Development of an intelligent flight propulsion and control system - Nonlinear adaptive control

This paper describes the combination of Approximate Feedback Linearization with Neural Network augmentation to provide transport aircraft with a backup flight control system as recommended by the NTSB. The direct adaptive control does not rely on on-line parameter identification or on-line controller redesign. The on-line neural network compensates for unmodeled nonlinearities and trim errors. The architecture is applied to a midsize transport aircraft using propulsion only. Changes in vehicle configuration and operating conditions are handled without extensive tuning or controller redesign.

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