Analyzing Flight Performance with Raspberry Pi WiFi Analyzer: A Guide to Identifying Common Issues

Raspberry Pi is a popular microcomputer that can be used for a variety of tasks, including analyzing flight performance of multirotor vehicles. One of the most common issues faced by drone enthusiasts is vibration, which can lead to degraded flight performance and reduced flight time. In this article, we will explore how to use Raspberry Pi WiFi analyzer to identify and troubleshoot common problems with your flight performance.

Understanding Flight Performance Plots

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The Raspberry Pi WiFi analyzer provides a range of plots that help you analyze the performance of your drone. These plots include tracking performance, rate controller plots, and estimated lines. The Estimated line (red) should closely match with the Setpoint (green) to ensure optimal flight performance.

Troubleshooting Common Issues

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### Vibration

Vibration is one of the most common problems faced by multirotor vehicles. It can lead to degraded flight performance and reduced flight time. To troubleshoot vibration issues, you need to enable high-rate logging profile (SDLOG_PROFILE) and analyze tracking performance plots.

### PID Gains

If your drone's rate controller is not tracking properly, it may be due to incorrect PID gains. In most cases, you need to tune the PID gains of the rate controller to achieve optimal flight performance.

### Flight Mode

The Raspberry Pi WiFi analyzer provides information about the flight mode being used. This includes background color on the body of the plot and labels that show the flight mode when hovering with the mouse over a plot.

Best Practices for Analyzing Flight Performance

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* Use high-rate logging profile (SDLOG_PROFILE) to get more details when analyzing tracking performance plots.

* Enable high-resolution logging to capture more data points for analysis.

* Use the estimated line (red) and setpoint (green) to ensure optimal flight performance.

* Analyze rate controller plots to identify issues with the PID gains.

* Use the VTOL mode as background color in the bottom part of the plot to identify issues with VTOL vehicles.

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In conclusion, Raspberry Pi WiFi analyzer is a powerful tool for analyzing flight performance of multirotor vehicles. By understanding how to use the various plots and troubleshoot common issues, you can optimize your drone's performance and achieve better flight times. Whether you're a beginner or an experienced drone enthusiast, this guide has provided valuable insights into using Raspberry Pi WiFi analyzer for analyzing flight performance.

Raspberry pi wifi analyzer