📄 中文摘要
FPV 无人机的飞行者常常面临手动调节 PID 值的困难，传统方法需要经过多次飞行和反复调整，过程繁琐且耗时。为了解决这一问题，开发了一款工具，利用神经网络分析 Betaflight 黑匣子日志，自动建议优化的 PID 值。该工具旨在简化调节过程，提高飞行性能，尤其是在自由飞行和竞速中表现出色。通过自动化的方式，减少了飞行者的工作量，使得无人机的调节变得更加高效和精准。
如何构建神经网络自动调节 FPV 无人机 PID 值
📄 English Summary
How I Built a Neural Network to Auto-Tune FPV Drone PIDs from Blackbox Logs
Flying FPV drones often involves the tedious process of manually tuning PID values, which can be time-consuming and frustrating. The traditional method requires multiple test flights and adjustments, leading to a steep learning curve. To address this issue, a tool has been developed that employs neural networks to analyze Betaflight blackbox logs and automatically suggest optimized PID values. This tool aims to simplify the tuning process and enhance flight performance, especially for freestyle and racing applications. By automating the tuning process, it reduces the workload for pilots, making drone adjustments more efficient and precise.