A Framework for Evaluating Distributed Electric Propulsion on the SUSAN Electrofan Aircraft

This work presents a framework for evaluating models and algorithms for Distributed Electric Propulsion (DEP) on the SUSAN Electrofan Aircraft.
Throughout the development of the SUSAN aircraft, the performance of various configurations of the aircraft will need to be analyzed.
However, the static behavior alone is not sufficient to describe the performance of these configurations.
Therefore, simulation with fully integrated subsystem models is required.
The proposed framework considers the vehicle aerodynamic, propulsion, and control subsystems.
The presented framework automatically generates control laws for any vehicle configuration in response to changes in these subsystems.
To compare these different vehicle configurations, various time and frequency domain performance metrics are compared.

Three different system modifications are used as cases to evaluate this framework.
The first modification integrates the propulsion control system with the flight controller to enable differential thrust without stalling the main engine.
This evaluation case is used to validate the framework for aircraft configurations with coupled subsystems.
The second modification compares the effect of the vertical tail size on open and closed loop performance.
This evaluation case is used to validate the framework for controlling different configurations and tuning towards comparable closed loop performance despite changes to the aircraft's aerodynamic model.
The third modification implements two different control allocation schemes.
This evaluation case demonstrates the framework's ability to evaluate allocation modifications needed to take advantage of DEP.

The first evaluation case is used to show that controller integration enables differential thrust, improving realized wingfan bandwidth by up to 40\% in simulation.
The second evaluation case demonstrates that the framework can stabilize the reduced tail size aircraft with closed loop control.
The third evaluation case demonstrates that a pseudoinverse control allocation scheme improves lateral velocity settling time by approximately 17~seconds over a symmetric-thrust allocation.
These cases show that the framework is useful for evaluating the performance of integrated system designs, enabling analyses of new models and algorithms for the SUSAN distributed electric propulsion vehicle.