In this paper, disturbance rejection algorithm based on model reference adaptive control (MRAC) augmentationof linear quadratic regulator (LQR) controller is investigated for uncertain turbulence disturbances. Thedirect adaptive state feedback optimal controller based on an LDU gain decomposition parameterization is designedto solve the turbulence compensation problem to enhance control performance. Under the proposed control techniques,the bounded stability is achieved and the controller is able to remain within tight bounds on the matchedand unmatched uncertainties. Finally, simulation results are presented to illustrate the effectiveness of the proposedMRAC augmentation of LQR controller.
In this paper, disturbance rejection algorithm based on model reference adaptive control (MRAC) augmentationof linear quadratic regulator (LQR) controller is investigated for uncertain turbulence disturbances. Thedirect adaptive state feedback optimal controller based on an LDU gain decomposition parameterization is designedto solve the turbulence compensation problem to enhance control performance. Under the proposed control techniques,the bounded stability is achieved and the controller is able to remain within tight bounds on the matchedand unmatched uncertainties. Finally, simulation results are presented to illustrate the effectiveness of the proposedMRAC augmentation of LQR controller.