An approach for online identification and control that requires weaker excitation than the existing approaches based on least-squares schemes and closed-loop systems is examined. It uses multiple-objective optimization theory to resolve the conflict between identification and controller performance as they compete for the only available resource, the inputs to the aircraft. The approach is applied to a longitudinal model of a representative linearized high-performance aircraft model. Simulation results compare the final controller with a conventional gain-scheduled pitch command augmentation system. It is demonstrated that by allowing some control input to be given to the identification process, the controller's overall performance is improved.<>
Online identification and control of linearized aircraft dynamics
IEEE Aerospace and Electronic Systems Magazine ; 7 , 7 ; 56-60
1992-07-01
490227 byte
Article (Journal)
Electronic Resource
English
Online identification and control of linearized aircraft dynamics
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