Fault tolerant flight control system for the tilt-rotor UAV

DOI10.1016/j.jfranklin.2013.01.014zbMath1287.93028OpenAlexW2066719315MaRDI QIDQ2451864

Jonghee Bae, Sungwan Kim, Sewook Park, Youdan Kim

Publication date: 26 May 2014

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2013.01.014

zbMATH Keywords

fault tolerant controlfault detection and isolation (FDI) processfederated Kalman filtermodel error control synthesisunmanned aerial vehicle (UAV) systemvertically take-off and landing (VTOL)

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Estimation and detection in stochastic control theory (93E10) Automated systems (robots, etc.) in control theory (93C85)

Related Items (8)

Nonlinear model predictive control and guidance for a propeller-tilting hybrid unmanned air vehicle ⋮ Fault-tolerant control for commercial aircraft with actuator faults and constraints ⋮ Formation control as a classical decentralized multivariable problem: performance, robustness, cross-coupling and perturbation rejection ⋮ Almost output regulation for the conversion mode of tiltrotor aircraft via switched T-S fuzzy modeling ⋮ Decentralized finite-time adaptive fault-tolerant synchronization tracking control for multiple UAVs with prescribed performance ⋮ Suspended load path tracking control using a tilt-rotor UAV based on zonotopic state estimation ⋮ Intelligent attitude and flapping angles estimation of flybarless helicopters under near-hover conditions ⋮ Robust finite-time tracking for uncertain linear systems with actuator faults

Cites Work

• Actuator fault detection in nonlinear uncertain systems using neural on-line approximation models
• Nonlinear predictive controllers for continuous systems
• Predictive Filtering for Attitude Estimation Without Rate Sensors
• Predictive Filtering for Nonlinear Systems
• Sensor bias fault isolation in a class of nonlinear systems

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