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Real-Time System based on a Neural Network and PID Flight Control |
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PP: 395-402 |
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doi:10.18576/amis/100202
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Author(s) |
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Valeria Artale,
Mario Collotta,
Cristina Milazzo,
Giovanni Pau,
Angela Ricciardello,
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Abstract |
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| The modern flight control systems are complex since they have a non-linear nature. Also, modern aerospace vehicles are
expected to have non-conventional flight envelopes and, in order to operate in uncertain environments, they must guarantee a high level
of robustness and adaptability. A Neural Networks controller can be used in applications with manned or unmanned aerial vehicles.
The paper shows the mathematical model for hexacopter dynamics and a comparison between two different technique for stabilization
and trajectory control: proportional,integral, derivative controller and real rime system controller based on Neural Networks. Numerical
simulations are performed in order to validate both mathematical model and control approaches. |
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