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Quadcopter Flight Control using Modular Spiking Neural Networks
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The dynamics of a quadcopter are unstable and non-linear. As a result, the quadcopter's flight relies heavily on the Flight controller. Here we present a robust control scheme which can act as the flight controller for the quadcopter. We then describe a scheme to translate this scheme into a Spiking Neural Network using a modular approach to control the quadcopter flight in realistic environmental conditions (presence of noisy wind, IMU noise, and delayed signals). (The final part was left incomplete as I graduated and shifted my focus to other questions)
Title: Quadcopter Flight Control using Modular Spiking Neural Networks
Description:
The dynamics of a quadcopter are unstable and non-linear.
As a result, the quadcopter's flight relies heavily on the Flight controller.
Here we present a robust control scheme which can act as the flight controller for the quadcopter.
We then describe a scheme to translate this scheme into a Spiking Neural Network using a modular approach to control the quadcopter flight in realistic environmental conditions (presence of noisy wind, IMU noise, and delayed signals).
(The final part was left incomplete as I graduated and shifted my focus to other questions).
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