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Improved guaranteed cost control and quantum adaptive control are developed in this study for a quadrotor helicopter with state delay and actuator faults. Improved guaranteed cost control is designed to eliminate disturbance effects and guarantee the robust stability of a quadrotor helicopter with state delay. The inapplicability of guaranteed cost control to the quadrotor linear model is addressed by combining guaranteed cost control with a model reference linear quadratic regulator. In the event of actuator faults, quadrotor tracking performance is maintained through quantum adaptive control. Finally, the availability of the proposed scheme is verified through numerical simulation. [ABSTRACT FROM AUTHOR]

This study considers the attitude control problems of a quadrotor helicopter with actuator failures and external disturbance and thus proposes a self-repairing control scheme via adaptive control and quantum logic. An improved model reference adaptive compensation controller is designed to compensate for the failures and disturbance, as well as to guarantee that the attitude angles of the quadrotor helicopter track the state output of a given reference system in which the upper bounds of disturbance and the unparameterized stuck faults are unknown. The asymptotic state tracking properties of the designed adaptive system are proven using Lyapunov stability theory. In addition, quantum logic is introduced to increase the control accuracy of this method. Finally, a numerical simulation example is presented to demonstrate the validity of the proposed control scheme. [ABSTRACT FROM AUTHOR]

This paper proposes a robust adaptive strategy for longitudinal dynamics of generic hypersonic flight vehicles with uncertainties and faults. Flight vehicles are generally subjected to disturbances and multiple faults, which should be compensated for to preclude performance degradation. To solve this problem, considering fast abrupt faults such as actuator stuck faults, an adaptive fault observer is added into the nominal dynamic inversion controller to accommodate the effects of faults with discrete function patterns. In addition, since the above observer is designed only for fast abrupt faults, an online support vector machine compensator is proposed to learn the state error caused by other faults. As the error contains both dynamic uncertainties and slow variation faults, additional controllers are not required to get rid of the unwanted faults. Stability of the overall closed-loop system is analyzed with the Lyapunov stability theory, and output tracks the expected trajectory. The simulation is presented with multiple faults to verify the effectiveness and feasibility of the proposed scheme. [ABSTRACT FROM AUTHOR]