This tutorial will walk you through building a Pixhawk guided autonomy-capable drone. The project consists of the following:
- ODROID XU4 with 32GB SD Card (Flashed with Ubuntu 18.04)
- ODROID WiFi Module #5
- 3DR Pixhawk 1 FCU
- Pixhawk Power Module
- USB-TTL Module
- Intel Realsense T265 Tracking Camera
- Q330 UAV Frame
- RS2203 2300KV Motors x 4
- 25A-rated ESCs x 4
- 5500 mAh 3S LiPo Battery
- Spare 2.1mmx5.5mm Barrel Power Connector
- FS-IA6B Radio Receiver
- Flysky i6 Controller
- Double Sided Mounting Tape
Wiring and Assembly
The important takeaway from our list of materials is that most of our required materials can be used to build a simple drone. The Pixhawk controller is designed to communicate with any onboard Linux capable computer and doesn't care about the peripherals, so you could potentially use any radio, battery, ESC/motor combination, and frame you want. This universality is powerful, thus you do not need to restrict yourself to the materials I listed.
Our first step would be to assemble the drone. We will assemble it in a "Quad X" configuration, which is the simplest drone configuration available in Pixhawk. Figure 2 shows how you should set up your drone connections, and also where the ESC signals should be connected to the Pixhawk outputs.
After assembling the frame and screwing the motors in, you can solder the ESCs to the PDB (which is part of the Q330 frame) and to the motors. Figure 4 shows the associated wiring for different sping directions.
Now connect the radio receiver to Pixhawk. Pixhawk interprets signals as SBUS, which I configured my FS-IA6B receiver to output over a single data line.
Now we solder the spare barrel jack connector to the Pixhawk power module, which has a 5V 3A BEC that we will use to power the onboard ODROID. The soldering is shown in Figure 6. Testing the voltage output with the voltmeter shows 5.28V, which is safe for powering our ODROID.
The last soldering will be the USB-TTL converter, which will be used for communication between ODROID and the Pixhawk FCU, shown in Figure 8. A schematic can be found at https://ardupilot.org/dev/_images/ODroid_Pixhawk_Wiring.jpg.
We are now done with the tedious part of the assembly, and it's time to mount everything onboard. I used soft double sided mounting tape so that the FCU and camera wouldn't be affected by the vibrations from the quadrotor. Due to the lack of space, I decided to mount the camera on the Pixhawk FCU, which was mounted on top of the ODROID. This is not the best approach, but it works well enough, though the issue could be easily mitigated by using a smaller FCU (such as the Pixracer) or by 3D printing extensions.
ODROID software setup
Our assembly is now complete, and it's time to set up the software. Luckily this is so simple it all boils down to installing packages and verifying our devices/connections:
1. Install ROS Melodic from http://wiki.ros.org/melodic/Installation/Ubuntu 2. Install [librealsense from https://github.com/IntelRealSense/librealsense/blob/master/doc/installation.md. (make sure to follow step 5) 3. install ros-melodic-ddynamic-reconfigure via apt 4. Install realsense-ros from https://github.com/IntelRealSense/realsense-ros 5. Install mavros and mavlink:
$ sudo apt-get install ros-kinetic-mavros ros-kinetic-mavros-extras $ wget https://raw.githubusercontent.com/mavlink/mavros/master/mavros/scripts/install_geographiclib_datasets.sh && ./install_geographiclib_datasets.sh6. Test that the T265 camera works (connect ODROID to a screen and execute `realsense-viewer` from terminal) 7. Verify T265 camera also works in ROS:
$ roslaunch realsense2_camera rs_t265.launchYou should see odometry messages coming in at a rate of ~200 Hz from this topic
$ rostopic hz /camera/odom/sample subscribed to [/camera/odom/sample] average rate: 199.868 min: 0.001s max: 0.012s std dev: 0.00130s window: 189 average rate: 199.845 min: 0.000s max: 0.044s std dev: 0.00947s window: 389 average rate: 199.574 min: 0.000s max: 0.044s std dev: 0.01103s window: 5858. Install a conversion package from https://github.com/thien94/vision_to_mavros so that the coordinate frames from the camera to the FCU will be correct.
9. Create access point from ODROID's WiFi module and reboot to enable it:
$ git clone https://github.com/oblique/create_ap $ cd create_ap $ sudo make install $ systemctl start create_ap $ systemctl enable create_ap $ create_ap wlan0 eth0 odroid_drone --mkconfig /etc/create_ap.conf
Pixhawk FCU setup
At this point our ODROID setup is complete and we need to configure the Pixhawk FCU with QGroundControl. You may download the AppImage to your own computer, and after connecting to the FCU follow these steps to completely set up Pixhawk for accept vision positioning data:
1. Install latest firmware 2. Choose the airframe type (for my case i will choose Quadrotor X - DJI Flame Wheel F330 as it's similar enough to the Q330) 3. Calibrate the FCU sensors 4. Calibrate your radio controller after binding it to the receiver 5. Calibrate LiPo battery and ESCs. Set the correct values in Number of Cells 6. Assign radio channels in Flight Modes. I set mine as in Figure 14 7. We now go to the Parameters section:
- I changed `CBRK_IO_SAFETY` to disable safety checking, but this is optional
- Change `PWM_MIN` to a reasonable value (I set it to 1050 us)
- Set `MAV_0_CONFIG` to "TELEM 2", `MAV_0_MODE` to "Onboard"
- Uncheck "use GPS" in `EKF2_AID_MASK` and check "vision position fusion" and "vision yaw fusion"
- Change `EKF2_HGT_MODE` to "Vision"
- Set the `EKF2_EV_POS_X`, `EKF2_EV_POS_Y`, `EKF2_EV_POS_Z` parameters accordingly
- For safety, change `COM_OBL_ACT` to "Terminate" and `COM_OBL_RC_ACT` to "Terminate" in case there is some sort of error in the ODROID-Pixhawk data link
I assigned a manual kill switch for emergencies as well. The Manual, Position, and Offboard mode switches have been assigned for a smooth transition to autonomy.
Now we will send our own data for flying. We clone a custom package called my_autonomous_drone from https://github.com/yehonathanlitman/my_autonomous_drone and rebuild our ROS space. You should execute the following to find your USB-TTL converter:
$ ls /dev/tty* | grep USBThen, change launch/px4.launch to follow this format:
<!--?xml version="1.0"?--> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span> <span style="font-weight: 400;"> </span>Now make a src directory in the my_autonomous_drone package and add a offb_node.cpp (https://dev.px4.io/v1.9.0/en/ros/mavros_offboard.html) to it. Make sure to add the file to the package build so it can be compiled. After powering up the drone from the battery, SSH into the access point you created and follow these commands:
1. Run “roslaunch my_autonomous_drone px4.launch” to begin data transmission 2. Verify the FCU is connected with “rostopic echo /mavros/state” 3. Launch the Realsense node with “roslaunch realsense2_camera rs_t265.launch” 4. Run “roslaunch vision_to_mavros t265_tf_to_mavros.launch” for coordinate frame conversion 5. The last step is to run “rosrun my_autonomous_drone offb_node” to begin sending the position waypoint to Pixhawk. The drone flies are shown in Figure 15.
If you want the drone to do something more impressive, you can play around with the x and y coordinates in offb_node.cpp. For example, an eight-figure can be done using parametric equations (https://mathworld.wolfram.com/EightCurve.html). Inside the while loop we can do this, where the variable “i” is initialized to 0 before the while loop begins:
double t = i * 0.02; x = a * sin(t); y = a * sin(t) * cos(t); i++;
In this guide, I have shown you how to assemble a drone, connect its flight controller to ODROID, and send it simple guidance commands in ROS. This is just the tip of the iceberg of a super interesting field, but with a bit of hard work you can start doing some really amazing things. If you want more, you can check out my YouTube channel (youtube.com/c/SimpleKernel) where I have uploaded some more in depth instructional videos on autonomy using Pixhawk and setting up your own visual guidance from scratch.