Constrained Model Predictive Control of a Nonlinear Aerospace System

摘要

Recent research efforts have applied the receding horizon Model PredictiveControl (MPC) strategy to linearized high performance aerospace systems. The research contained in this thesis used these recent results in order to apply the MPC strategy to a nonlinear high performance aerospace system, specifically an F-16 fighter aircraft model. The model was commanded to follow dynamic trajectories of roll angle and altitude. Further, adaptive constraint techniques were used to improve system tracking. To accomplish these tasks, code and block diagrams were generated using the commercial software packages of Matlab and Simulink. Numerous simulations were conducted with the goal of achieving realistic aircraft performance. In many cases, to improve system tracking and reduce control input oscillations, rigid mathematical constraints previously used in the MPC strategy were relaxed.