A New Nonlinear Model Predictive Control Algorithm Using Differential Transformation with Application to Interplanetary Low-Thrust Trajectory Tracking

摘要

A nonlinear model predictive control algorithm (NMPC) is proposed that incorporates a novel differential transformation (DT) based algorithm for the repeated computation of the open-loop optimal control problem. This DT method converts the two-point boundary value problem from the indirect optimization approach into a set of algebraic equations, which is a less computationally expensive way of solving the open-loop problem. The new NMPC algorithm is applied to an interplanetary low-thrust trajectory tracking problem.