A Model Predictive Control Strategy for the VFAC Generation System of More Electric Aircraft

With the continuous improvement of more electric aircraft (MEA) performance, the power demand of aircraft systems will continue to grow exponentially. The Variable Frequency Alternating Current (VFAC) power generation system, as one of the large capacity power supply systems in MEA, has the advantages of high reliability, high efficiency, and high power density. However, due to the complex system parameters of the VFAC system, the traditional Proportion Integral Differential (PID) control algorithms are difficult to meet the dynamic requirements of its internal three-stage power generation system. This paper focuses on the high-voltage Direct Current (DC) power supply system of MEA, taking the DC output of the aviation three-stage brushless synchronous generator after rectification as the control object. A voltage regulation control algorithm based on the finite-control-set model predictive control (FCS-MPC) is proposed. A digital model of the voltage regulation system is established, and the adaptability of the FCS-MPC algorithm in the three-stage power generation system is verified through simulation tests with load variations, which can effectively improve the stability and regulation performance of the generation system, providing an alternative design solution for the Generator Control Unit (GCU) used in the VFAC power system.