Regular Papers

International Journal of Control, Automation and Systems 2017; 15(3): 1302-1313

Published online May 22, 2017

https://doi.org/10.1007/s12555-016-0176-6

© The International Journal of Control, Automation, and Systems

The LQR Baseline with Adaptive Augmentation Rejection of Unmatched Input Disturbance

Xin Wang, Xin Chen*, and Liyan Wen

Nanjing University of Aeronautics and Astronautics

Abstract

In this paper, disturbance rejection algorithm based on model reference adaptive control (MRAC) augmentation of linear quadratic regulator (LQR) controller is investigated for uncertain turbulence disturbances. The direct adaptive state feedback optimal controller based on an LDU gain decomposition parameterization is designed to 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 matched and unmatched uncertainties. Finally, simulation results are presented to illustrate the effectiveness of the proposed MRAC augmentation of LQR controller."

Keywords Adaptive control, LDU decomposition, LQR basline controller, tracking performance.

Article

Regular Papers

International Journal of Control, Automation and Systems 2017; 15(3): 1302-1313

Published online June 1, 2017 https://doi.org/10.1007/s12555-016-0176-6

Copyright © The International Journal of Control, Automation, and Systems.

The LQR Baseline with Adaptive Augmentation Rejection of Unmatched Input Disturbance

Xin Wang, Xin Chen*, and Liyan Wen

Nanjing University of Aeronautics and Astronautics

Abstract

In this paper, disturbance rejection algorithm based on model reference adaptive control (MRAC) augmentation of linear quadratic regulator (LQR) controller is investigated for uncertain turbulence disturbances. The direct adaptive state feedback optimal controller based on an LDU gain decomposition parameterization is designed to 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 matched and unmatched uncertainties. Finally, simulation results are presented to illustrate the effectiveness of the proposed MRAC augmentation of LQR controller."

Keywords: Adaptive control, LDU decomposition, LQR basline controller, tracking performance.

IJCAS
May 2024

Vol. 22, No. 5, pp. 1461~1759

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