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International Journal of Aerospace Engineering
Volume 2015, Article ID 878971, 16 pages
http://dx.doi.org/10.1155/2015/878971
Research Article

Robust Predictive Functional Control for Flight Vehicles Based on Nonlinear Disturbance Observer

College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China

Received 29 March 2015; Revised 12 July 2015; Accepted 14 July 2015

Academic Editor: Ronald M. Barrett

Copyright © 2015 Yinhui Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

A novel robust predictive functional control based on nonlinear disturbance observer is investigated in order to address the control system design for flight vehicles with significant uncertainties, external disturbances, and measurement noise. Firstly, the nonlinear longitudinal dynamics of the flight vehicle are transformed into linear-like state-space equations with state-dependent coefficient matrices. And then the lumped disturbances are considered in the linear structure predictive model of the predictive functional control to increase the precision of the predictive output and resolve the intractable mismatched disturbance problem. As the lumped disturbances cannot be derived or measured directly, the nonlinear disturbance observer is applied to estimate the lumped disturbances, which are then introduced to the predictive functional control to replace the unknown actual lumped disturbances. Consequently, the robust predictive functional control for the flight vehicle is proposed. Compared with the existing designs, the effectiveness and robustness of the proposed flight control are illustrated and validated in various simulation conditions.