Upload your Betaflight blackbox logs and get optimized PID settings in seconds. Our neural network analyzes gyro noise, identifies resonance frequencies, and generates the perfect tune for your FPV drone.
Start Tuning NowBetaflight PID tuning is the process of adjusting your flight controller's Proportional, Integral, and Derivative gains to achieve optimal flight performance. Proper PID tuning eliminates oscillations, reduces prop wash, and makes your FPV drone feel locked-in and responsive.
Traditional PID tuning requires hours of test flights, analyzing blackbox logs manually, and making incremental adjustments. Most pilots struggle with understanding gyro noise patterns, filter settings, and the complex relationship between P, I, and D gains.
FPVtune uses artificial intelligence to automate this entire process. Our neural network has been trained on thousands of blackbox logs from various drone configurations, learning the optimal PID settings for different frame sizes, motor combinations, and flying styles.
Vibrations during quick descents or sharp turns caused by turbulent air hitting the propellers.
Excessive D-gain or inadequate filtering causes motors to overheat and reduces their lifespan.
Low P-gains result in slow, mushy stick response that makes precise flying difficult.
Vibrations at certain throttle positions due to motor resonance frequencies.
FPVtune analyzes your blackbox data using advanced neural networks to generate optimized settings tailored to your specific drone configuration.
Record a short flight with blackbox logging enabled in Betaflight Configurator. Upload the .BBL or .BFL file to FPVtune. We support Betaflight 4.5 and newer log formats.
Our neural network performs spectral analysis on your gyro data, identifies noise frequencies, measures step response, and evaluates your current PID performance against thousands of reference tunes.
Receive optimized PID values, filter settings, and feedforward gains. Copy the generated CLI commands directly into Betaflight Configurator and enjoy a perfectly tuned FPV drone.
Everything you need to achieve the perfect tune for your FPV drone, from noise analysis to thermal prediction.
Visualizes gyro noise and D-term resonance across the frequency spectrum. Our neural network identifies the exact frequencies where dynamic notch filters should be placed for optimal noise reduction without adding latency.
Generate Betaflight CLI commands instantly. Copy and paste directly into your flight controller for immediate results.
Aggressive PID tuning can overheat motors. Our neural network predicts motor temperature based on your noise profile and recommends safe D-gain limits to protect your hardware.
Automatically configure gyro lowpass, D-term lowpass, and dynamic notch filters. Minimize filtering delay while maintaining clean motor signals for the smoothest possible flight.
Our neural network optimizes D_min, D_max, and feedforward settings specifically to eliminate prop wash oscillation during aggressive maneuvers and quick descents.
Whether you fly a tiny whoop, 5-inch freestyle quad, or 7-inch long range build, FPVtune delivers optimized Betaflight PID settings for your specific configuration.
Compatible with DShot150, DShot300, DShot600, and bidirectional DShot for RPM filtering.
Works with MPU6000, ICM20689, ICM42688, BMI270, and all other common gyroscopes.
Optimized profiles for freestyle, racing, cinematic, and long-range flying styles.
Stop guessing and start flying with confidence. Our neural network-powered approach delivers consistent, reliable results that traditional methods cannot match.
Master the fundamentals of Betaflight PID tuning and understand how each parameter affects your drone's flight characteristics.
The Proportional gain determines how aggressively your drone corrects errors. Higher P values make the quad more responsive but can cause oscillations. In Betaflight PID tuning, finding the right P gain is crucial for achieving crisp stick response without introducing vibrations.
Integral gain helps your drone maintain attitude against external forces like wind. During Betaflight PID tuning, proper I gain settings ensure your quad holds its position without drifting. Too much I gain causes slow oscillations, while too little results in poor hover stability.
Derivative gain dampens oscillations and reduces prop wash. Effective Betaflight PID tuning requires careful D gain adjustment to eliminate bounce-back without overheating motors. FPVtune analyzes your noise profile to recommend optimal D values for your specific setup.
Proper filter configuration is essential for successful Betaflight PID tuning. Gyro and D-term lowpass filters remove noise that can cause motor heating. Dynamic notch filters target specific resonance frequencies. FPVtune automatically calculates optimal filter cutoffs based on your blackbox data.
Feedforward anticipates stick movements for instant response. Advanced Betaflight PID tuning includes feedforward optimization to reduce latency and improve stick feel. Our neural network analyzes your flying style to recommend feedforward values that match your preferences.
Bidirectional DShot enables RPM-based filtering for cleaner motor signals. When performing Betaflight PID tuning with RPM filtering, you can run higher PID gains with less filtering delay. FPVtune detects RPM filter status and adjusts recommendations accordingly.
Common questions about Betaflight PID tuning and how FPVtune can help you achieve the perfect tune.
The best approach to Betaflight PID tuning is to start with a clean blackbox log from a hover and light maneuvers. Upload this log to FPVtune for smart analysis. Our system will identify noise patterns and generate optimized PID settings as a starting point for your tune.
Traditional Betaflight PID tuning can take hours or even days of test flights and adjustments. With FPVtune, you can get optimized PID settings in under 30 seconds. Simply upload your blackbox log and receive instant recommendations tailored to your drone.
Yes, FPVtune supports Betaflight PID tuning for all drone types including racing quads. Our neural network has been trained on thousands of racing drone logs and understands the specific requirements for low-latency, high-response tunes that competitive pilots need.
No prior Betaflight PID tuning experience is required. FPVtune is designed for pilots of all skill levels. Our neural network handles the complex analysis and provides ready-to-use CLI commands. Just copy and paste into Betaflight Configurator to apply your optimized tune.
FPVtune supports Betaflight PID tuning for versions 4.3, 4.4, and 4.5. Our neural network understands the differences between firmware versions and generates appropriate settings for your specific Betaflight installation. We regularly update our models to support the latest Betaflight releases.
Get neural network-optimized Betaflight PID settings in seconds. Pay only when you are satisfied with the analysis results.
Start Tuning NowSupports .BBL and .BFL files from Betaflight 4.5+