. 178–185. (In Russ.).

17. Ustimenko V. V., Chubar A. V., Mikhaylenko L. A. Automated setting of regulators for automated process control systems in the SIMINTECH visual modeling system. Siberian Journal of Science and Technology. 2020, Vol. 21, No. 3, P. 337–346.


Ustimenko Valeriya Vladimirovna – Master; Siberian Federal University. E-mail: zeya1998@mail.ru.

Mikhailenko Lyudmila Andreevna – Master; Siberian Federal University. E-mail: ll-oda@mail.ru.

Myznikova Viktoriya Andreevna – Master; Siberian Federal University. E-mail: veka-9@mail.ru.

Matskevich Yuliya Aleksandrovna – Master; Siberian Federal University. E-mail: jmmarkiz@mail.ru.

Chubar Aleksei Vladimirovich – Cand. Sc., docent, head of research automated process control system lab; Siberian Federal University. E-mail: alexchub@mail.ru


  Simulation of solar panel orientation system based on fuzzy logic in SimInTech visual simulation environment