Print Email Facebook Twitter Adaptive Incremental Nonlinear Dynamic Inversion for Consistent Pitch Rate Control Title Adaptive Incremental Nonlinear Dynamic Inversion for Consistent Pitch Rate Control Author Smit, Beau (TU Delft Aerospace Engineering) Contributor van Kampen, E. (mentor) Pollack, T.S.C. (graduation committee) Degree granting institution Delft University of Technology Programme Aerospace Engineering Date 2021-02-19 Abstract Control augmentation systems based on Incremental Nonlinear Dynamic Inversion (INDI) are able to provide high-performance nonlinear control without the need for a model of the complete system. Considering a pitch rate control law for a fixed-wing aircraft, only a model for the elevator control effectiveness (CE) and sensor feedback of the pitch acceleration are required for the model inversion. Despite the increased robustness against model error due to the decreased model dependency, control laws based on INDI could still show performance variation when the on-board CE model deviates from the actual CE. This thesis will put this in the context of the control performance of high-performance aircraft. Furthermore, multiple adaptive INDI control techniques are investigated as possible solutions. This study revealed that adaptive control based on Least-Mean-Square (LMS) parameter estimation has the most potential. A second analysis using handling quality and stability (HQ&S) requirements showed that this approach is able to decrease variation in the HQ&S as well. However, the results also show that HQ&S variation for large centre of gravity shifts could not always be fully mitigated by adaptive control as it is possible that the time-scale separation assumption becomes impaired. Subject Incremental Nonlinear Dynamic Inversionflight controlAdaptive controlHandling Qualities To reference this document use: http://resolver.tudelft.nl/uuid:3014e195-28c7-49e9-9e29-1e468d045325 Part of collection Student theses Document type master thesis Rights © 2021 Beau Smit Files PDF Thesis_report_05_02_2021_ ... u_Smit.pdf 6.98 MB Close viewer /islandora/object/uuid:3014e195-28c7-49e9-9e29-1e468d045325/datastream/OBJ/view