Setting up SITL on Linux¶
This page describes how to setup the SITL (Software In The Loop) on Linux. The specific commands were tested on Ubuntu 12.10, 13.04 and 14.10.
The SITL simulator allows you to run Plane, Copter or Rover without any hardware. It is a build of the autopilot code using an ordinary C++ compiler, giving you a native executable that allows you to test the behaviour of the code without hardware.
SITL runs natively on Linux and Windows. See the separate windows installation page for a windows install.
Please follow each of the steps below.
If you don’t have a copy of the ardupilot git repository then open a terminal and run:
git clone git://github.com/ArduPilot/ardupilot.git cd ardupilot git submodule init git submodule update
JSBSim (Plane only)¶
If you want to fly the fixed wing (Plane) simulator then you will need to use the JSBSim flight simulator. JSBSim is a sophisticated flight simulator that is used as the core flight dynamics system for several well known flight simulation systems.
In the same directory (your home directory) run these commands:
git clone git://github.com/tridge/jsbsim.git sudo apt-get install libtool automake autoconf libexpat1-dev
If you are getting an error message saying you need a newer version of JSBSim then you can update it like this:
cd jsbsim git pull ./autogen.sh --enable-libraries make
Install some required packages¶
If you are on a debian based system (such as Ubuntu or Mint) then run this:
sudo apt-get install python-matplotlib python-serial python-wxgtk2.8 python-lxml sudo apt-get install python-scipy python-opencv ccache gawk git python-pip python-pexpect sudo pip install pymavlink MAVProxy
Or if you are on a RPM based system (such as Fedora) run this:
yum install opencv-python wxPython python-pip pyserial scipy python-lxml python-matplotlib python-pexpect python-matplotlib-wx
Add some directories to your search path¶
Add the following lines to the end of your ”.bashrc” in your home directory (notice the . on the start of that filename. Also, this is a hidden file, so if you’re using a file manager, make sure to turn on “show hidden files”). Note the order, it is important to have jsbsim/src before autotest in case you’re running a virtual machine.
export PATH=$PATH:$HOME/jsbsim/src export PATH=$PATH:$HOME/ardupilot/Tools/autotest export PATH=/usr/lib/ccache:$PATH
Then reload your PATH by using the “dot” command in a terminal
Start SITL simulator¶
To start the simulator first change directory to the vehicle directory. For example, for the fixed-wing code change to ardupilot/ArduPlane:
Then start the simulator using sim_vehicle.py. The first time you run it you should use the -w option to wipe the virtual EEPROM and load the right default parameters for your vehicle.
After the default parameters are loaded you can start the simulator normally. First kill the sim_vehicle.py you are running using Ctrl-C. Then:
sim_vehicle.py --console --map --aircraft test
Load a mission¶
Let’s also load a test mission. From within MAVProxy type:
wp load ../Tools/autotest/ArduPlane-Missions/CMAC-toff-loop.txt
CMAC-toff-loop.txt contains a mission which flies in a loop around my local flying field. Now let’s takeoff!
Run the command “arm throttle” followed by “mode auto”
arm throttle mode auto
Your virtual aircraft should now takeoff.
To get the most out of SITL you really need to learn to use MAVProxy. Have a read of the MAVProxy documentation. Enjoy flying!
Using a different JSBSim model¶
If using the JSBSim plane simulator you can specify a different JSBSim model than the default Rascal110 by specifying the model name using the -f parameter to sim_vehicle.py, like this:
sim_vehicle.py -f jsbsim:MyModel --console --map
the model should be in the Tools/autotest/aircraft/ directory.
FlightGear 3D View (Optional)¶
Developers can optionally install the FlightGear Flight Simulator and use it (in view-only mode) to display a 3D simulation of the vehicle and its surroundings. This provides a much better visualization than the 2D maps and HUD flight displays provided by MAVProxy and Mission Planner.
FlightGear support is currently only in master (January 2016). It should appear in the next versions of the vehicle codelines (not present on current versions: Copter 3.3, Plane 3.4, Rover 2.5).
SITL outputs FlightGear compatible state information on UDP port 5503. We highly recommend you start FlightGear before starting SITL (although this is not a requirement, it has been found to improve stability in some systems).
The main steps (tested on Ubuntu Linux 14.04 LTS) are:
Install FlightGear from the terminal:
sudo apt-get install flightgear
This will start FlightGear.
Start SITL in the terminal in the normal way. In this case we’re specifying the start location as San Francisco airport (KSFO) as this is an interesting airport with lots to see:
sim_vehicle.py -j4 -L KSFO
FlightGear will always initially start by loading scenery at KSFO (this is hard-coded into the batch file) but will switch to the scenery for the simulated location once SITL is started.
- If the vehicle appear to be hovering in space (no
- scenery) then FlightGear does not have any scenery files for the selected location. Choose a new location!