Abstract
The use of indirect adaptive methods to augment the nonlinear Dynamic Inversion (DI) algorithm for actuator failure reconfiguration is investigated in this paper. The ability of the adaptive reconfigurable DI algorithm to tolerate different types of actuator failure is illustrated by using a hypersonic cruise vehicle model. With an actuator failed, the on-board aerodynamic model of the DI algorithm is adapted to the vehicle performance using an online parameter identification algorithm based on a Kalman filter approach. A reconfigurable control allocation algorithm based on the weighted pseudo-inverse approach is used to redistribute the actuator commands to the remaining healthy control surfaces. To explicitly quantify the stability and performance robustness properties, the Structured Singular Value (SSV), or P-analysis, in combination with the DI controller is first formulated. Improved robustness properties of the adaptive reconfigurable controller are demonstrated through P-analysis.
Published Version
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