Xin Li is a dedicated researcher and educator specializing in motor design, control systems, and UAV flight control. Currently a faculty member at the School of Automation at Shenyang Institute of Engineering, he has been actively involved in both theoretical and applied research. His work primarily focuses on the analysis and optimization of motor performance, with recent studies on leakage flux coefficients in arc motors. With over 10 academic publications and monographs, he has made notable contributions to the field. Xin Li has also played a key role in mentoring students, guiding them to success in innovation and entrepreneurship competitions at the provincial level, earning over 10 awards. His research expertise extends to leading and participating in five provincial-level scientific research projects. In recognition of his contributions, he has received funding from the Liaoning Huanghai Laboratory Open Innovation Fund. With a strong foundation in electrical engineering and automation, Xin Li continues to explore advancements in power electronics and UAV control systems, aiming to develop more efficient and intelligent automation technologies. His commitment to research, education, and innovation positions him as a rising expert in the field of automation and motor control.
Professional Profile
Education
Xin Li holds a master’s degree from Shenyang Polytechnic School, where he specialized in electrical engineering and automation. He completed his postgraduate studies between 2017 and 2020, focusing on advanced motor control techniques and automation system design. Prior to that, he earned his undergraduate degree from Shenyang University of Technology in 2016. His academic journey has provided him with a strong technical foundation in electrical machines, motor design, control systems, and power electronics. Throughout his education, Xin Li developed a deep interest in motor performance optimization, which later became a key area of his research. His studies also involved hands-on experience in motor testing, control algorithms, and automation technologies, equipping him with the necessary skills to contribute meaningfully to the field. His commitment to continuous learning and research has led him to actively participate in provincial research projects and academic conferences, further expanding his expertise in electrical engineering. By combining theoretical knowledge with practical applications, he has positioned himself as an expert in designing and improving motor control systems, particularly for applications in UAV flight control and industrial automation.
Professional Experience
Xin Li has been serving as a lecturer at the School of Automation at Shenyang Institute of Engineering since 2022. In this role, he is actively engaged in teaching, research, and mentoring students in power electronic technology and automation-related courses. His expertise in motor design and UAV control has allowed him to contribute to innovative research in these fields. He has led and participated in five provincial scientific research projects, demonstrating his ability to manage and execute research initiatives effectively. His work primarily revolves around improving the efficiency of electrical machines and optimizing control algorithms for UAV flight stability. Xin Li’s involvement in academic publishing has resulted in over 10 publications in journals and conference proceedings, with notable research on leakage flux coefficient calculations for arc motors. Additionally, he has played an integral role in guiding students in innovation and entrepreneurship competitions, where they have won over 10 awards under his mentorship. His ability to bridge the gap between theoretical research and real-world applications showcases his strong potential as a leading researcher in automation and electrical engineering. By expanding his research collaborations and industry partnerships, he can further enhance his contributions to the field.
Research Interests
Xin Li’s research interests lie in the fields of motor design, control systems, and UAV flight control. His studies focus on the optimization of electrical machines, particularly the calculation of leakage flux coefficients for arc motors, which is critical in improving motor performance and efficiency. He is also deeply involved in UAV flight control, working on advanced control algorithms to enhance the stability and maneuverability of quadrotor drones. His research aims to integrate intelligent automation techniques with motor control systems, making them more reliable and energy-efficient. Xin Li is particularly interested in exploring AI-driven control methodologies for UAVs and electric motors, which could lead to further advancements in automation technology. His work contributes to industrial automation, renewable energy applications, and the development of more efficient propulsion systems for UAVs. By focusing on practical applications, he seeks to bridge the gap between academic research and real-world engineering challenges. Moving forward, Xin Li aims to expand his research into adaptive control mechanisms for smart motors and UAVs, contributing to the advancement of next-generation automation systems. His research has significant implications for improving energy efficiency and control precision in electrical and mechanical systems.
Research Skills
Xin Li possesses strong expertise in motor control, power electronics, and automation technologies. His proficiency in motor design includes in-depth knowledge of electromagnetic field analysis, leakage flux calculations, and optimization of electrical machine performance. His research has involved experimental validation of motor efficiency enhancements, demonstrating his ability to apply theoretical principles to real-world engineering problems. In addition to his motor research, he is skilled in UAV flight control, specializing in stability control algorithms for quadrotor drones. His technical skills also extend to computational modeling, data analysis, and simulation of electrical systems. Xin Li has experience with software tools used for motor simulation and control system analysis, making him proficient in both hardware and software aspects of automation engineering. His ability to integrate machine learning techniques with motor control further enhances his research capabilities. Furthermore, his role in academic publishing and project leadership demonstrates strong communication and project management skills. His ability to mentor students and lead research teams makes him a valuable contributor to academia. Strengthening his collaborations with international research groups and industry partners would further enhance the impact of his work in electrical and automation engineering.
Awards and Honors
Xin Li has been recognized for his contributions to research and student mentorship through multiple awards. Under his guidance, students have achieved over 10 awards in provincial innovation and entrepreneurship competitions, reflecting his dedication to academic excellence and applied research. His research projects have also been supported by the Liaoning Huanghai Laboratory Open Innovation Fund, which acknowledges the significance of his work in motor design and control systems. Additionally, his publications in journals and conferences have contributed to the advancement of motor performance analysis and UAV control technologies. Although he has not yet received major international research awards, his work demonstrates strong potential for future recognition in the field of automation and electrical engineering. By furthering his research impact through high-impact journal publications and securing patents for his innovations, he could gain additional recognition at both national and international levels. His contributions to the academic community and his ability to drive innovation in motor control and UAV automation make him a strong candidate for research awards in automation and engineering sciences. His continued dedication to research excellence will likely result in further prestigious honors in the future.
Conclusion
Xin Li is an emerging researcher in the field of motor design and UAV control, with significant contributions to automation and electrical engineering. His research on optimizing motor efficiency and improving UAV flight stability has practical applications in industrial automation and aerospace technology. His leadership in research projects, academic publishing, and student mentorship highlights his dedication to advancing the field. While he has made notable contributions, expanding his research collaborations, increasing high-impact journal publications, and developing industry partnerships will further enhance his career. His ability to integrate theoretical knowledge with practical applications positions him as a valuable contributor to electrical engineering research. With continued focus on innovation, Xin Li has the potential to achieve greater recognition and contribute significantly to the future of smart automation systems. His work aligns with the evolving needs of modern engineering, making him a strong candidate for future research awards and honors.
Publications Top Notes
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Title: Analysis and Calculation of No‐Load Leakage Flux Coefficient for Arc Motors
Authors: YuTong Wang, Xin Li, XiaoQing Li, Yi Sun, HaoMing Qu, QunYuan Li, JiaRen Xu
Year: 2025
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Title: Calculation of leakage coefficient of axial flux arc motor
Authors: Xin Li, Hongkui Yan, Jiaxin Li, Qing Ma, Yiming Peng, Zhenhua Zhan, Hengjia Shi, Qihang Li, Zhicheng Guo
Year: 2023