Volume 22, Issue 2 (JIAEEE Vol.22 No.2 2025)                   Journal of Iranian Association of Electrical and Electronics Engineers 2025, 22(2): 68-78 | Back to browse issues page

XML Persian Abstract Print

Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
sadeghi M, havangi R. Online control of the solar tracker system using the controller Adaptive PID on Kalman filter. Journal of Iranian Association of Electrical and Electronics Engineers 2025; 22 (2) :68-78
URL: http://jiaeee.com/article-1-1526-en.html
Online control of the solar tracker system using the controller Adaptive PID on Kalman filter
Moazameh Sadeghi , Ramazan Havangi *
Faculty of Electrical and Computer Engineering,University of Birjand
Abstract:   (691 Views)
In this paper, a robust two-axis rotary-linear solar tracking system is designed and built. Adaptive PID controller is used to determine the optimal performance of the system, determine the controller input, adjust the controller parameters and the stability of the whole system, and the adaptive PID controller parameters are designed and adjusted using the reference model by Kalman filter. By adjusting the parameters of the adaptive PID controller based on the Kalman filter, the disturbances and uncertainty entered into the system during tracking in a short time have been well suppressed and the system has been stabilized online. Adaptive PID controller based on Kalman filter, has increased the efficiency of production power in steady-state, single-axis and two-axis, and also reduced the energy consumption of motors. In order to evaluate the control of the solar tracking system in eliminating natural disturbances, accurate tracking and receiving maximum power from the environment, a comparison was made between the performance of adaptive PID controller based on Kalman filter and PID controller based on offline and online optimization algorithms.
 
Keywords: Photovoltaic system, Solar Tracker, Troubleshooting, Adaptive PID controller, Reference model, Kalman filter
Full-Text [PDF 1437 kb]   (50 Downloads)    
Type of Article: Research | Subject: Control
Received: 2022/11/15 | Accepted: 2023/08/26 | Published: 2025/08/15
References
1. [1] S. Ozlu, I. Dincer, "Analysis and evaluation of a new solar energy‐based multigeneration system", International Journal of Energy Research ,Vol.40, PP. 1339-1354,2016. [DOI:10.1002/er.3516]
2. [2] S. Seme, G. Stumberger, J. Vorsic, "Maximum efficiency trajectories of a two-axis sun tracking system determined considering tracking system consumption", IEEE Transactions on Power Electronics,Vol.26, PP.1280-1290, 2011. [DOI:10.1109/TPEL.2011.2105506]
3. [3] M. Filomeno, P. Vieira, S. Moura, T. Anibal, de. Almeida, "Energy storage system for self-consumption of photovoltaic energy in residential zero energy buildings", Renewable Energy,Vol.103,PP. 308-320, 2017. [DOI:10.1016/j.renene.2016.11.048]
4. [4] A. M. Zegaoui, P. Aillerie, J. P. Petit, J. P. Sawicki, A. Charles, W. Belarbi, "Dynamic behaviour of PV generator trackers under irradiation and temperature changes", Solar Energy, Vol.85,PP. 2953-2964, 2011. [DOI:10.1016/j.solener.2011.08.038]
5. [5] Sadeghi S. Design and analysis of a 30 kV photovoltaic grid connected system using pvsyst software. Journal of Iranian Association of Electrical and Electronics Engineers 2023; 20 (4) :47-54. [DOI:10.61186/jiaeee.20.4.2627]
6. [6] Abolghasempour H, Razi-Kazemi A A. Transient modeling of photovoltaic system (PV) to investigating the peak of transient voltage generated by direct and indirect lightning strikes. Journal of Iranian Association of Electrical and Electronics Engineers 2023; 20 (2) :159-169 [DOI:10.52547/jiaeee.20.2.159]
7. [7] L. Serrano-Lujan, N. Espinosa, J. Abad, A. Urbina, "He greenest decision on photovoltaic system allocation", Renewable Energy, 1348-1356, 2017. [DOI:10.1016/j.renene.2016.10.020]
8. [8] R. Carvalho, A. Lacerda Filho, P. Resende Possi, J. Kruckeberg, "An economical,two axes solar tracking system for implementation in Brazil", Applied Engineering in Agriculture,VOL. 29,NO. 2, PP.123-128, 2013. [DOI:10.13031/2013.42525]
9. [9] Y. Yao, Y. Hu, S. GAO, G. Yang, J. Du, "A multipurpose dual-axis solar tracker with two tracking strategies", Renewable Energy, Vol.72,PP. 88,No.98, 2014. [DOI:10.1016/j.renene.2014.07.002]
10. [10] J. M. Oh, Burhan, K. C. Ng, Y. Kim, W. Chun, "Development and performance analysis of a two‐axis solar tracker for concentrated photovoltaics", International Journal of Energy Research,Vol.39, PP.965-976, 2015. [DOI:10.1002/er.3306]
11. [11] C. Lazaroiu, M. Longo, M. Roscia, M. Pagano, "Comparative analysis of fixed and sun tracking low power PV systems considering energy consumption. Energy Conversion and Management", Vol.92,PP.143-148, 2015. [DOI:10.1016/j.enconman.2014.12.046]
12. [12] A. AliMohamad, " Efficiency improvements of photo-voltaic panels using a Sun-tracking system", Applied Energy, Vol.79, PP. 345-354. 2004. [DOI:10.1016/j.apenergy.2003.12.004]
13. [13] P. Roth, A. Georgiev, H. Boudinov, "Cheap two axis sun following device. Energy Conversion and Management", Vol. 46, PP.1179-1192,2005. [DOI:10.1016/j.enconman.2004.06.015]
14. [14] H. Mousazadeh, A. Keyhani, A. Javadi, H. Mobli, A. Abrinia, K. Sharifi. "A review of principle and sun-tracking methods for maximizing solar systems output", Renewable and Sustainable Energy Reviews,PP, 11800-1818, 2009. [DOI:10.1016/j.rser.2009.01.022]
15. [15] H. Fathabadi, "Comparative study between two novel sensorless and sensor based dual-axis solar trackers", Solar Energy, Vol.138, PP.67-76, 2016. [DOI:10.1016/j.solener.2016.09.009]
16. [16] Y. Away, M. Ikhsan, "Dual-axis sun tracker sensor based on tetrahedron geometry. Automation in Construction", Vol.73, PP.175-183, 2017. [DOI:10.1016/j.autcon.2016.10.009]
17. [17] M. Abdollahpour, M. R. Golzarian, A. Rohani. Hossein, A. Zarchi, "Development of a machine vision dual-axis solar tracking system", Solar Energy,Vol. 196,PP.136-143,2018. [DOI:10.1016/j.solener.2018.03.059]
18. [18] F- M. Hoffmann, R-F. Molz, J- V. Kothe, E- O- B. Nara, L P- C. Tedesco, "Monthly profile analysis based on a two-axis solar tracker proposal for photovoltaic panels", [Renewable Energy, Vol.115,PP.750-759,2017. [DOI:10.1016/j.renene.2017.08.079]
19. [19] J.-H. Chen, H.-T. Yau, and T.-H. Hung, "Design and implementation of FPGA-based Taguchi-chaos-PSO sun tracking systems". Mechatronics, Vol.25,PP. 55-64, 2015. [DOI:10.1016/j.mechatronics.2014.12.004]
20. [20] MI. Solihin, K- ML. Tack LF, "Tuning of PID controller using particle swarm Optimization (PSO)", Int Conf Adv Sci,Vol. 1,PP.458-61,2011. [DOI:10.18517/ijaseit.1.4.93]
21. [21] M-M. Sabir, A. Tariq, "Optimal PID controller design through swarm intelligence algorithms for sun tracking system", pplied Mathematics and Computation Vol.274,PP.690-699, 2016. [DOI:10.1016/j.amc.2015.11.036]
22. [22] Ch. wari, seyezhai. "PSO-PID Maximum Power Point Tracking Controller Using Modified Superlift Luo Converter", Energy procedia, Vol.117,PP,87-94. 2017 [DOI:10.1016/j.egypro.2017.05.110]
23. [23] D. Liang, L. Xiyuan, D. Bo, L. Yuanchun, "Experimental Investigation on Fuzzy PID Control of Dual Axis Turntable Servo System", Procedia Computer, Vol.131,PP.531-540, 2018. [DOI:10.1016/j.procs.2018.04.258]
24. [24] A. Fathy, H. Rezk, "Parameter Estimation of Photovoltaic 1 System Using Imperialist Competitive Algorithm", Renewable Energy, Vol.111,PP.307-320, 2017 [DOI:10.1016/j.renene.2017.04.014]
25. [25] Y. Sawle, S. Aashi KumarBohre, GuptaC. "Optimal sizing of Standalone pv/wind/ Biomass hybrid Energy System using GA and PSO optimization", technique.Energy procedia,Vol.117,PP. 690-698. 2017. [DOI:10.1016/j.egypro.2017.05.183]
26. [26] B. Jovanovic, "Kalman filter estimation of the unrecorded economy in Macedonia", Nation There are no sources in the current document.al Bank of the Republic of Macedonia Working Papers, 2015.
27. [27] B. Grazia, and M. David, "A photovoltaics-aided interlaced extended Kalman filter fordistribution systems state estimation", Sustainable Energy, Grids and Networks Vol.26, 2021. [DOI:10.1016/j.segan.2021.100438]
28. [28] S. Motahhir, A. Aoune, and A. Deroich, "Comparison between Kalman filter and incremental conductance algorithm for optimizing photovoltaic energy", Springer, Vol.8, 2017. [DOI:10.1186/s40807-017-0046-8]
29. [29] B. Tarek, D. Said, and C-Al. Larbi, "Experimental control of photovoltaic system using neuro - Kalman filter maximum power point tracking (MPPT) technique", Int. J. Emerg. Electr. Power Syst. Vol.,21,2020. [DOI:10.1515/ijeeps-2019-0210]
30. [30]Babaei. "Using the modified particle swarm optimization algorithm to adjust the PID controller parameters", National Conference of Electrical Engineering, Khavaran Higher Educational Institute of Mashhad,2012.
31. [31] Y. Ashida, S. Wakitani, T. Yamamoto, "Design of a Self-tuning Predictive PI Controller for Delay Systems based on the Augmented Output", CINCO (1), - scitepress.org 2019. [DOI:10.5220/0007919306720679]
Add your comments about this article : Your username or Email:
CAPTCHA
Send email to the article author

Rights and permissions
Creative Commons License This Journal is an open access Journal Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License. (CC BY NC 4.0)