Jiutong Yang
Papers
2
Total Citations
7
H-Index
2
About
Jiutong Yang is a rising researcher in the field of advanced electrical machine design, with a focus on permanent magnet synchronous machines (PMSMs) for high-performance applications like robotic joints. Their work centers on two critical challenges: thermal management under extreme conditions and multi-objective optimization for dynamic performance. Yang’s 2025 paper on temperature rise analysis in short-term high overload torque motors introduces a Lumped Parameter Thermal Network (LPTN) model that accounts for demagnetization and saturation—a novel approach for predicting thermal behavior in periodic overload scenarios. Their 2024 study on multiobjective optimization of PMSMs with equal pole and slot numbers pioneers a method to simultaneously enhance torque density, reduce torque ripple, and improve dynamic response, directly addressing the demands of robotics. Though early in their career, Yang’s contributions are already gaining traction, with citations from both papers reflecting growing interest in their practical, application-driven solutions. Their work is particularly notable for bridging the gap between theoretical motor design and real-world constraints like thermal limits and transient performance, making it essential reading for engineers developing next-generation actuation systems.
Research Focus
Key Achievements
Top Papers
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- 2