01
Design in Simulink
Design and tune your controller entirely in a pure Simulink environment first — no hardware risk while you're still getting the theory right.
The Curriculum
Every experiment follows
the same five-stage structure
02
Deploy to STM32
Auto-generate code and flash it to the real flight-controller board. The same model now runs against a physical testbed inside the HIL rig.
03
Inject a fault & measure
Trigger a standard fault live, record how the controller responds, and get an auto-generated performance report against a clear pass threshold.
L1 — Classical PID
Build the flight-control intuition: design and tune a cascaded PID attitude controller, then watch it hold together as motor thrust degrades.
Learn MoreL1 — Classical PIDL2 — LQR & State Feedback
Cross into state-space control. Design an LQR regulator, meet the fixed-wing platform for the first time, and estimate the states you can't measure directly.
Learn MoreL2 — LQR & State FeedbackL3 — Sliding Mode Control
Design a sliding surface from a Lyapunov argument, feel chattering with your own hands on real actuators, and measure robustness that PID and LQR can't match.
Learn MoreL3 — Sliding Mode ControlL4 — Gain Scheduling to LPV
Discover why a single fixed controller isn't enough across the flight envelope, then replace hand-tuned gain scheduling with a formally-guaranteed LPV controller.
Learn MoreL4 — Gain Scheduling to LPVL5 — LPV-SMC & Active Fault Tolerance
The platform's signature level: close the loop on fault detection, isolation, and active reconfiguration, combining every tool from L1-L4 into one working fault-tolerant flight controller.
Learn MoreL5 — LPV-SMC & Active Fault Tolerance