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Setting up ROSplane in Sim

This tutorial guides you through setting up ROSplane, the fixed-wing autopilot system, in simulation. ROSplane provides autonomous flight capabilities for fixed-wing aircraft.

This tutorial will walk you through:

  • Launching the rosplane autonomy stack
  • Flying waypoint missions
  • Some basic analysis of what is going on

Prerequisites

ROSplane Overview

ROSplane is a ROS2-based autopilot system designed for fixed-wing vehicles.

Major System Components

  • Estimator: EKF for state estimation from IMU, GPS, and barometer data
  • Controller: Multiple control algorithms (successive loop control, total energy control)
  • Path Follower: Tracks commanded paths and generates control setpoints
  • Path Manager: Converts waypoints into smooth flyable paths using fillets or Dubins curves
  • Path Planner: High-level mission planning and waypoint management

Control Hierarchy

ROSplane implements a hierarchical control structure where high-level waypoint commands flow through path planning, path management, path following, and finally to low-level control loops.

Launching standalone_sim

The standalone simulator provides a lightweight simulation environment using RViz for visualization. This is the recommended starting point for ROSplane simulation.

Launch the fixed-wing simulation:

# Start the standalone simulator with ROSflight firmware simulation
ros2 launch rosflight_sim fixedwing_standalone.launch.py use_vimfly:=true

The RViz simulation environment should launch.

See the manually flying guide for instructions on launching, configuring, and arming in sim.

Launching ROSplane Autonomy Stack

The ROSplane autonomy stack is a collection of ROS2 nodes that provide autonomous flight capabilities on top of the basic simulation.

In a new terminal, run:

ros2 launch rosplane_sim sim.launch.py

This launch file does 2 things:

  1. Launches rosplane autonomy stack by calling the rosplane.launch.py file. This file launches most of the nodes we'll explore later.
  2. Starts the sim_state_transcriber node. This node publishes the truth state from the simulation as a rosplane/msg/State message so we can easily compare estimated and true state.

Understanding the ROSplane Stack

Let's take a look at the nodes that we just ran:

# Check ROSplane-specific nodes
ros2 node list

You should see the following output: 

➜  ~ ros2 node list
/autopilot
/estimator
/path_follower
/path_manager
/path_planner
/rosplane_truth
Node Descriptions
  • /autopilot: Main control node that implements multiple control algorithms (successive loop control, total energy control) and manages flight modes
  • /estimator: EKF that fuses IMU, GPS, and barometer data to provide state estimation (position, velocity, attitude, airspeed)
  • /path_follower: Tracks commanded paths and generates control setpoints for the controller
  • /path_manager: Converts waypoints into smooth flyable paths using fillets or Dubins curves
  • /path_planner: High-level mission planning node that handles waypoint loading and mission sequencing
  • /rosplane_truth: Simulation truth state publisher that provides ground truth data for comparison with estimated state

Let's now take a look at the topics specific to rosplane:

# Check ROSplane-specific topics
ros2 topic list

You should see the following output (note that these are topics from only the rosplane launch file): 

➜  ~ ros2 topic list
/airspeed
/baro
/command
/controller_command
/controller_internals
/current_path
/estimated_state
/gnss
/imu/data
/parameter_events
/rosout
/sim/rosplane/state
/sim/truth_state
/sim/wind_truth
/status
/waypoint_path
Some Key Topic Descriptions
  • Messages that the estimator subscribes to:
    • /airspeed: Differential pressure sensor for airspeed estimation
    • /baro: Barometric pressure sensor data for altitude estimation
    • /gnss: GPS position and velocity measurements
    • /imu/data: IMU sensor data (accelerometer, gyroscope measurements)
    • /magnetometer: Magnetometer readings for heading estimation
  • /command: Commands sent to ROSflight firmware (see rosflight_msgs/msg/Command for details)
  • /controller_internals: Inner control loop commands. Helpful for debugging
  • /current_path: Active path segment being followed by the path follower
  • /estimated_state: Complete vehicle state from EKF (position, velocity, attitude, airspeed, wind estimation)
  • /sim/rosplane/state: ROSplane-formatted state message from simulation truth
  • /waypoint_path: Current mission waypoints and path information

When we fly waypoint missions, we will load waypoints to the path_planner using a service call. The chain of information flows from the path_planner to the path_manager, path_follower, autopilot, and finally on to the firmware.

Launch Ground Control Station

The ground control station will plot waypoints that we pass to ROSplane. It can be helpful to launch this so we can see if ROSplane is actually doing what we want it to do.

# In a new terminal (source workspace first)
ros2 launch rosplane_gcs rosplane_gcs.launch.py

This will launch another instance of RViz that will display different information than the main simulation pane.

Loading Missions

ROSplane supports loading waypoint missions through waypoints defined in YAML files or set through ROS services. These waypoints will be uploaded to the path_planner node using the path_planner's ROS2 services.

Using Waypoint Files

Waypoints can be loaded in batch manner from a file.

Create or modify waypoint files: 

# Edit the default waypoint file
vim /path/to/rosflight_ws/src/rosplane/rosplane/params/fixedwing_mission.yaml

Example waypoint file structure: 

# WAYPOINTS
wp:
  w: [1000.0, -500.0, -50.0]  # Position [North, East, Down] in meters
  chi_d: 1.1518               # Desired heading (radians)
  lla: false                  # Use NED coordinates (not GPS lat/lon/alt)
  use_chi: false              # Use smooth turns
  va_d: 15.0                  # Desired airspeed (m/s)
wp:
  w: [1000.0, 400.0, -50.0]
  chi_d: 1.1518
  lla: false
  use_chi: false
  va_d: 15.0

Waypoint Parameters:

  • w: Position coordinates [North, East, Down] (in meters NED frame or LLA)
  • chi_d: Desired heading in radians
  • lla: Set to false for NED coordinates, true for GPS coordinates
  • use_chi: Set to false for fillet path planning, true for Dubin's path planning. See Small Unmanned Aircraft: Theory and Practice for more information.
  • va_d: Desired airspeed in m/s

Load waypoints from mission file using the service call:

# Load waypoints from the default mission file
cd /path/to/rosflight_ws/src/rosplane/rosplane/params
ros2 service call /load_mission_from_file rosflight_msgs/srv/ParamFile \
  "{filename: $(pwd)/fixedwing_mission.yaml}"

Setting Waypoints Manually

You can also add waypoints dynamically using the following services:

# Add a single waypoint (N=500m, E=300m, D=-40m, heading=0rad, airspeed=12m/s)
ros2 service call /add_waypoint rosplane_msgs/srv/AddWaypoint \
  "{w: [500.0, 300.0, -40.0], chi_d: 0.0, use_chi: false, va_d: 12.0}"

# Progress to next waypoint in sequence
ros2 service call /publish_next_waypoint std_srvs/srv/Trigger

# Print current waypoint list
ros2 service call /print_waypoints std_srvs/srv/Trigger

Verify Mission Loading

You can check that the waypoints are loaded by looking at the rosplane_gcs RViz GUI. You should see the waypoints plotted as markers in the visualization.

Publishing Additional Waypoints

Note that the path_planner will publish only the first few waypoints (determined by the num_waypoints_to_publish_at_start parameter). Publish the next one by calling: 

ros2 service call /publish_next_waypoint std_srvs/srv/Trigger
or by setting the parameter to the desired value: 
ros2 param set /path_planner num_waypoints_to_publish_at_start 100

Enabling Autonomous Flight

After loading missions, enable autonomous flight through ROSplane's services.

Arm and Start Mission

# Arm the vehicle (enable motors)
ros2 service call /arm std_srvs/srv/Trigger

# Turn off RC override -- make sure it is toggled off before arming
ros2 service call /toggle_override std_srvs/srv/Trigger

Monitor Flight Progress

Track autonomous flight status:

# Monitor vehicle state during flight
ros2 topic echo /estimated_state

# Watch controller commands
ros2 topic echo /controller_internals

Tuning Flight Performance

It is possible that the flight performance is unstable due to the controller's gains not being set correctly. See the tuning guide for more information.

Review

You have successfully completed the ROSplane autonomous flight tutorial. You should now be able to:

  • Launch ROSplane Stack: Start the complete autonomy stack with estimator, controller, and path management
  • Load Waypoint Missions: Create and load waypoint missions from YAML files or via ROS services
  • Execute Autonomous Flight: Arm the vehicle and fly autonomous waypoint missions
  • Monitor Flight Performance: Track vehicle state and controller performance during flight
  • Understand System Architecture: Recognize how nodes communicate and data flows through the system

Next Steps

Once you have ROSplane running autonomously, you can:

  1. Multirotor Autonomous Flight: Explore ROScopter for multirotor autonomous flight
  2. Parameter/Gain Tuning: Use RQT plugins to tune PID controllers and optimize flight performance
  3. Custom Applications: Develop your own ROS2 nodes that interface with ROSplane

Additional Resources