Jsbsim Tutorial (2025)

The X‑1 lifts off at 45 knots, climbs, then slowly rolls left due to an asymmetric thrust he forgot to model. Alex corrects by adding a trim tab definition under <flight_control><channel name="roll"> .

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'])

She also runs a stability analysis using JSBSim’s --output=stability flag, which generates eigenvalues. “Look – your dutch roll mode is barely damped. Increase vertical tail area in <metrics> .”

jsbsim --script=scripts/x1_test.xml The script: set prop/engine[0]/running 1 , set fcs/throttle-cmd-norm 0.7 , run 30 . jsbsim tutorial

The first section: <?xml version="1.0"?> followed by <fdm_config> .

Alex fixes everything, re‑runs the full envelope: stalls, spins, engine‑out, crosswind landing. All pass.

Alex launches FlightGear: fgfs --fdm=jsbsim --aircraft=x1 . The X‑1 appears on the runway, virtual sun glinting. He takes off, and for the first time, the simulation looks and feels alive . The X‑1 lifts off at 45 knots, climbs,

<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:

Why? The PID gains were tuned for a Cessna, not the X‑1’s high‑lift wing.

The Python interface is key for iterative testing, Monte Carlo runs, or coupling JSBSim with external autopilots, sensor models, or wind fields. No need for XML scripts once you learn the property system. Part 7: The Handoff – Debugging the Real Thing Morning. Maya reviews Alex’s model. “Look – your dutch roll mode is barely damped

<propulsion> <engine file="Rotax912"> <location> 0 0 0 </location> </engine> <propeller file="fixed_pitch"> <ixx> 0.2 </ixx> <diameter> 1.6 </diameter> <num_blades> 2 </num_blades> </propeller> </propulsion> He writes a taxi script: throttle 0.3, release brakes, wait 10 seconds, full rudder right.

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.

Output: pitch oscillation increases. Diverges. Crash.

“But how do I even fly it?” Alex asks.

Maya smiles. “You don’t fly it. You build the laws of physics for it. JSBSim is a library—a simulation engine. It takes an XML model and outputs time‑step states: position, orientation, velocities. You visualize separately.”