Intelligent Quadcopter Control Using Artificial Neural Networks

نویسندگان

چکیده

An advanced controller architecture and design for quadcopter control implementation is proposed in this study. Instead of using only the error information as input to controller, reference measured outputs are used separately independent from each other. This enhances performance being a highly non-linear platform. In study single layer neural network directly controller. A complex grown an initially simple PID elevates need time consuming search huge parameter space due very high dimensions. About ten percent improvement over state-of-the-art controllers observed results reported both numerically graphically. Promising encourage use type various real applications.

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ژورنال

عنوان ژورنال: Fen ve mühendislik bilimleri dergisi

سال: 2023

ISSN: ['2147-5296', '2149-3367']

DOI: https://doi.org/10.35414/akufemubid.1229424