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Higher Order Sliding Mode Control for Permanent Magnet Synchronous Generator Based Wind Turbine for Maximum Power Tracking

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Abstract:

Recently, wind energy has become increasingly popular as a sustainable energy source. Variable speed wind energy conversion systems (VS-WECSs), particularly those using Permanent Magnet Synchronous Generators (PMSGs), are more prevalent to other generator systems due to their higher capacity for electricity generation and adaptability to fluctuating wind conditions. This research presents a new control algorithm that is based on Higher Order Sliding Mode Control (HOSMC) to enhance maximum power tracking (MPT) for PMSG-based wind turbines (WT) under variable wind conditions and system uncertainties. The research employs second order super-twisting sliding mode control (SO-STSMC) to the back-to-back converter that connected the PMSG to the grid. In the proposed controller, the machine side converter uses optimal power control to regulate the DC-link voltage, and the grid side converter provides maximum power tracking (MPT) for the turbine. The proposed HOSM controller mitigates chattering effect associated with conventional sliding mode control, thus improving system robustness, stability, and power efficiency. Simulation of the HOSMC-based system was performed using MATLAB/SIMULINK. To demonstrate the effectiveness of the Maximum Power Tracking (MPT) of the proposed controller, the output power is compared with Proportional-Integral (PI) and First-Order Sliding Mode (FOSM) controllers while varying wind speed over time. Simulation results show that the designed Higher-Order Sliding Mode (HOSM) controller significantly reduces chattering and effectively maximizes the output power by 89% over a wide range of wind speeds compared to other controllers.

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Advanced Engineering Forum Vol. 57 View Preview

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Periodical:

Advanced Engineering Forum (Volume 57)

Pages:

83-99

DOI:

https://doi.org/10.4028/p-Pqb8Uf

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Online since:

October 2025

Authors:

Yunus Olatunji Okonu*, Kayode Francis Akingbade, Brendan Ubochi

Keywords:

Higher Order Sliding Mode Control, MATLAB/SIMULINK, Maximum Power Tracking, Permanent Magnet Synchronous Generator, Renewable Energy, Wind Energy, Wind Turbine

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References

[1] V. Yaramasu, B. Wu, P. C. Sen, S. Kouro, and M. Narimani, "High-power wind energy conversion systems: State-of-the-art and emerging technologies," Proceedings of the IEEE, vol. 103, no. 5, 2015, pp.740-788

DOI: 10.1109/JPROC.2014.2378692

Google Scholar

[2] W. Cao, Y. Xie and Z. Tan, "Wind Turbine Generator Technologies," Advances in Wind Power, 2012

DOI: 10.5772/51780

Google Scholar

[3] BTM Consults, "International wind energy development: World market update 2010," Annual Wind Energy Report, 16th ed., 2010.

Google Scholar

[4] T. Shanker and R. H. Singh, "Wind energy conversion system: A review," in 2012 Students Conference on Engineering and Systems, Allahabad, India, 2012, pp.1-6

DOI: 10.1109/SCES.2012.6199044

Google Scholar

[5] D. Bang, H. Polinder, G. Shrestha, and J. Ferreira, "Review of generator systems for direct-drive wind turbines," in European Wind Energy Conference & Exhibition, Belgium, 2018, pp.1-11.

DOI: 10.1109/epewecs.2008.4497321

Google Scholar

[6] A. Faisal and H. T. Kahawish, "Maximum power extraction using twisting sliding mode controller for wind energy systems," Journal of Engineering and Sustainable Development, vol. 27, no. 4, 2023, pp.527-544

DOI: 10.31272/jeasd.27.4.9

Google Scholar

[7] E. Akbari and M. S. Shadlu, "Maximum power point tracking-based control strategy for PMSG wind energy conversion system using a combined fuzzy-model predictive controller," in 14th Power Electronics, Drive Systems, and Technologies Conference (PEDSTC), Babol, Iran, 2023, pp.1-6

DOI: 10.1109/PEDSTC57673.2023.10087073

Google Scholar

[8] Y. M. Alsmadi, V. Utkin, M. Haj-Ahmed, L. Xu, and A. Y. Abdelaziz, "Sliding-mode control of power converters: AC/DC converters & DC/AC inverters," International Journal of Control, 2018, pp.1-15

DOI: 10.1080/00207179.2017.1390263

Google Scholar

[9] H. Alami Aroussi, E. M. Ziani, M. Bouderbala, and B. Bossoufi, "Improvement of direct torque control applied to doubly fed induction motor under variable speed," International Journal of Power Electronics and Drive System (IJPEDS), vol. 11, no. 1, 2020, pp.1511-1520.

DOI: 10.11591/ijpeds.v11.i1.pp97-106

Google Scholar

[10] J. Hostettler and X. Wang, "Sliding mode control of a permanent magnet synchronous generator for variable speed wind energy conversion systems," Systems Science & Control Engineering, vol. 3, no. 1, 2015, pp.453-459

DOI: 10.1080/21642583.2015.1082513

Google Scholar

[11] M. Ayadi, N. Omar, and D. Nabil, "Higher-order sliding mode control for variable speed PMSG-wind turbine based disturbance observer," International Journal of Modelling, Identification and Control, vol. 1, no. 1, 2019, pp.21-32

DOI: 10.1504/IJMIC.2019.101958

Google Scholar

[12] S. Bellarbi, S. Djohra, and A. Djoudi, "Sliding mode control for PMSG-based wind power system," Journal of Physics: Conference Series, vol. 9, no. 1, 2018, pp.1-9

DOI: 10.1088/1742-6596/1081/1/012012

Google Scholar

[13] H. Chen and W. Han, "Adaptive higher-order sliding mode control with wind speed estimation for permanent magnet synchronous generator-based wind turbine," IEEE Access, no. 8, 2020, p.33009–33019.

DOI: 10.1002/we.2601/v3/review2

Google Scholar

[14] L. Kunjumuhammed, S. Kuenzel, and B. Pal, "Simulation of Power System with Renewables", Academic Press Inc., 2020.

Google Scholar

[15] M. Nasiri, J. Milimonfared, and S. H. Fathi, "Modeling, analysis and comparison of TSR and OTC methods for MPPT and power smoothing in permanent magnet synchronous generator-based wind turbines," Energy Conversion and Management, vol. 86, 2014, pp.892-900.

DOI: 10.1016/j.enconman.2014.06.055

Google Scholar

[16] X. Chen and Q. Wang, "Chattering-free higher-order sliding mode control for PMSG-based wind energy conversion systems," IEEE Transactions on Industrial Electronics, vol. 65, no. 9, 2018, pp.7424-7432.

Google Scholar

[17] Y. Shtessel, C. Edwards, L. Fridman, and A. Levant, "Conventional sliding mode observers," in Sliding Mode Control and Observation, , Springer, 2014, pp.105-141.

DOI: 10.1007/978-0-8176-4893-0_3

Google Scholar

[18] C. Edwards and Y. B. Shtessel, "Adaptive continuous higher-order sliding mode control," Automatica, 2016

DOI: 10.1016/j.automatica.2015.11.038

Google Scholar

[19] J. Liu, Y. Gao, Y. Yin, J. Wang, W. Luo, and G. Sun, "Basic theory of sliding mode control," in Sliding Mode Control Methodology in the Applications of Industrial Power Systems, Studies in Systems, Decision and Control, vol. 249, Springer, 2020, pp.1-15

DOI: 10.1007/978-3-030-30655-7_2

Google Scholar

[20] X. Liu and Y. Li, "Higher-order sliding mode control for continuous-time chaotic systems," Nonlinear Dynamics, vol. 3, 2015, pp.1697-1709.

Google Scholar

[21] M. Fazza and A. Mani, "Higher-order sliding mode control of uncertain nonlinear systems with time-varying delays," IEEE Transactions on Systems, Man, and Cybernetics, vol. 4, no. 6, 2011, pp.1435-1445.

Google Scholar

[22] S. J. Gambhire, D. R. Kishore, P. S. Londhe, and S. N. Pawar, "Review of sliding mode-based control techniques for control system applications," International Journal of Dynamics and Control, vol. 9, 2020, pp.363-378

DOI: 10.1007/s40435-020-00638-7

Google Scholar

[23] W. Perruquetti and J. P. Barbot, Sliding Mode Control in Engineering, Marcel Dekker, Inc., New York, 2002.

Google Scholar

[24] S. Kamal, J. A. Moreno, A. Chalanga, B. Bandyopadhyay, and L. M. Fridman, "Continuous terminal sliding-mode controller," Automatica, 2016.

DOI: 10.1016/j.automatica.2016.02.001

Google Scholar

[25] Y. El Mourabit, A. Derouich, A. El Ghzizal, J. Bouchnaif, N. El Ouanjli, O. Zamzoum, K. Mezioui, and B. Bossoufi, "Implementation and validation of backstepping control for PMSG wind turbine using dSPACE controller board," Energy Report Journal, 2019, pp.807-821.

DOI: 10.1140/epjp/i2019-12961-x

Google Scholar

[26] B. Bossoufi, M. Karim, A. Lagrioui, M. Taoussi, and A. Derouich, "Observer backstepping control of DFIG-generators for wind turbines variable-speed: FPGA-based implementation," Renewable Energy Journal, vol. 81, 2015, pp.903-917

DOI: 10.1016/j.automatica.2016.02.001

Google Scholar

[27] S. Karthikeyan and C. Ramakrishnan, "A hybrid fuzzy logic-based MPPT algorithm for PMSG-based variable speed wind energy conversion system on a smart grid," Energy Storage and Saving, 2024, p.1–30

DOI: 10.1016/j.enss.2024.08.001

Google Scholar

[28] Y. Li and Y. Zhang, "Adaptive higher-order sliding mode control of PMSG-based wind turbines with nonlinear loads," IEEE Transactions on Industrial Electronics, vol. 68, no. 2, 2021, pp.991-1001.

Google Scholar

[29] F. Louar, A. Ouari, A. Omeiri, F. Senani, and A. Rahab, "Direct power control (DPC) of PMSG-based wind energy conversion system", in 2015 4th International Conference on Electrical Engineering (ICEE), Boumerdes, Algeria, 2015, p.1–6

DOI: 10.1109/INTEE.2015.7416794

Google Scholar

[30] F. Manwell, J. G. McGowan, and A. L. Rogers, Wind energy explained: Theory, design and application, 2nd ed., Wiley, England, 2009.

DOI: 10.1002/9781119994367

Google Scholar

[31] S. M. Mozayan, M. Saad, H. Vahedi, H. Fortin-Blanchette, and M. Soltani, "Sliding mode control of PMSG wind turbine based on enhanced exponential reaching law," IEEE Transactions on Industrial Electronics, vol. 63, 2016, pp.6148-6159

DOI: 10.1109/TIE.2016.2570718

Google Scholar

[32] H. Ouyang, Z. Ma, and L. Zhang, "Sliding mode control of permanent magnet synchronous generators in wind energy conversion systems," IET Renewable Power Generation, vol. 10, no. 7, 2016, pp.849-857.

Google Scholar

[33] H. Phan and S. Huang, "Super-twisting sliding mode control design for cascaded control system of PMSG wind turbine," Journal of Power Electronics, vol. 15, no. 5, 2015, pp.1358-1366

DOI: 10.6113/JPE.2015.15.5.1358

Google Scholar

[34] G. Singh, Wind Energy Conversion Systems: Principles, Design, Analysis and Applications, New Age International, 2008.

Google Scholar

[35] Y. Wang and X. Liu, "Robust higher-order sliding mode control for PMSG-based wind energy conversion systems with model uncertainties and disturbances," IEEE Transactions on Sustainable Energy, vol. 12, no. 1, 2021, pp.397-407.

Google Scholar

[36] X. Wei, J. Yajie, G. Zhi, C. Mu, and Y. Liu, "Permanent magnet synchronous machine control system and permanent magnet synchronous machine control method based on high-order sliding mode method," IEEE Transactions on Industrial Electronics, vol. 63, 2016, pp.6148-6159

DOI: 10.1109/TIE.2016.2570718

Google Scholar

[37] B. Yang, T. Yu, H. Shu, Y. Han, P. Cao, and L. Jiang, "Adaptive fractional-order PID control of PMSG-based wind energy conversion system for MPPT using linear observers," International Transactions on Electrical Energy Systems, vol. 1, no. 2, 2019, pp.1-9

DOI: 10.1002/etep.2697

Google Scholar

[38] A. R. Youssef, E. E. M. Mohamed, and A. I. M. Ali, "Model predictive control for grid-tie wind-energy conversion system based on PMSG," in 2018 International Conference on Innovative Trends in Computer Engineering (ITCE), Aswan, Egypt, 2018, pp.467-472

DOI: 10.1109/ITCE.2018.8316668

Google Scholar

[39] S. Yuan and Y. Shen, "Maximum power tracking control method of permanent magnet direct drive wind power system based on improved sliding mode controller," 2022 34th Chinese Control and Decision Conference (CCDC), Hefei, China, 2022, pp.2430-2435

DOI: 10.1109/CCDC55256.2022.10034139

Google Scholar

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