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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM66501

Brushless DC Motor Drives in Renewable Energy Systems: Control Strategies, Performance Enhancement, and Future Scope

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM66501

Volume:

10 |

8 |

Aug 2026

Pages:

1-3

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM66501

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

DB

Dr. Bharathi

Department of Electronics

Government First Grade College, Bidar, Karnataka

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Abstract

The shift toward electrification powered by renewable energy has increased demand for advanced electric drive systems that offers higher efficiency, greater reliability, and smarter control capabilities. Among the available technologies, brushless direct current (BLDC) motors have become a strong candidate due to their high efficiency, power density, compact design, low maintenance needs, and precise controllability. Today, BLDC motor drives are widely used in applications such as photovoltaic water pumping, wind energy conversion, hybrid renewable setups, and energy-efficient transportation. This review explores recent advancements in BLDC drive technology within the context of renewable energy systems. It examines various control strategies, methods for enhancing performance, and emerging trends. The paper covers both traditional and modern control approaches, including proportional–integral (PI) control, fuzzy logic, adaptive control, sensorless techniques, model predictive control, and methods based on artificial intelligence. Additionally, it addresses key aspects like power electronic components, maximum power point tracking, energy management strategies, and fault detection in BLDC systems. The article concludes by outlining future directions, such as AI-driven autonomous control, digital twin-based monitoring, next-generation power semiconductors, integrated hybrid energy systems, and more sophisticated energy management solutions.

KEYWORDS

BLDC motor renewable energy photovoltaic system wind energy intelligent control MPPT sensorless drive energy management.

Cite This Article

Dr. Bharathi, "Brushless DC Motor Drives in Renewable Energy Systems: Control Strategies, Performance Enhancement, and Future Scope," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-3, Aug 2026. https://doi.org/10.55041/IJSREM66501

Full Article/Conclusion

Brushless direct current (BLDC) motor drives have gained considerable attention as energy efficient drives for renewable energy systems. This paper reviews recent advances in BLDC motor drives for renewable energy systems with a focus on control strategies, performance improvement, and future trends. The review highlights the key aspects of BLDC drives for renewable energy systems including power electronics, photovoltaic maximum power point tracking methods, and energy management. The review  also discusses future trends and research directions in BLDC motor drives for renewable energy systems.  The article demonstrates that BLDC motor drives are a critical component in renewable energy systems as they offer high efficiency, reliability, compact size, and good controllability. The review highlights the significance of advanced control techniques such as model predictive control and artificial intelligence in improving the performance of BLDC motor drives for renewable energy systems.  In addition, the importance of optimizing the performance of BLDC motor drives for renewable energy systems using advanced power semiconductor devices cannot be underestimated. The review also shows that reliable BLDC motor drives for renewable energy systems can be achieved using IoT-driven fault diagnosis methods. Finally, future BLDC motor drives will become more intelligent using emerging technologies such as digital twins and artificial intelligence.

References

1.         R. Teodorescu, M. Liserre, and P. Rodríguez, Grid Converters for Photovoltaic and Wind Power Systems. Chichester, U.K.: Wiley, 2011. 2.         R. Krishnan, Permanent Magnet Synchronous and Brushless DC Motor Drives. Boca Raton, FL, USA: CRC Press, 2010. 3.         C. L. Xia, Permanent Magnet Brushless DC Motor Drives and Controls. Hoboken, NJ, USA: Wiley, 2012. 4.         M. A. Hannan, M. M. Hoque, A. Mohamed, and A. Ayob, “Review of energy storage systems for electric vehicle applications,” Renewable and Sustainable Energy Reviews, vol. 69, pp. 771–789, 2017. 5.         S. Jain and V. Agarwal, “A new algorithm for rapid tracking of approximate maximum power point in photovoltaic systems,” IEEE Power Electronics Letters, vol. 2, no. 1, pp. 16–19, 2004. 6.         T. Esram and P. L. Chapman, “Comparison of photovoltaic array maximum power point tracking techniques,” IEEE Transactions on Energy Conversion, vol. 22, no. 2, pp. 439–449, 2007. 7.      J. F. Gieras and M. Wing, Permanent Magnet Motor Technology: Design and Applications, 3rd ed. Boca Raton, FL, USA: CRC Press, 2010. 8.      P. P. Acarnley and J. F. Watson, “Review of position-sensorless operation of brushless permanent-magnet machines,” IEEE Transactions on Industrial Electronics, vol. 53, no. 2, pp. 352–362, 2006. 9.      K. J. Åström and T. Hägglund, Advanced PID Control. Research Triangle Park, NC, USA: ISA, 2006. 10.   B. K. Bose, Modern Power Electronics and AC Drives. Upper Saddle River, NJ, USA: Prentice Hall, 2002.

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Publication Date

8/4/2026

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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