Flight Stand Software Tutorials

1. Navigate to the ‘Manual Control’ tab
2. Name your test
3. Choose continuous recording or manual sampling
4. Activate the ESC and drag the slider to set the throttle
5. Deactivate the ESC to end the test then save the data

1. Navigate to the ‘Automatic Control’ tab
2. Activate your ESC
3. Create your throttle sequence by uploading a CSV file OR
4. Input times and throttle values in the table
5. Preview the sequence and set the # of repeats
6. Name your test and choose a sampling method
7. Click ‘Initiate Sequence’
8. Save your data once the sequence is complete
   

1. Navigate to the ‘Hardware’ tab
2. Click ‘Connect Simulated Board’
3. For a dual or multi-motor test, repeat step 2
4. Perform a Manual or Automated test as usual

1. Navigate to the ‘Tests’ tab
2. Go to the ‘Export’ tab
3. Under ‘Time Resolution’ select ‘Resample’
4. Enter a value for sample reporting frequency

1. Start a Manual or Automated test
2. Drag up the ‘Real-time plots’ window
3. Select which powertrains you would like to see
4. Select the time visible on the x-axis
5. Control the layout and visibility of plots
6. Select filtered or unfiltered data

1. Navigate to the ‘Manual Control’ tab
2. Click on the gear icon to the left of the ESC slider
3. Enter a value in the ‘Rate Limiter’ box in µs/s
4. Remove the rate limiter value and activate the ESC
5. Navigate to the ‘Automatic Control’ tab’s table
6. Enter desired values in the ‘Rate (µs/s)’ column
7. Rate limiter will be automatically applied to the test

1. Navigate to the 'Automatic Control' tab

2. Organize your flight controller data into a .csv file with 2 columns for 'Time' and 'Throttle'

3. Upload your .csv file into the software under 'Tools' and 'Import sequence from .csv'

4. Start test by clicking 'Execute sequence'

5. Run your test and export your data with your desired settings

1. Navigate to the 'Automatic Control' tab and select 'Python API'

2. Navigate to the Gitlab repository

3. Open your preferred text editor with a Python compiler

4. Run the command indicated in the Read me file

5. Run example.py and confirm in the software that the test ran successfully

1. On the computer connected to your Flight Stand, right-click on the Flight Stand Software icon and click on 'Properties'

2. Add the '--remote' argument to the end of the Target line and click 'Save' or 'Apply'

3. Use the command 'ipconfig' in Command Prompt to get the IP address of the computer you just configured

4. On the second computer, again go to properties and add to the end of the Target line: '--target=(IP address of computer 1); 50051

5. Launch the software and confirm that changes in the software are reflected in the first computer

1. Connect the WindShaper to your computer.

2. Map the controls in the Powertrain Mappings tab.

3. Customize the WindShaper control settings like open/closed loop and throttle range.

4. Perform manual or automated tests as you would with your Flight Stand.

1. Create your single blade propeller
2. Balance it dynamically using the Flight Stand balancer
3. Test it on the Flight Stand
4. Compare performance to a 2-blade propeller

1. Setup and open the Python API and Flight Stand software
2. Run command py -m pip install simple-pid
3. Find the number associated with the signal for thrust in the .proto file in the repository, scroll to the list of input signals
4. Ensure the input and output board match what is found in the Flight Stand software
5. Run the Python file and add the board information to the script
6. Adjust the target values in the script to customize your test.
7. Run the test and adjust as needed
8. See the video for detailed instructions

1. Navigate to the Balancing tab and click "New balancing session"
2. Enter your test parameters like operating RPM, rotor mass, and correction radius
3. Click "Create" and increase the throttle until you reach your target RPM, then click "Capture"
4. Add the trial weight to your propeller, then increase to your target RPM and capture another reading
5. If required, add the recommended correction weight to your propeller and capture one more reading
6. Your propeller should now be balanced, or you may require another correction weight

1. Navigate to the Balancing tab and click "New balancing session"
2. Enter your test parameters and select "Disk" for the number of blades
3. Click "Create" and increase the throttle until you reach your target RPM, then click "Capture"
4. Add the trial weight to your motor, then increase to your target RPM and capture another reading
5. If required, add the recommended correction weight to your motor and capture one more reading
6. Your motor should now be balanced, or you may require another correction weight

1. Navigate to the Input transformations tab and click "Add new transformation"
2. Enter your sensor's parameters like name, unit type, system limits, and transformation formula
3. Click "Save" and real-time data should be displayed in the table
4. To see the data in software's left panel and in real-time plots, go the Powertrain mapping tab.
5. Navigate to "Extra mappings" and assign the sensor to your chosen powertrain.
6. Your sensor should now be compatible with the Flight Stand software.

1. Mount the motor on the Flight Stand and attach propellers of varying sizes to act as loads.
2. Define a set of throttle or input steps (e.g. pulse widths) and run tests at each step for every propeller.
3. Record motor data at each step: RPM, torque (via thrust mapping), electrical power consumed, etc.
4. Export the collected data to a common file format (e.g. CSV) with consistent units and column headings.
5. Upload your data to the provided Google Colab notebook to process and generate the motor map.
6. Review the resulting plots to analyze motor efficiency and performance across operating points.