What is it about?
This paper examines a new approach for on-line identification and control that requires weaker excitation than the existing approaches based on Least Square schemes and works in closed loop systems. This approach also 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.
The following have contributed to this page: Dr Itzhak Barkana