Development of advanced motor control algorithms to enhance motor driving characteristics 

• Traction Motors: Used in automobiles and railway vehicles

• Micro Drive Systems: Applied in medical devices

• Precision Motor Control: Utilizing variable sampling techniques

• Torque Ripple Mitigation: Addressing motor nonlinearity for smoother operation

• Increasing attention due to the adoption of wide-bandgap semiconductors

• Enables higher power efficiency, reduced size & weight, and lower cost

• Inductive Power Transfer (IPT)

• Capacitive Power Transfer (CPT)

• Wireless Phone Chargers

• Ropeless Elevators

• On-Board EV Chargers

• Torque ripple reduction using artificial neural networks (ANNs)

• Replacing traditional sensorless methods with machine learning-based estimations 

• Eliminates the need for temperature sensors, improving reliability and reducing costs 

• Fault classification and abnormality detection using machine learning

• Applied to industrial 6-axis robots and electric vehicle drive systems

• Enhances system reliability by enabling early failure detection

• Utilizing SiC (Silicon Carbide) and GaN (Gallium Nitride) switches

• Achieving operating frequencies in the tens of MHz

• Higher switching frequency reduces the size of inductors and capacitors

• Enables the use of air-core inductors, eliminating iron losses

• Reducing switching losses and electromagnetic noise

• Research on soft-switching conditions, design methodologies, and control strategies

• Adapting control methods based on load operating points

• Wireless mobile phone chargers

• Plasma systems in semiconductor manufacturing