An Energy Efficient and Excitation Control of Single-Phase Induction Motors

Overview

This research focuses on enhancing the energy efficiency of single-phase induction motors (SPIMs), which are widely used in appliances such as air conditioners, HVAC systems, and refrigerators. Given the rising cost of electricity, the project aims to develop an improved, sensor-less optimal speed control strategy that ensures symmetrical and balanced operation across various speed ranges, thereby minimizing power consumption and performance degradation.

A novel phase-shift algorithm has been introduced to efficiently implement this optimal control strategy, with simulation and practical verification confirming its energy-saving potential. Additionally, the study proposes a new framework for soft-starting SPIMs at low frequencies, addressing the common issue of reduced starting torque. Future work will extend the research to include deep reinforcement learning-based control algorithms for managing complex and dynamic SPIM systems, particularly in large-scale HVAC applications.