PhD - Huayu Li - Integration of Self-Sensing Control Strategies in the Model Predictive Direct Torque Control of Salient-Pole Permanent-Magnet Synchronous Machine Drives

Integration of Self-Sensing Control Strategies in the Model Predictive Direct Torque Control of Salient-Pole Permanent-Magnet Synchronous Machine Drives

Summary

Climate change and global warming have become serious issues for the mankind. The greenhouse gas, such as CO2, is one of main contributors to these concerns. In order to achieve a balance between anthropogenic emissions by sources and removals by sinks of greenhouse gas, the Paris Agreement, which is an agreement within the United Nations Framework Convention on Climate Change, was adopted by consensus on 12 December 2015. The electricity, which is the power source of the electric machine, can be generated by thermal power (coal and oil), solar power, wind power, oceanic power, hydropower and nuclear power. Except for the thermal power, the electricity generation methods produce limited CO2. In addition, the electric machine owns higher energy conversion efficiency than the internal combustion engine. Therefore, electric vehicle, electric ship and electric aircraft are becoming promising solutions for CO2 emission reduction.

The permanent magnet synchronous machine is widely used in electric transportations due to its many advantages, such as high power density and high efficiency. This research work aims at solving problems in the application of permanent magnet synchronous machines in electric transportations. The main scientific goals of this research work are sensorless control of permanent magnet synchronous machine, machine parameters identification and reducing effect of non-ideal factors on machine drives. The study on improving the drive performance of PMSM will contribute to the generalization of the electric transportations.

Supervisors

Frederik De Belie (UGent-FlandersMake)

Jan Melkebeek (UGent)