A Disturbance Observer Based Model Predictive Control for Disturbance Suppression of Electric Aircraft Electric Propulsion System

In order to reduce the impact of external disturbances on the electric propulsion permanent magnet synchronous motor (PMSM) system of electric aircraft, a model predictive control (MPC) optimization algorithm based on nonlinear disturbance observer is proposed. In this paper, the model predictive controller of permanent magnet synchronous motor is firstly used to calculate the expected voltage vector, and a nonlinear disturbance observer is added on this basis to observe and compensate the system disturbance caused by parameter changes and external environment. At the same time, considering the problem that the effect of disturbance compensation is reduced due to the long calculation time of MPC, the observed values are substituted into the MPC evaluation formula, the factors affecting disturbance compensation are extracted, and the compensation coefficients are adjusted to strengthen the effect of disturbance compensation. The simulation results verify that the method can effectively reduce the disturbance amplitude and adjustment time.