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State-of-the-Art Intelligent Flight Control Systems in Unmanned Aerial Vehicles

Fendy Santoso, Matthew Garratt, Sreenatha G. Anavatti

发表年份
2017
引用次数
139

摘要

We discuss state-of-the-art intelligent robotic aircraft with the special focus on evolutionary autopilots for small unmanned aerial vehicles (UAVs). Under the umbrella of adaptive autopilots, we highlight the pros and cons of the most widely implemented intelligent algorithms against the navigational and maneuvering capabilities of small UAVs. We present several cutting-edge applications of bioinspired flight control systems that have the capability of self-learning. We also highlight several research opportunities and challenges associated with each technique.

关键词

AeronauticsState (computer science)Remotely operated underwater vehicleEngineeringControl (management)Control systemControl engineeringComputer scienceAerospace engineeringRobot

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