Power-Constrained Design Optimization of PM Machines for Low-Power Low-Voltage and High-Torque Applications

초록

In the design of permanent magnet (PM) machines, a highly sophisticated performance calculation is required, particularly for low-power operation. This is due to a significant amount of input power being consumed by the winding copper loss. This article presents an accurate analytical model and design optimization of PM machines that are best suited for low-power, low-voltage, and high-torque applications. The proposed analytical model possesses three distinguishing features in that: 1) an experimental-based thermal analysis is proposed for the accurate prediction of temperature rise and power dissipation; 2) a noniterative approach is introduced to calculate winding turns, which is suitable for low-voltage conditions; and 3) a novel method to determine the tooth width is presented by reflecting the effects of armature reaction field shifting. Subsequently, the gray wolf optimizer (GWO), a nature-inspired metaheuristic algorithm, is applied to the developed analytical model to search for Pareto-optimal solutions while satisfying the stringent power condition. Finally, the accuracy of the proposed analytical model is validated by finite element (FE) and experimental results.

키워드