This paper investigates a novel method for high
fidelity aircraft trajectory optimization based on numeric
nonlinear dynamic inversion (NDI). The problem formulation
exploits the fact that NDI yields a nonlinear feedback strategy
such that the resulting closed loop dynamics show a linear
input-output relation. By means of linear reference models for
the different dynamic levels of the aircraft dynamics we are
then free to choose the aircraft’s dynamic behavior within the
physical limits. Due to the reduced nonlinearity when choosing
linear reference models, the solution of the direct optimal
control problem is facilitated compared to the fully nonlinear
case. The main contribution of this paper is a constraint
formulation suitable for optimal control problem problems, which inverts the dynamic equations numerically. This fact
makes the approach not specific to certain model equations but
applicable for a wide class of aircraft dynamics. The approach
is illustrated by the trajectory optimization for an air race track
utilizing a highly agile aircraft model. For this example we use
the fully nonlinear rigid body aircraft model including second
order actuator dynamics for the primary control surfaces. The
approach show good performance and despite the altered model
dynamics the numeric NDI assisted controller yields close to
optimal lap times compared to the direct solution of the optimal
control problem.
Index Terms—Dynamic Inversion, Optimal Control, Aircraft
Control, Trajectory Optimization.
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