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Tuning a dynamic inversion pitch axis autopilot using McFarlane–Glover loop shaping
Author(s) -
Papageorgiou George,
Polansky Michal
Publication year - 2008
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.864
Subject(s) - autopilot , robustness (evolution) , control theory (sociology) , inversion (geology) , estimator , computer science , stewart platform , control engineering , engineering , mathematics , control (management) , kinematics , physics , paleontology , biochemistry , chemistry , statistics , structural basin , artificial intelligence , biology , gene , classical mechanics
Honeywell and others have successfully applied dynamic inversion control to many flight control problems. It is a simple and systematic design procedure that guarantees nominal performance. However, unlike ℋ ∞ methods, it does not provide any robustness guarantees. In this paper, we propose a procedure for designing a linear time‐invariant dynamic inversion autopilot with guaranteed robustness. We will use the generalized stability margin to choose the dynamics that will be inverted ( A and B matrices), and McFarlane–Glover loop shaping to select the C matrix of the inverted plant, the desired dynamics, and a robust state estimator. The proposed procedure is illustrated by designing a pitch axis autopilot that achieves robust performance with a number of Boeing 747 aircraft models. Copyright © 2008 John Wiley & Sons, Ltd.