Can Öznurlu, Berke Bayrı, Ömür Uğur, Data-Driven Model Discovery and Control: Real-Time Implementation to Highly Maneuverable Aircraft Lateral-Directional Dynamics, in: 10th International Conference on Recent Advances in Air and Space Technologies (RAST), 7–9 June 2023 (RAST 2023 Conference).
Abstract
The aim of this study is to utilize the Dynamic Mode Decomposition with Control (DMDc), a data-driven model discovery technique, to obtain a model for the lateral-directional motion of a highly maneuverable aircraft for the purpose of implementing integral action based Model Predictive Control (MPC). The model's ability to withstand noisy conditions is evaluated, and its practicality is assessed by analyzing its computational requirements. The computational time and storage requirements are assessed under minimal system requirements. Real-time testing on Speedgoat equipment indicates that the DMDc-MPC algorithm has low computational costs and is suitable for systems with limited computational power and portability.
Keywords: DMDc, Data-Driven Model Discovery, MPC, System Identification, Real-Time