neuroflight | first open source neuro-flight controller software

neuroflight is a C library. neuroflight has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Neuroflight is the first open source neuro-flight controller software (firmware) for remotely piloting multi-rotors and fixed wing aircraft. Neuroflight's primary focus is to provide optimal flight performance. Neuroflight aims to address limitations in PID control used in Betaflight through the use of neural network flight control (neuro-flight control). Neuro-flight control has been actively researched for more than a decade. In contrast to traditional control algorithms, neuro-flight control has the ability to adapt, plan, and learn. To account for dynamic changes Betaflight has introduced gain scheduling to increase the I gain when certain conditions are met, for example low voltages or high throttle (anti-gravity). On the other hand, neuro-flight control learns the true underlying dynamics of the aircraft allowing for optimal control depending on the current aircraft state. For example neuro-flight control has the potential to learn the batteries discharge rates to dynamically adjust control signal outputs accordingly. The goal of this work is to provide the community with a stable platform to innovate and advance development of neuro-flight control design for drones, and to take a step towards making neuro-flight controllers mainstream. For further details refer to our preprint and please use the following BibTex entry to cite our work,.