Koopman Operator-Based Identification of Twin Rotor Aerodynamic System
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Keywords:
Koopman Operator, TRAS, Lifting Data, Observables, Gauss RBFAbstract
This research paper provides an unusual approach for identifying the Twin Rotor Aerodynamic
System (TRAS) through the utilization of Koopman operator theory. The TRAS, known for its inherent
nonlinear dynamics, poses significant challenges in modeling and control due to its complex aerodynamic
interactions. Traditional modeling techniques often struggle to capture the intricate dynamics accurately.
In this work, we propose an effective method to identify the TRAS model: the Koopman operator, a potent
mathematical tool for investigating nonlinear dynamical systems. System identification can be obtained by
the Koopman operator, which gives an infinite-dimensional linear system by transforming the nonlinear
dynamics. Through rigorous analysis and simulation studies, we demonstrate the effectiveness and accuracy
of our proposed approach in capturing the nonlinear behavior of the TRAS. This research contributes to
advancing our understanding of complex aerodynamic systems and lays the groundwork for developing
robust control strategies for applications such as unmanned aerial vehicles (UAVs) and rotorcraft.
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