Simple adaptive control of large flexible space structures

Simple adaptive control procedures that do not require explicit parameter identification have been shown to be fit for control of large systems such as flexible structures. It is of interest, however, to test their robustness when fast adaptation is needed or when the resulting adaptive control system must confront finite sensor and actuator dynamics or parasitic disturbances. Flexible structures case studies using parallel feedforward and simplified adaptive controllers are used to present a robust adaptive control solution to these problems. The detailed proof of robust stability of the adaptive control system is also presented. Simulations illustrate the simplicity of implementation and the power of the proposed algorithm in difficult realistic situations     

Online identification and control of linearized aircraft dynamics

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