LPV Model-Based Multivariable Indirect Adaptive Control of Damaged Asymmetric Aircraft
Publication: Journal of Aerospace Engineering
Volume 32, Issue 6
Abstract
Owing to the complexity of aircraft structural damage, directly measuring the pattern and severity of damage using onboard sensors is difficult. This paper proposes a linear parameter-varying (LPV) model–based online estimation and indirect adaptive control scheme for aircraft with severe structural damage. Specifically, the unmeasurable damage parameters are designed as the gain scheduling coefficients (GSCs) of the LPV model. By employing the proposed LPV model, the online computational load is significantly reduced compared with that of typical existing methods. Furthermore, an online identification algorithm with a Lyapunov stability guarantee is presented to estimate the GSCs, and an online-designed model reference controller that combines a state-feedback decoupling controller and a disturbance rejection term is adopted to implement attitude control. The closed-loop system is simulated with the National Aeronautics and Space Administration (NASA) generic transport model under a left wing tip damage scenario. The simulation results demonstrate that the proposed method can estimate GSCs and the uncertainty of the aircraft rapidly and accurately, and the closed-loop system precisely achieves the desired attitude responses.
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Acknowledgments
This research was funded by the National Natural Science Foundation of China (Grant Nos. 61273099 and 61304030) and the Fundamental Research Funds for the Central Universities (NJ20160026).
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Published In
Journal of Aerospace Engineering
Volume 32 • Issue 6 • November 2019
Copyright
©2019 American Society of Civil Engineers.
History
Received: Sep 7, 2017
Accepted: Jun 4, 2019
Published online: Aug 20, 2019
Published in print: Nov 1, 2019
Discussion open until: Jan 20, 2020
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