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Data-Driven Aircraft Modeling for Robust Reinforcement Learning Control Synthesis With Flight Test Validation
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Low-fidelity engineering-level dynamic models are commonly employed while designing uncrewed aircraft flight controllers due to their rapid development and cost-effectiveness. However, during adverse conditions, or complex ...
Collision and Obstacle Avoidance in Unmanned Aerial Systems Using Morphing Potential Field Navigation and Nonlinear Model Predictive Control
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: This paper presents a novel approach to collision and obstacle avoidance in fixedwing unmanned aerial systems (UASs), vehicles with high speed and high inertia, operating in proximal or congested settings. A unique ...