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PROJECT / 002 / experiment

AirSim Control Experiments

Drone gate-traversal and control experiments using PID feedback, spline-based paths, and flight-data analysis in AirSim.

Year
2025
Context
Public Python repository
Role
Python + controls experimentation
  • Python
  • AirSim
  • PID control
  • Data analysis
Source repository Purdue research record

This repository records Python experiments in drone gate traversal, PID control, spline-based path generation, and flight-data analysis using AirSim. It contains several control and trajectory approaches alongside tools for collecting metrics and plotting flights.

Drone trajectory control-space sketchA diagrammatic flight path moves through three gates on a coordinate grid. This is an editorial illustration, not recorded flight data.STARTTARGET
CONTROL SPACE / STUDY

Gate sequence, target trajectory, and controller response—an editorial illustration, not recorded flight data.

What the repository shows

The work explores how a simulated drone can move through ordered gates while control parameters, interpolated paths, velocity, and resulting flight data are iterated together. NumPy, SciPy, and Matplotlib support the numerical and analysis side of the experiments.

Context, carefully stated

Purdue separately lists Gautam as a contributing author on the 2025 undergraduate-research presentation “SWARMS: Multi-Agent Control Simulation.” The dates and subject matter overlap, but no inspected public source explicitly ties this repository to that presentation.

Until that relationship and Gautam’s subsystem ownership are confirmed, this page presents only what the repository itself supports. It does not claim that these single-drone experiments constituted the project’s broader multi-agent system.