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- Creators: Takahashi, Timothy
To aid this research a library of feature fitting algorithms is developed in parallel. The library consists of least squares, Chebyshev and one sided fits applied on the features of line, plane, circle and cylinder. The proposed normative procedures are useful for evaluating tolerances in CMMs. The results evaluated will be in accordance to the standard. The ambiguity in choosing the algorithms is prevented. The software developed can be used in quality control for inspection purposes.
This work addresses this issue with a tool used to predict and calculate the Minimum Control Speed on the Ground (VMCG) as well as the Minimum Control Airspeed (VMCA) of any existing or design-stage airplane. With simple line art of an airplane, a program called VORLAX is used to generate an aerodynamic database used to calculate the stability derivatives of an airplane. Using another program called Numerical Propulsion System Simulation (NPSS), a propulsion database is generated to use with the aerodynamic database to calculate both VMCG and VMCA.
This tool was tested using two airplanes, the Airbus A320 and the Lockheed Martin C130J-30 Super Hercules. The A320 does not use an Automatic Thrust Control System (ATCS), whereas the C130J-30 does use an ATCS. The tool was able to properly calculate and match known values of VMCG and VMCA for both of the airplanes. The fact that this tool was able to calculate the known values of VMCG and VMCA for both airplanes means that this tool would be able to predict the VMCG and VMCA of an airplane in the preliminary stages of design. This would allow design engineers the ability to use an Automatic Thrust Control System (ATCS) as part of the design of an airplane and still have the ability to predict the VMCG and VMCA of the airplane.
A robust autopilot control system for a ground vehicle was designed, fabricated, and implemented on a remote control car. The autopilot system consists of navigation, guidance, and three controller subsystems. The autopilot’s hardware subsystems are an Arduino processor, GPS receiver, 9 DOF inertial measurement system, and an SD card data logger. A complete system simulation was developed and used to verify the integrated design and algorithms, prior to field testing. The simulation results indicated the system performs as designed, with no anomalous behaviors observed. Simulations were also used to assess and verify each of the three controllers’ robustness qualities. The complete hardware system was field tested and verified fully functional against complex mission scenarios. The system performed as designed, with no anomalous behaviors observed. The system performed successfully in the presence of external disturbances (e.g., rocks, holes, dirt piles in the vehicle’s path), which demonstrated and verified the design is robust. Additional robustness testing consisted of doubling the vehicle’s polar moment of inertia and verifying this did not have any adverse effects on system performance. All the planned tasks were completed and the project’s objectives were met.