DocumentCode
183865
Title
Discrete-time gain-scheduled model-matching flight controller using inexact scheduling parameters
Author
Sato, Mitsuhisa
Author_Institution
Inst. of Space Technol. & Aeronaut., Japan Aerosp. Exploration Agency, Mitaka, Japan
fYear
2014
fDate
8-10 Oct. 2014
Firstpage
171
Lastpage
176
Abstract
This paper concerns the design problem of discrete-time gain-scheduled flight controllers for the lateral-directional motions of an airplane. In our design, equivalent airspeed is set as the scheduling parameter, but its values are affected by measurement errors due to its location (so-called “position error”) and finite resolutions. To accommodate these errors, we propose a design method for gain-scheduled controllers, in which only inexact scheduling parameters are supposed to be provided, by incorporating constant scaling matrices into an existing design method for the reduction of conservatism due to multiple uncertainty blocks in small gain theory framework. We design two gain-scheduled flight controllers, one is designed by our proposed method and the other is designed without consideration of the uncertainties. We conducted flight tests and illustrate the effectiveness of our method by comparing control performances of two controllers.
Keywords
aircraft control; control system synthesis; discrete time systems; uncertain systems; airspeed; conservatism reduction; constant scaling matrices; control performance analysis; controller design problem; discrete-time gain-scheduled model-matching flight controller; finite resolutions; flight tests; inexact scheduling parameters; lateral-directional motions; measurement errors; position error; small-gain theory framework; uncertainty blocks; Atmospheric modeling; Delays; Design methodology; Iterative methods; Linear matrix inequalities; Symmetric matrices; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications (CCA), 2014 IEEE Conference on
Conference_Location
Juan Les Antibes
Type
conf
DOI
10.1109/CCA.2014.6981347
Filename
6981347
Link To Document