jsbsim

Combines JSBSim and Airsim with a python module to simulate a fixedwing

Fixed Wing Flight Simulation Environment for Reinforcement Learning

An JSBSim environment for reinforcement learning, original from https://github.com/Gor-Ren/gym-jsbsim

This research contains formulation and implementation of LQR (Linear Quadratic Regulator) Guidance for ship based net recovery of fixed wing UAVs

Takes a JSBSim xml file as input and converts all the tables to PNG images

Import and visualize JSBSim FDM aircraft XML metrics inside Blender

Deep reinforcement learning for 6-DOF UAV guidance-to-intercept against maneuvering targets using meta-RL (RL²) with RecurrentPPO and JSBSim flight dynamics.

A progressive project that aims to bring accurate simulation of the Mooney M20M Bravo for the open source flight simulator, FlightGear

Built on JSBSim, a high-fidelity swarm drone beyond-visual-range (BVR) air combat simulation platform features 6-DOF flight dynamics, credible AIM-120C-5 missile physics, non-ideal perception with distance-scaled noise, absolute-state Kalman filter, parallel sandboxed strategies, and Tacview-compatible ACMI replay for validating strategy robustness

JSBSim 1.3.0's F-16 as a hand-written CUDA kernel: 2.95 billion aircraft-frames/s on one GPU, verified frame by frame against JSBSim

JSBSim XML Generator for RC UAV (Excel/FMS→JSBSim) | NON-COMMERCIAL USE ONLY | Code: CC BY-NC-SA 4.0, Docs: All Rights Reserved

Aerospace system identification, model validation & uncertainty quantification in Python. Fit ODE models to flight-test data with error bars, Kalman filtering, Bayesian inference, optimal experiment design, and JSBSim/RocketPy/AeroSandbox adapters, what the data says the vehicle really is.

Flight-testing a fruit-fly connectome (FlyWire v783, spiking model) as a simulated aircraft yaw damper: frequency response, margins, turbulence, lesions, vs rewired controls

This repository is used to store an implementation of a autopilot as described in my blog post.

A Graphical User Interface for JSBSim

High-Fidelity Digital Twin for Aircraft Flight Control System Validation Using LSTM Autoencoder-Based Fault Detection and Real-Time Monitoring

Autonomous VTOL quadplane for coconut-plantation surveillance: airfoil aerodynamics, FreeCAD airframe model, and ArduPilot SITL + JSBSim/Gazebo flight simulation.

EW-Resilient Autonomous Threat Estimation & Multi-Sensor Fusion Engine using Cross-Attention Transformers, PINN & JSBSim 6-DoF Dynamics.