We have developed a general numerical approach to lifting-line theory that can be use for wings with sweep and dihedral. The traditional formulation does not converge if the quarter-chord is not straight. This formulation solves that problem and has been tested against other solutions.
The elliptic lift distribution is only one optimal lift distribution. It ignores the influence of any structural constraints. We have found a family of analytic optimal lift distributions that minimize induced drag with structural and other operating constraints. These distributions match very favorably with high-fidelity optimization results.
Using thin-airfoil theory and vortex-panel methods, we have demonstrated that conformal flaps can have significant advantages over traditional articulated flaps in terms of flap effectiveness and lift-to-drag ratios in specific operating conditions.
Python and web versions available.
Unstructured meshes
Fortran for very fast computational speeds
Visualization using ParaView
Unstructured meshes
Fortran for very fast computational speeds
Visualization using ParaView
We have shown that by designing wing twist to produce a specific lift distribution, and coupling that with proper aileron sizing and placement, aileron deflection can produce proverse or neutral yaw. This is not possible on a perfectly elliptic lift distribution. However, other optimal lift distributions can be used in conjunction with proper aileron design to produce proverse or neutral yaw.
The traditional dimensionless formulation of the equations of motion uses aerodynamic scaling for the dimensionless parameters. However, these parameters (mean chord, wing span, wing area) have little to do with the dynamic scaling. We have developed an alternate set of dimensionless parameters based on the physics of the dynamic system. The usefulness of this set of parameters is an active area of investigation for our group.
We have developed an analytic solution for computing the volume, center of gravity, and inertia tensor of finite wings and rotors of constant density. This is very useful in the initial stages of design, when estimates for aircraft inertial properties are needed but CAD geometry may not yet be available.
We have developed in-house 6 DoF flight simulation software that is very versatile for simulating a wide range of vehicle designs. The software has the following properties:
Accepts arbitrary aerodynamic models with arbitrary types of controls
Emulates on-board sensors including IMU, Pitot Propbe, GPS, and aerodynamic angle sensors with error
Control and other I/O through UDP
Atmospheric gradients and turbulence
Real-time or faster
C++ implementation
Extensive documentation available
We have developed a visualization tool for flight simulation that communicates over UDP with the physics simulator. The visualization tool has the following properties:
Reads aircraft states real-time from physics engine
Streams in Google Earth topology and buildings
We have developed a custom flight-testing architecture using off-the-shelf components along with a custom PCB board for connections and power routing. The full hardware setup weighs about 80 g and has the following properties:
DSMX send pilot commands from ground to onboard computer
Onboard computers include 2 Teensy Boards, one for communication and one for control-law computations
IMU, GPS, and Pitot probe sensors feed directly to conrol-law board
Mavlink protocol used to send real-time data to ground station
Custom ground station for real-time data visualization
We have developed the following two 3D printable aircraft, which we have made available for free on Thingiverse.
Manta
4 ft wingspan
4 lbf total weight
Pusher prop
We developed four control laws that used the 11 actuators on the aircraft to control varying levels of roll, pitch, and yaw as commanded from the pilot.
Mode 1 (Safety)
Control surfaces act in unison as elevons.
Mode 2
Minimum drag with prescribed rolling rate and pitching moment.
Mode 3
Minimum drag and zero yawing moment with prescribed rolling rate and pitching moment.
Mode 4
Minimum drag with prescribed rolling rate, pitching moment, and yawing moment.
Birds control lateral maneuvers without a vertical tail. The goal of this project is to evaluate whether aircraft can be controlled with a bio-inspired rotating empennage (rotating horizontal tail).
We have developed a full aerodynamic model of the BIRE as a function of the tail rotation. Most traditional coefficients typically constant below stall of traditional aircraft are a sinusoidal function of BIRE tail rotation angle for this aircraft.
We developed a flight simulator for the baseline F-16 from experimental data published by NASA, as well as a simulator for the BIRE aircraft. A simulation framework similar to this is used to test the control algorithms before we go to flight testing.
We have developed an online game for K-12 students to learn about aircraft design. The game is called WingCraft
We've had over 25 graduate students come through the lab. They have ended up in great positions all over the USA.