Improved of Sliding Mode Control for Maximum Power Point Tracking in Solar Photovoltaic Applications Under Varying Conditions
(1) Alaq F. Hassan Mail (Middle Technical University, Iraq)
(2) Mohanad Nawfal Mail (University of Technology-Iraq, Iraq)
(3) * Huthaifa Al-Khazraji Mail (University of Technology-Iraq, Iraq)
(4) Amjad J. Humaidi Mail (University of Technology-Iraq, Iraq)
*corresponding author

Abstract


The solar energy generation sector has received widespread interest compared to other types of sustainable energy generation. This is owing to its high efficiency and the availability of environmental factors essential to the operation of these systems in various parts of the world. However, increased the power extracted from these systems are a critical issue as their conversion efficiency is low. Therefore, a maximum power point tracking (MPPT) controller is necessary in a photovoltaic generation system (PV) for maximum power extraction. This study aims to explore the performance of the MPPT system that uses an improved sliding mode controller (SMC) to identify and track a maximum power point (MPP) of a PV system and compares it to synergetic algorithm control (SACT). To implementing this purpose, MATLAB/Simulink model of a stand-alone PV panel is developed. Then, the analysis of the performance efficiency of the PV system based on the proposed MPPT methods are implemented under varying environmental conditions. Being able to track the MPP perfectly in the case of a sudden change in environment conditions, the improved SMC is proven by the results to be superior in stabilizing the boost converter's operation, leading to enhanced PV system stability. This has led to a reduction in power losses and an increase in efficiency.

   

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https://doi.org/10.31763/ijrcs.v5i3.1925 		      

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[1] G. Dileep, S. N. Singh, “Maximum power point tracking of solar photovoltaic system using modified perturbation and observation method,” Renewable and Sustainable Energy Reviews, vol. 50, pp. 109-129, 2015, https://doi.org/10.1016/j.rser.2015.04.072.

[2] U. Yilmaz, A. Kircay, S. Borekci, “PV system fuzzy logic MPPT method and PI control as a charge controller,” Renewable and Sustainable Energy Reviews, vol. 81, pp. 994-1001, 2018, https://doi.org/10.1016/j.rser.2017.08.048.

[3] N. S. M. N. Izam, Z. Itam, W. L. Sing, A. Syamsir, "Sustainable Development Perspectives of Solar Energy Technologies with Focus on Solar Photovoltaic-A Review," Energies, vol. 15, no. 8, p. 2790, 2022, https://doi.org/10.3390/en15082790.

[4] A. F. Challoob, N. A. Bin Rahmat, V. K. Ramachandaramurthy, N. Saeed and A. J. Humaidi, "An Intelligent Battery Management System for an Electric Vehicle Powered by Solar PV Array," 2024 59th International Universities Power Engineering Conference (UPEC), pp. 1-6, 2024, https://doi.org/10.1109/UPEC61344.2024.10892594.

[5] M. G. M. Abdolrasol, A. Ayob, A. H. Mutlag, T. S. Ustun, “Optimal fuzzy logic controller based PSO for photovoltaic system,” Energy Reports, vol. 9, pp. 427-434, 2023, https://doi.org/10.1016/j.egyr.2022.11.039.

[6] H. Al-Khazraji, W. Guo, and A. J. Humaidi, "Improved cuckoo search optimization for production inventory control systems," Serbian Journal of Electrical Engineering, vol. 21, no. 2, pp. 187-200, 2024, https://doi.org/10.2298/SJEE2402187A.

[7] F. R. Yaseen and H. Al-Khazraji, "Optimized Vector Control Using Swarm Bipolar Algorithm for Five-Level PWM Inverter-Fed Three-Phase Induction Motor," International Journal of Robotics and Control Systems, vol. 5, no. 1, pp. 333-347, 2025, https://doi.org/10.31763/ijrcs.v5i1.1713.

[8] A. E. Korial, I. I. Gorial, “System analysis and controllers performance comparison for DC motor,” International Journal of Mechanical Engineering and Robotics Research, vol. 11, no. 7, pp. 520-526, 2022, https://doi.org/10.18178/ijmerr.11.7.520-526.

[9] R. M. Naji, H. Dulaimi, and H. Al-Khazraji, "An optimized PID controller using enhanced bat algorithm in drilling processes," Journal Européen des Systèmes Automatisés, vol. 57, no. 3, pp. 767-772, 2024, https://doi.org/10.18280/jesa.570314.

[10] M. Q. Kadhim, F. R. Yaseen, H. Al-Khazraji and A. J. Humaidi, "Application of Terminal Synergetic Control Based Water Strider Optimizer for Magnetic Bearing Systems," Journal of Robotics and Control (JRC), vol. 5, no. 6, pp. 1973-1979, 2024, https://doi.org/10.18196/jrc.v5i6.23867.

[11] N. A. Tuan and H. P. H. Anh, “Enhanced Adaptive Neuro Sliding Mode Controller Parameter Optimization for Coupled Tank System,” Journal of Robotics and Control (JRC), vol. 6, no. 3, pp. 1293-1307, 2025, https://doi.org/10.18196/jrc.v6i3.25992.

[12] F. R. Yaseen, M. Q. Kadhim, H. Al-Khazraji and A. J. Humaidi, "Decentralized Control Design for Heating System in Multi-Zone Buildings Based on Whale Optimization Algorithm," Journal Européen des Systèmes Automatisés, vol. 57, no. 4, pp. 981-989, 2024,
https://doi.org/10.18280/jesa.570406.

[13] H. Maghfiroh et al., “Induction Motor Speed Control Using PID Tuned by Particle Swarm Optimization Under Vector Control,” Buletin Ilmiah Sarjana Teknik Elektro, vol. 7, no. 2, pp. 172-180, 2025, https://doi.org/10.12928/biste.v7i2.13112.

[14] F. R. Al-Ani, O. F. Lutfy, H. Al-Khazraji, "Optimal Backstepping and Feedback Linearization Controllers Design for Tracking Control of Magnetic Levitation System: A Comparative Study," Journal of Robotics and Control (JRC), vol. 5, no. 6, pp. 1888-1896, 2024, https://doi.org/10.18196/jrc.v6i1.24452.

[15] S. A. Al-Samarraie, I. I. Gorial, “Modeling of electromechanical system and motion control for mechatronics application,” International Review of Automatic Control, vol. 16, no. 5, pp. 246-252, 2023, https://doi.org/10.15866/ireaco.v16i5.24226.

[16] M. A. Al-Ali, O. F. Lutfy, H. Al-Khazraj, "Investigation of Optimal Controllers on Dynamics Performance of Nonlinear Active Suspension Systems with Actuator Saturation," Journal of Robotics and Control (JRC), vol. 5, no. 4, pp. 1041-1049, 2024, https://doi.org/10.18196/jrc.v5i4.22139.

[17] M. Nawfal, A. A. Yahya, R. A. Mahmod, H. Al-Khazraji, "Integration of Sparrow Search Optimization with Terminal Synergetic Control for Permanent Magnet Linear Synchronous Motors," Journal of Robotics and Control (JRC), vol. 6, no. 2, pp. 1033-1040, 2025, https://doi.org/10.18196/jrc.v6i2.26174.

[18] R. Al-Majeez, K. Al-Badri, H. Al-Khazraji, S. M. Ra'afat, "Design of A Backstepping Control and Synergetic Control for An Interconnected Twin-Tanks System: A Comparative Study," International Journal of Robotics and Control Systems, vol. 4, no. 4, pp. 2041-2054, 2024, https://doi.org/10.31763/ijrcs.v4i4.1682.

[19] P. Das, “Maximum Power Tracking Based Open Circuit Voltage Method for PV System,” Energy Procedia, vol. 90, pp. 2-13, 2016, https://doi.org/10.1016/j.egypro.2016.11.165.

[20] R. M. Asif et al., "Design and analysis of robust fuzzy logic maximum power point tracking based isolated photovoltaic energy system," Engineering Reports, vol. 2, no. 9, p. e12234, 2020, https://doi.org/10.1002/eng2.12234.

[21] R. S. Sharma and P. K. Katti, "Perturb & observation MPPT algorithm for solar photovoltaic system," 2017 International Conference on Circuit, Power and Computing Technologies (ICCPCT), pp. 1-6, 2017, https://doi.org/10.1109/ICCPCT.2017.8074191.

[22] D. Guiza, D. Ounnas, Y. Soufi, A. Bouden and M. Maamri, "Implementation of Modified Perturb and Observe Based MPPT Algorithm for Photovoltaic System," 2019 1st International Conference on Sustainable Renewable Energy Systems and Applications (ICSRESA), pp. 1-6, 2019, https://doi.org/10.1109/ICSRESA49121.2019.9182483.

[23] R. I. Putri, S. Wibowo, and M. Rifa’i, “Maximum power point tracking for photovoltaic using incremental conductance method,” Energy Procedia, vol. 68, pp. 22-30, 2015, https://doi.org/10.1016/j.egypro.2015.03.228.

[24] H. T. Yau and C. H. Wu, “Comparison of extremum-seeking control techniques for maximum power point tracking in photovoltaic systems,” Energies, vol. 4, no. 12, pp. 2180-2195, 2011, https://doi.org/10.3390/en4122180.

[25] P. Cheng, B. Peng, Y. Liu, Y. Cheng, and J. Huang, “Optimization of a fuzzy-logic-control-based MPPT algorithm using the particle Swarm optimization technique,” Energies, vol. 8, no. 6, pp. 5338-5360, 2015, https://doi.org/10.3390/en8065338.

[26] K. Kayisli, “Super twisting sliding mode-type 2 fuzzy MPPT control of solar PV system with parameter optimization under variable irradiance conditions,” Ain Shams Engineering Journal, vol. 14, no. 1, p. 101950, 2023, https://doi.org/10.1016/j.asej.2022.101950.

[27] K. Dahech, M. Allouche, T. Damak, and F. Tadeo, “Backstepping sliding mode control for maximum power point tracking of a photovoltaic system,” Electric Power Systems Research, vol. 143, pp. 182-188, 2017, https://doi.org/10.1016/j.epsr.2016.10.043.

[28] A. Kihal, F. Krim, A. Laib, B. Talbi, and H. Afghoul, “An improved MPPT scheme employing adaptive integral derivative sliding mode control for photovoltaic systems under fast irradiation changes,” ISA Transactions, vol. 87, pp. 297-306, 2019, https://doi.org/10.1016/j.isatra.2018.11.020.

[29] A. Q. Al-Dujaili, A. J. Humaidi, Z. T. Allawi, and M. E. Sadiq, “Earthquake hazard mitigation for uncertain building systems based on adaptive synergetic control,” Applied System Innovation, vol. 6, no. 2, p. 34, 2023, https://doi.org/10.3390/asi6020034.

[30] V. Utkin, J. Guldner, J. Shi, “Sliding mode control in electro-mechanical systems,” CRC press, 2017, https://books.google.co.id/books?id=8IrLBQAAQBAJ&source=gbs_navlinks_s.

[31] A. Ma’arif, M. A. M. Vera, M. S. Mahmoud, E. Umoh, A. J. Abougarair, and S. N. Rahmadhia, “Sliding Mode Control Design for Magnetic Levitation System,” Journal of Robotics and Control (JRC), vol. 3, no. 6, pp. 848-853, 2023, https://doi.org/10.18196/jrc.v3i6.12389.

[32] Z. A. Waheed, A. J. Humaidi, "Design of Optimal Sliding Mode Control of Elbow Wearable Exoskeleton System Based on Whale Optimization Algorithm," Journal Européen des Systèmes Automatisés, vol. 55, no. 4, pp. 459-466, 2022, https://doi.org/10.18280/jesa.550404.

[33] H. Al-Khazraji, K. Al-Badri, R. Almajeez, and A. J. Humaidi, "Synergetic control-based sea lion optimization approach for position tracking control of ball and beam system," International Journal of Robotics and Control Systems, vol. 4, no. 4, pp. 1547-1560, 2024, https://doi.org/10.31763/ijrcs.v4i4.1551.

[34] H. Al-Khazraji, K. Al-Badri, R. Al-Majeez, and A. J. Humaidi, “Synergetic Control Design Based Sparrow Search Optimization for Tracking Control of Driven-Pendulum System,” Journal of Robotics and Control (JRC), vol. 5, no. 5, pp. 1549-1556, 2024, https://doi.org/10.18196/jrc.v5i5.22893.

[35] F. R. Al-Ani, O. F. Lutfy, and H. Al-Khazraji, "Optimal Synergetic and Feedback Linearization Controllers Design for Magnetic Levitation Systems: A Comparative Study," Journal of Robotics and Control (JRC), vol. 6, no. 1, pp. 22-30, 2025, https://doi.org/10.18196/jrc.v6i1.24452.

[36] R. D. Silveira, G. P. das Neves, S. A. O. da Silva, and B. A. Angélico, “An enhanced MPPT algorithm based on adaptive extremum-seeking control applied to photovoltaic systems operating under partial shading,” IET Renewable Power Generation, vol. 15, no. 6, pp. 1227-1239, 2021, https://doi.org/10.1049/rpg2.12102.

[37] A. Gupta, Y. K. Chauhan, and R. K. Pachauri, “A comparative investigation of maximum power point tracking methods for solar PV system,” Solar Energy, vol. 136, pp. 236-253, 2016, https://doi.org/10.1016/j.solener.2016.07.001.

[38] J. Hahm, J. Baek, H. Kang, H. Lee, and M. Park, “Matlab-based modeling and simulations to study the performance of different MPPT techniques used for photovoltaic systems under partially shaded conditions,” International Journal of Photoenergy, vol. 2015, no. 1, pp. 1-11, 2015, https://doi.org/10.1155/2015/979267.

[39] S. D. Al-Majidi, M. F. Abbod, and H. S. Al-Raweshidy, “A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems,” International Journal of Hydrogen Energy, vol. 43, no. 31, pp. 14158-14171, 2018, https://doi.org/10.1016/j.ijhydene.2018.06.002.

[40] P. K. Pathak and A. K. Yadav, “Design of battery charging circuit through intelligent MPPT using SPV system,” Solar Energy, vol. 178, pp. 79-89, 2019, https://doi.org/10.1016/j.solener.2018.12.018.

[41] R. A. M. Lameirinhas, J. P. N. Torres, and J. P. d. M. Cunha, "A Photovoltaic Technology Review: History, Fundamentals and Applications," Energies, vol. 15, no. 5, p. 1823, 2022, https://doi.org/10.3390/en15051823.

[42] E. Nechadi, M. N. Harmas, N. Essounbouli, and A. Hamzaoui, “Optimal Synergetic Control based Bat Algorithm for DC-DC Boost Converter,” IFAC-PapersOnLine, vol. 49, no. 12, pp. 698-703, 2016, https://doi.org/10.1016/j.ifacol.2016.07.792.

[43] A. F. Mutlak, A. J. Humaidi, "A Comparative Study of Synergetic and Sliding Mode Controllers for Pendulum Systems," Journal Européen des Systèmes Automatisés, vol. 56, no. 5, pp. 871-877, 2023, https://doi.org/10.18280/jesa.560518.

[44] A. K. Abbas, S. K. Kadhim, "Eliminating Chattering in Prosthetic Fingers Using Classic Synergetic Control," Journal Européen des Systèmes Automatisés, vol. 58, no. 1, pp. 75-87, 2024, https://doi.org/10.18280/jesa.580109.

[45] S. M. Mahdi, N. Q. Yousif, A. A. Oglah, M. E. Sadiq, A. J. Humaidi, and A. T. Azar, “Adaptive synergetic motion control for wearable knee-assistive system: a rehabilitation of disabled patients,” Actuators, vol. 11, no. 7, p. 176, 2022, https://doi.org/10.3390/act11070176.

[46] A. F. Mutlak and A. J. Humaidi, “Adaptive synergetic control for electronic throttle valve system,” International Review of Applied Sciences and Engineering, vol. 15, no. 2, pp. 211-220, 2024, https://doi.org/10.1556/1848.2023.00706.

[47] M. Mahmoud, R. Saleh, A. Ma’arif, "Stabilizing of inverted pendulum system using Robust sliding mode control," International Journal of Robotics and Control Systems, vol. 2, no. 2, pp. 230-239, 2022, https://doi.org/10.31763/ijrcs.v2i2.594.

[48] S. A. Al-Samarraie and I. I. Gorial, "Assessment of FLC, PID, Nonlinear PID, and SMC controllers for level stabilization in mechatronic systems," Journal of Robotics and Control (JRC), vol. 5, no. 6, pp. 1845-1861, 2024, https://doi.org/10.18196/jrc.v5i6.23639.

[49] D. S. Shanan, S. K. Kadhim, "Comparative Analysis of Airflow Regulation in Ventilator Systems Using Various Control Strategies," Journal Européen des Systèmes Automatisés, vol. 56, no. 5, pp. 811-821, 2023?, https://doi.org/10.18280/jesa.560512.

[50] S. A. AL-Samarraie and S. D. Salman, “Backstepping Nonlinear Control for Blood Glucose Based on Sliding Mode Meal Observer,” Al-Nahrain Journal for Engineering Sciences, vol. 21, no. 3, pp. 436-444, 2018, https://doi.org/10.29194/NJES.21030436.

[51] H. T. Yau and C. Chen, “Fuzzy sliding mode controller design for maximum power point tracking control of a solar energy system,” Transactions of the Institute of Measurement and Control, vol. 34, no. 5, pp. 557-565, 2012, https://doi.org/10.1177/0142331211407959.


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