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Fault tolerant control for nonlinear aircraft based on feedback linearization

Tang, Yimeng


Yimeng Tang



The thesis concerns the fault tolerant flight control (FTFC) problem for nonlinear aircraft by making use of analytical redundancy. Considering initially fault-free flight, the feedback linearization theory plays an important role to provide a baseline control approach for de-coupling and stabilizing a non-linear statically unstable aircraft system. Then several reconfigurable control strategies are studied to provide further robust control performance:

- A neural network (NN)-based adaption mechanism is used to develop reconfigurable FTFC performance through the combination of a concurrent updated learninglaw.
- The combined feedback linearization and NN adaptor FTFC system is further improved through the use of a sliding mode control (SMC) strategy to enhance the convergence of the NN learning adaptor.
- An approach to simultaneous estimation of both state and fault signals is incorporated within an active FTFC system.The faults acting independently on the three primary actuators of the nonlinear aircraft are compensated in the control system.

The theoretical ideas developed in the thesis have been applied to the nonlinear Machan Unmanned Aerial Vehicle (UAV) system. The simulation results obtained from a tracking control system demonstrate the improved fault tolerant performance for all the presented control schemes, validated under various faults and disturbance scenarios.

A Boeing 747 nonlinear benchmark model, developed within the framework of the GARTEUR FM-AG 16 project “fault tolerant flight control systems”,is used for the purpose of further simulation study and testing of the FTFC scheme developed by making the combined use of concurrent learning NN and SMC theory. The simulation results under the given fault scenario show a promising reconfiguration performance.


Tang, Y. (2013). Fault tolerant control for nonlinear aircraft based on feedback linearization. (Thesis). University of Hull. Retrieved from

Thesis Type Thesis
Deposit Date Jan 24, 2014
Publicly Available Date Feb 23, 2023
Keywords Engineering
Public URL
Additional Information Department of Engineering, The University of Hull
Award Date Jul 1, 2013


Thesis (8.1 Mb)

Copyright Statement
© 2013 Tang, Yimeng. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder.

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