Prof. yanxia Shen | Motor Control | Best Researcher Award
Prof. yanxia Shen | Motor Control- professor at Jiangnan University Internet of Things Engineering Institute, China
Prof. Yanxia Shen is a distinguished scholar and researcher in the field of electrical engineering, currently serving as a Professor at Jiangnan University, China. With a strong academic background and extensive research experience, she has made significant contributions to the development of fault-tolerant control systems, motor drives, and nonlinear control systems. Her work has been widely recognized in the academic and industrial sectors, particularly in the areas of wind energy conversion systems and power electronics. Over the years, she has collaborated with leading experts across the globe, including visiting positions at the University of California, Irvine, and Aalborg University, Denmark. Prof. Shen’s research excellence is reflected in her prolific publication record and numerous national invention patents.
Profile:
Scopus
Education:
Prof. Shen obtained her PhD from the China University of Mining and Technology in 2004, specializing in electrical and control engineering. Prior to that, she earned her Master of Engineering (ME) and Bachelor of Engineering (BEng) degrees from Wuxi University of Light Industry in 1998 and 1996, respectively. Her academic training has provided a strong foundation for her research in fault-tolerant control and nonlinear systems.
Experience:
With a robust career spanning academia and research, Prof. Shen has held various key positions in electrical engineering and control systems. She has worked extensively on projects related to fault-tolerant control of wind energy conversion systems, motor drives, and nonlinear control systems. Her international exposure includes research stints at the University of California, Irvine, and Aalborg University, Denmark, where she collaborated with eminent scholars in energy and power electronics. Her contributions to the field are evident through her role in authoring and co-authoring over 100 publications and securing ten national invention patents.
Research Interests:
Prof. Shen’s research is primarily focused on:
- Fault-tolerant control of wind energy conversion systems
- Advanced motor drive systems
- Nonlinear control strategies for industrial applications
- Intelligent control methods for energy efficiency Her work aims to enhance the reliability and efficiency of power and energy systems, addressing critical challenges in sustainable energy technologies.
Awards & Recognitions:
Throughout her illustrious career, Prof. Shen has been the recipient of numerous awards and honors. She has been recognized for her pioneering research in control systems and wind energy applications. Her contributions to academia and industry have been acknowledged through national and international accolades, solidifying her reputation as a leading researcher in the field.
Selected Publications 📚:
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Zhaoji Lu, Yanxia Shen, Yongqiang Tan (2024). Research on Fuzzy Insulator Image Restoration Method Based on Multi-Structure Fusion WGAN. Power System Protection and Control, 52(22), 166-175. [Cited by X]
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Yanxia Shen, Luo Changqian (2024). Sliding mode control of permanent magnet synchronous linear motor based on a novel super local model. Journal of Electrical Engineering, 19(03), 238-247. [Cited by X]
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Jiali Yang, Yanxia Shen, Yongqiang Tan (2024). Parameter Compensation for the Predictive Control System of a Permanent Magnet Synchronous Motor Based on Bacterial Foraging Optimization Algorithm. World Electr. Veh. J., 15, 23. [Cited by X]
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Yongqiang Tan, Yanxia Shen, Xinyan Yu, Xin Lu (2023). Low-carbon economic dispatch of combined heat and power-virtual power plants: A deep reinforcement learning-based approach. IET Renewable Power Generation, 17(04), 982-1007. [Cited by X]
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Xu W, Yanxia S (2019). Fault Tolerant Control of Wind Energy Conversion System Based on Augmented Observer. Energies, 12(4), 580. [Cited by X]
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Xu W, Yanxia S (2018). Fault-Tolerant Control Strategy of a Wind Energy Conversion System Considering Multiple Fault Reconstruction. Applied Sciences, 8(5), 794. [Cited by X]
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Yanxia Shen, Xu Wang, Jie Chen (2018). Wind Power Forecasting Using Multi-objective Evolutionary Algorithms for Wavelet Neural Network Optimized Prediction Intervals. Applied Sciences, 8(2), 185. [Cited by X]
Conclusion:
Prof. Yanxia Shen’s contributions to the field of electrical engineering and control systems have significantly advanced the understanding and application of fault-tolerant mechanisms in wind energy and motor drive technologies. Her dedication to academic excellence, innovative research, and collaboration with international institutions has cemented her position as a leading expert in the field. With a strong publication record and an unwavering commitment to advancing energy efficiency and control systems, she continues to inspire and influence future generations of researchers in electrical and power engineering.