Framework demonstrates effective control system integration for aircraft ground dynamics, highlighting data exchange under crosswind conditions.
This research introduces a simulation framework for aircraft ground roll, integrating a dynamic model developed in Simcenter Amesim with a control system implemented in MATLAB/Simulink through the Functional Mock-up Interface (FMI). The study aims to provide a robust environment for analysing and validating advanced ground control strategies under realistic runway roll conditions. The aircraft model, based on a 6DOF tricycle configuration, includes steering and differential braking features adapted from a validated Amesim taxi model, using representative data of a commercial turboprop aircraft. The framework enables bidirectional communication between Amesim and MATLAB through FMI and Co-Simulation, allowing performance evaluation of the control system. The controller employs a structured H-Infinity approach combined with a control allocator to coordinate rudder, nose wheel, and differential braking actions, ensuring runway centerline tracking and stability even in the presence of crosswind and for different runway conditions. The FMI integration process includes interface remapping, FMI export from Simulink, and closed-loop coupling with the Amesim model. Additional simulations were performed using a reverse configuration, with Amesim running as a co-simulation module within MATLAB via an S-function interface, to validate interoperability and numerical consistency. Comparative analysis between FMI and Co-Simulation confirm consistent data exchange and equivalent dynamic responses across platforms. The developed framework demonstrates the feasibility, flexibility, and accuracy of hybrid Amesim–MATLAB environments for studying complex aircraft ground dynamics configurations and provides a foundation for future work.
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Afilipoae et al. (2025) studied this question.
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