Analyzes Betaflight blackbox logs to calculate PID step responses for systematic quadcopter tuning.
PID-Analyzer is a tool that analyzes Betaflight blackbox logs to calculate PID step responses, helping quadcopter pilots systematically tune their flight controllers. It uses deconvolution to derive the system response from PID input and gyro output, providing visual feedback on tuning effectiveness. The tool addresses the challenge of optimizing PID settings for stable and responsive flight performance.
Quadcopter pilots and drone enthusiasts using Betaflight flight controllers who want a data-driven approach to PID tuning. It's particularly useful for those recording blackbox logs and seeking to improve flight characteristics beyond trial-and-error methods.
Developers choose PID-Analyzer because it replaces manual tuning guesswork with mathematical analysis, offering weighted response calculations to account for real-world disturbances. Its ability to handle logs from multiple Betaflight versions and provide separate responses for high/low inputs makes it a robust, open-source alternative to subjective tuning techniques.
PID-Analyzer is a Python-based tool that reads Betaflight blackbox logs and calculates PID step responses to provide a systematic approach to tuning quadcopter flight controllers. It helps pilots visualize how their PID settings affect flight performance by mathematically deriving the system response from input (PID commands) and output (gyro data).
PID-Analyzer aims to replace guesswork in PID tuning with a data-driven, mathematical approach, making it easier for pilots to achieve stable and responsive flight characteristics.
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Uses deconvolution to mathematically derive PID step responses from blackbox logs, replacing guesswork with systematic analysis as highlighted in the README.
Implements weighted response functions based on RC-input and quality to reduce the impact of external disturbances like wind, improving reliability in real-world conditions.
Calculates separate responses for inputs above and below 500 deg/s when D Setpoint Transition is enabled, accounting for different tuning behaviors during aggressive maneuvers.
Tested on Windows and macOS with multiple Betaflight versions, and provides pre-packaged executables for easy setup, as noted in the requirements.
Requires blackbox_decode.exe from blackbox-tools, adding an extra step for users who must manually place it in the same folder, which can lead to compatibility or setup issues.
Only supports Betaflight blackbox logs and is tested up to version 3.3, making it unsuitable for other flight controllers and potentially unreliable with newer Betaflight releases.
Primarily operated via command-line or dragging files into cmd, lacking a graphical user interface that might be more intuitive for visual learners or those less comfortable with terminal usage.