Proceedings ArticleDOI
Estimation of nonlinear airship parameters using modular neural network
TLDR
The estimated nonlinear airship parameters are found to be consistent with the DATCOM parameters which were used for open-loop simulation in data generation phase and validates the proposed methodology and could be extended to estimateAirship parameters from real flight data.Abstract:
The prime objective of this work is to estimate stability and control derivatives of an airship. The complete, nonlinear mathematical model of aerial vehicles has its aero model as a nonlinear function of angle of attack. This along with the necessity for an exhaustive dataset complicates the estimation procedure. In this work, data are generated by simulating the mathematical model of airship for different trim conditions obtained from continuation analysis. A modular neural network is then trained using back-propagation and Adam optimization algorithm for each aerodynamic coefficient separately. The estimated nonlinear airship parameters are found to be consistent with the DATCOM parameters which were used for open-loop simulation in data generation phase. This validates the proposed methodology and could be extended to estimate airship parameters from real flight data.read more
Citations
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References
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Journal ArticleDOI
Nonlinear Longitudinal Aerodynamic Modeling Using Neural Gauss-Newton Method
Rakesh Kumar,Ajoy Kanti Ghosh +1 more
Proceedings ArticleDOI
Data-Driven Method based Aerodynamic Parameter Estimation from Flight Data
Ajit Kumar,Ajoy Kanti Ghosh +1 more
Proceedings ArticleDOI
Airship trim and stability analysis using bifurcation techniques
TL;DR: In this paper, bifurcation analysis of a full six degrees of freedom model of an airship is carried out both in unconstrained and constrained conditions, and typical modes of airship dynamics and regions of stable flights are identified via this analysis.
Proceedings ArticleDOI
Autonomous maneuvering of a stratospheric airship
D Gobiha,Nandan K. Sinha +1 more
TL;DR: The closed-loop simulation results are presented which signify the robustness of the sliding mode based controller in achieving the commanded maneuver in the presence of modeled uncertainties and wind disturbances.
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