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Re-entry vehicle autopilot design using dynamic inversion with L1 adaptive control augmentation
Dynamic model inversion is one of the most widely used nonlinear control techniques for aerospace vehicle flight control. However, the inversion of the model imperfection and inaccurate aerodynamic data invariably lead to performance degradation and controller instability. In this paper, an augmente...
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Published in: | International journal of dynamics and control 2024-03, Vol.12 (3), p.847-860 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
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Summary: | Dynamic model inversion is one of the most widely used nonlinear control techniques for aerospace vehicle flight control. However, the inversion of the model imperfection and inaccurate aerodynamic data invariably lead to performance degradation and controller instability. In this paper, an augmented nonlinear dynamic inversion with adaptive controller is proposed for re-entry vehicle (REV). The proposed adaptive controller is based on L1 adaptive controller augmentation for compensating the matched and unmatched system uncertainties. Furthermore, the proposed L1 adaptive controller compensates the REV external disturbance due to severe variation in dynamic pressure, altitude, velocity, sideslip, and angle of attack during re-entry phase. The proposed re-entry vehicle (REV) adaptive flight controllers are evaluated through nonlinear high-fidelity flight 6-DoF simulations with nominal and perturbed aerodynamic model scenarios using MATLAB/Simulink environment. Finally, the behavior of the designed systems with the engagement of the adaptation algorithm and without the adaptation is demonstrated in the results and clarifying the miss-distance that resulted from each scenario. |
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ISSN: | 2195-268X 2195-2698 |
DOI: | 10.1007/s40435-023-01210-9 |