ABSTRACT

Single-phase induction motors (SPIMs) are commonly used in domestic and industrial applications because of their robustness, low power rating, and simple input power requirement. Due to their widespread application, the dynamic performance and efficiency at the operating point have become vital to ensure energy conservation. This paper is aimed to optimise both the dynamic performance and efficiency of SPIM for water pump application at rated speed. Multi-objective optimisation is performed by employing the genetic algorithm using a Maxwell-2D transient solver. The analysis presents the comparison between the optimised and basic motor designs while considering various manufacturing constraints. The study proposes a framework for performance enhancement of SPIM while verifying the optimal solution through sensitivity analysis. The obtained results show the high performance of optimised SPIM design with a 17% increase in efficiency compared to the basic motor.

摘要

单相感应电机 (SPIM) 因其坚固性、低额定功率和简单的输入功率要求而常用于家庭和工业应用中。由于它们的广泛应用，工作点的动态性能和效率对于确保节能至关重要。本文旨在针对额定转速下的水泵应用优化 SPIM 的动态性能和效率。通过使用 Maxwell-2D 瞬态求解器的遗传算法执行多目标优化。该分析在考虑各种制造限制的情况下比较了优化和基本电机设计。该研究提出了一种提高SPIM性能的框架，同时通过敏感性分析验证了最优解。