Guidance, Navigation, and Control
Use guidance model objects and blocks to calculate the state vectors of fixed-wing and multirotor UAV models that are subjected to environmental and control inputs. Use navigation algorithms to manage UAV paths during missions, and to calculate control inputs for waypoint following and orbit missions.
Objects
Functions
Blocks
| Path Manager | Compute and execute a UAV autonomous mission |
| Orbit Follower | Orbit location of interest using UAV |
| Waypoint Follower | Follow waypoints for UAV |
| Guidance Model | Reduced-order model for UAV |
| Multi-Instance Guidance Model | Reduced-order model for multiple UAVs (Since R2025a) |
| Fixed-Wing UAV Point Mass | Integrate fourth- or sixth-order point mass equations of motion in coordinated flight |
Topics
- Simulate Multiple Fixed-Wing UAVs in Simulink Using System Objects
Simulate multiple UAVs flying in a waypoint following mission using Simulink®.
- Improve UAV Position Estimation with Kalman Filter
Create a basic Kalman Filter to estimate UAV position.
- UAV Navigation in Unknown Environment with 2D Lidar SLAM
Simultaneously navigate and create map of an unknown environment using 2D LIDAR SLAM.
- Tune Control Design for VTOL UAV in Hover Configuration
Tune the hover flight control of a VTOL UAV.
- Tune Hover Control Design for VTOL UAV in Steady Wind Condition
Tune the hover flight control of a VTOL UAV in steady wind conditions.
- Multiloop Control Design for VTOL UAV in Fixed Wing Configuration
Tune the fixed-wing flight controller of a VTOL UAV.
- Tune Control Design for VTOL UAV in Transition
Tune the transition controller of a VTOL UAV for transitioning between hovering and fixed-wing flight.
Featured Examples
UAV In-flight Failure Recovery
Use Control System Tuner to tune the fixed-structure PID controllers of a multicopter for nominal flight conditions and fault conditions. Here, you use a gain-scheduled approach to recover from a single rotor failure and land the UAV.
PID Autotuning for UAV Quadcopter
Tune quadcopter attitude and position PID controllers by using the Closed-Loop PID Autotuner block.
Transition from Low- to High-Fidelity UAV Models in Three Stages
Evolve your UAV plant model continuously to stay in sync with the latest information available.
Tuning Waypoint Following Controller for Fixed-Wing UAV
Design and tune a waypoint following controller for a fixed-wing UAV by using the Guidance Model and Waypoint Follower blocks.
Control a Simulated UAV Using ROS 2 and PX4 Bridge
Receive sensor readings and autopilot status from PX4® autopilot and send control commands to navigate a simulated UAV.
Approximate High-Fidelity UAV Model with UAV Guidance Model Block
Prototype and tune a waypoint following navigation system by using a reduced-order model for UAV.
