A three-stage series model predictive torque and flux control system based on fast optimal voltage vector selection for more electric aircraft

With the development of More Electric Aircraft (MEA), the Permanent Magnet Synchronous Motor (PMSM) is widely used in the MEA field. The PMSM control system of MEA needs to consider the system reliability, and the inverter switching frequency of the inverter is one of the impacting factors. At the same time, the control accuracy of the system also needs to be considered, and the torque ripple and flux ripple are usually considered to be its important indexes. This paper proposes a three-stage series Model Predictive Torque and Flux Control system (three-stage series MPTFC) based on fast optimal voltage vector selection to reduce switching frequency and suppress torque ripple and flux ripple. Firstly, the analytical model of the PMSM is established and the multi-stage series control method is used to reduce the switching frequency. Secondly, selectable voltage vectors are extended from 8 to 26 and a fast selection method for optimal voltage vector sectors is designed based on the hysteresis comparator, which can suppress the torque ripple and flux ripple to improve the control accuracy. Thirdly, a three-stage series control is obtained by expanding the two-stage series control using the P-Q torque decomposition theory. Finally, a model predictive torque and flux control experimental platform is built, and the feasibility and effectiveness of this method are verified through comparison experiments.