This repository holds all GNC code for the PAN mission. It will be comprised of two main modules:
MATLAB code listed in MATLAB/**
is deprecated and will be phased out by the
new C++ implementation of PSim.
See the full set of documentation here including installation instructions.
Setting up the PlatformIO build system for GNC development can be done with the following:
python3 -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
You can ensure PlatformIO is behaving properly by running:
. venv/bin/activate
pio test -e native
Note: Using you're system's default Python 3 is recommended if you will also be developing/working with PSim. PSim will build Python extensions using the development headers associated with your system's default version of Python 3.
For PSim development, there are the following additional requirements:
All three of these should be available via your systems package manager. The last build dependency (Python's distutls) is most likely installed on your system already so it may be worth giving building a go and see if Bazel/Python complain.
On a Debian based system, the Python development headers can be installed with:
sudo apt-get install python3-dev
and Bazel install instructions (for other platforms too) can be found here.
To ensure everything is working as expected, you should be able to build and run the C++ unit tests for PSim with:
bazel test //test/psim:all
The PSim Python module can be compiled, installed, and run with:
python3 -m venv venv
. venv/bin/activate
pip install --upgrade pip
pip install -r requirements.txt
pip install -e .
python -m psim --help
Note the you can add the -vvv
flags to the pip
command to see compilation
errors if the install fails. It's also recommended to use the -e
flag to build
PSim in place which avoids making Bazel track a new repository that pip
would
essentially create otherwise.
When making changes to PSim, simply run pip install -e .
again to have Bazel
recompile the needed C++ files and pip
update the Python source files.
It's also recommended to install the Bazel build tools along with the VSCode
extensions 'Bazel' by the 'Bazel Build Team'. With this extension plus
configuring C/C++ intellisense according to
tools/bazel-compilation-database.sh
the Bazel build system should integrate
fairly well with VSCode.
To ensure everything is working as expected, you should be able to run the following successfully (make sure you're in your virtual environment when working with Bazel as well):
bazel test //test/psim:all
The GNC library is a set of flight software algorithms (mainly controllers and estimators) along with a myriad of utility functions.
The source code for the GNC library lives in include/gnc/**
and src/gnc/**
.
The associated unit tests are located in test/gnc/**
and can be built with
PlatformIO using the following command:
source venv/bin/activate
pio test -e native
The actual infrastructure for PSim is slightly fluid at the moment; however, this PR have a good overview of the architecture: #231.
The code lives under include/psim/**
and src/psim/**
and leverages the GNC
modules as a dependency. Unit test are implemented under test/psim/**
and can
be run with the following command:
bazel test //test/psim:all --test_output=all
If you're interested in running the standalone version of PSim, you should install a development version of the PSim module locally in you're virtual environment:
source venv/bin/activate
pip install -e .
python -m psim --help
From there, you should be able to run PSim standalone cases, start simulation off
with difference configurations, and plot state fields over the course of the
simulation. Note, that pip install -e .
calls the setup.py
file which calls Bazel.
Therefore, if any C++ changes are made you must reinstall the PSim module with pip
to update the PSim binaries. Note the -e
flag ensures pip
doesn't copy the entire
respository and rebuild for each install.