JSBSim outputs time‑step data to x1_taxi.csv . Alex plots yaw vs time. Works perfectly – the aircraft turns, gear compresses, no oscillation.
Use jsbsim --realtime --nice --logdirectivefile=output.xml to stream data to a log. Then visualize with Python, MATLAB, or even a simple 3D viewer like JSBView (old but useful). Part 6: The First Virtual Flight – A Story Within a Story It’s 2 AM. Alex decides to fly the X‑1 in a loop using JSBSim’s built‑in FGSimulator (a minimal integrator) via Python binding. jsbsim tutorial
She opens the XML and says, “Good. But you forgot Reynolds number effects on your lift curve – it’s a small wing. And your propeller efficiency table is for sea level only. Add <function> inside propeller definition to scale with density.” JSBSim outputs time‑step data to x1_taxi
At 5 PM, Maya hands him a FlightGear configuration file that references x1.xml . “Now go see your aircraft fly for real.” Use jsbsim --realtime --nice --logdirectivefile=output
import jsbsim fdm = jsbsim.FGFDMExec() fdm.load_model('x1') fdm['propulsion/engine[0]/running'] = 1 fdm['fcs/throttle-cmd-norm'] = 1.0 for t in range(1000): fdm.Run() if t == 200: fdm['fcs/elevator-cmd-norm'] = -0.3 # pitch up print(fdm['position/h-sl-ft'], fdm['attitude/theta-deg'])
<flight_control name="FCS"> <channel name="pitch"> <pid name="elevator_pid"> <kp> 0.8 </kp> <ki> 0.05 </ki> <kd> 0.2 </kd> <input> aero/qbar-psf </input> <!-- dynamic pressure --> <output> fcs/elevator-cmd-norm </output> </pid> </channel> </flight_control> He runs a quick test using JSBSim’s command‑line tool:
Alex adds landing gear: