A nonlinear dynamic inversion-based neurocontroller for unmanned combat aerial vehicles during aerial refuelling

DOI10.2478/amcs-2013-0007zbMath1293.93555OpenAlexW2041482768MaRDI QIDQ2877522

Aarti Panday, Jimoh O. Pedro, Laurent N. Dala

Publication date: 22 August 2014

Published in: International Journal of Applied Mathematics and Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.2478/amcs-2013-0007

zbMATH Keywords

neurocontrollernonlinear dynamic inversionaerial refuellingtrim and stability analysisunmanned combat aerial vehicle (UCAV)

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Automated systems (robots, etc.) in control theory (93C85)

Related Items (5)

A unified approach to nonlinear dynamic inversion control with parameter determination by eigenvalue assignment ⋮ Adaptive integral-sliding-mode control strategy for maneuvering control of F16 aircraft subject to aerodynamic uncertainty ⋮ Systematic fault tolerant control based on adaptive thau observer estimation for quadrotor UAVs ⋮ Development and experimental investigation of a Quadrotor's robust generalized dynamic inversion control system ⋮ Modeling and predefined-time anti-disturbance control for the aerial refueling phase of receiver aircraft

Cites Work

• Nonlinear \(H_\infty\) robust control applied to F-16 aircraft with mass uncertainty using control surface inverse algorithm
• Flight control design using non-linear inverse dynamics
• Input Constraints Handling in an MPC/Feedback Linearization Scheme
• Adaptive nonlinear control system design for helicopter robust command augmentation
• Neuro-controller design for nonlinear fighter aircraft maneuver using fully tuned RBF networks
• Flight control design using robust dynamic inversion and time-scale separation
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