PX4/ArduPilot autopilot tools
Project description
PX4/ArduPilot Autopilot tools
autopilot_tools is a python package intended to be used as part of automated work with PX4 and ArduPilot autopilots.
1. INSTALLATION
The package is distrubuted via pypi.org/project/autopilot-tools/.
pip install autopilot_tools
Alternatively, you can install the package from sources in Development Mode (a.k.a. “Editable Installs”). Clone the repository, install the package in development mode and use it in virtual environment:
git clone https://github.com/PonomarevDA/autopilot_tools.git
python3 -m venv venv
./venv/bin/activate
pip install -e .
2. USE CASES
After the installation the package is accessible as a few executables.
2.1. Autopilot configurator
Let's say you have an autopilot, but you’re unsure about its current firmware version or configuration. All you want is to upload the exact firmware you need and configure it according to your specifications. This is where autopilot-configurator
can be extremely helpful. This script:
- uploads the specified PX4 or ArduPilot firmware to the autopilot,
- resets all parameters to default and then applyed the required parameters in the given order,
- performs a force sensor calibration, which is especially useful for HITL simulators.
There are a few ways how to use this feature.
First way. Using --firmware
and --params
options you can configure the autopilot with desired firmware and/or parameters:
autopilot-configurator -v --firmware https://github.com/ZilantRobotics/PX4-Autopilot/releases/download/v1.15.0-0.4.3-beta1/px4_fmu-v6c_cyphal.px4 --params examples/px4_sys_autostart_13000.yaml
Second way. Using --force
or --load
option you can either configure (upload firmware + load parameters) or only load parameters to the target using a singel yaml file:
cd ~/zilant/uav_hitl_sim # or your path to the simulator
autopilot-configurator -v --force configs/vehicles/px4_v1_15_0_cyphal_quadplane_vtol.yaml
Third way. You can import the module and perform the configuration manually from your custom python script:
from autopilot_tools.configurator import AutopilotConfigurator
AutopilotConfigurator.configure_with_yaml_file(config_path="path_to_config_file.yaml",
need_upload_firmware=True,
need_load_parameters=True)
2.2. Test scenario
test-scenario
uploads the given mission to the autopilot,
run it and wait until it is finished,
then download the log from the vehicle and upload it to review.px4.io.
It returns a user the result of the flight and link to the flight report.
You can run this utility as follows:
test-scenario examples/plan_without_fence.plan --output flight.ulg
This will run mission from the examples
folder.
2.3. Using as a module
The package can be imported as a module. This allows you to implement more customized behaviour and use extended features if you need.
An example is shown below:
from autopilot_tools.vehicle import Vehicle
from autopilot_tools.analyzer import Analyzer
vehicle = Vehicle()
vehicle.connect(device="serial")
vehicle.upload_firmware(firmware_path_or_url)
vehicle.configure(params_path)
vehicle.load_mission(mission_path)
res = vehicle.run_mission()
print(res)
log_file = vehicle.load_latest_log(mission_path)
analzyer = Analyzer()
res = analzyer.analyse_log(log_file, analyze_requests=("airspeed", "ice", "esc_status"))
print(res)
2. DESIGN
The package is primarily based on ArduPilot/pymavlink.
3. Developer guide
A developer should follow the CONTRIBUTING.md guide.
Deployment. Please, deploy initially on test.pypi.org. Only if everything is fine, then deploy on pypi.org. Try the script below to get details:
./deploy.sh --help
4. LICENSE
The package inherits ArduPilot/pymavlink license and is distributed under GPLv3 license.
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