Roadmap

Ideas and design concepts for future development of avl-aero-tables.

Note

Nothing on this page is implemented yet. These are proposals and sketches only.

UI Concept

The sketch below outlines a potential graphical interface — a browser-based or desktop UI for setting up geometry, configuring sweeps, and exploring aero database results without writing Python directly.

Planned features

• scipy interpolation: add scipy.interpolate.RegularGridInterpolator support to AeroDatabase so users can query coefficients at arbitrary (alpha, beta, defl) points between breakpoints. The numpy arrays in StabTable and CtrlTable are already shaped correctly for RegularGridInterpolator. Expose as an interpolate(coef, alpha, beta, defl=0.0) method or standalone helper.

• Versioned docs: sphinx-multiversion to build a separate HTML tree per git tag with a version-switcher dropdown on the docs site.

• Expose velocity and density in make_run_reset: currently hardcoded to 0.0 and 1.0 respectively. Add them as keyword arguments so users can set airspeed and dynamic pressure for dimensional force output. Mach is already a parameter.

• Multi-format export: add export targets to aero_filewrite beyond the current pandas/CSV path.

  • .mat via scipy.io.savemat — writes AeroDatabase as a MATLAB struct for direct use in Simulink lookup tables. StabTable and CtrlTable numpy arrays map cleanly to struct fields.

  • .h5 via h5py — HDF5 as the Python-native equivalent. Preserves hierarchy (/stab/CLtot, /ctrl/aileron/CLtot, /breakpoints/alpha, etc.) and is readable from MATLAB via h5read. Suitable for post-processing in Python without a MATLAB install.

  • Expose as aero_filewrite(results, path, fmt="mat"|"h5") or standalone aero_to_mat / aero_to_hdf5 helpers.