DocumentCode
2222674
Title
Optimal Control of Formation Flight Based on MLD Systems
Author
Du, Miao ; Yamashita, Yuh
Author_Institution
Hokkaido Univ., Sapporo
fYear
2007
fDate
1-3 Oct. 2007
Firstpage
904
Lastpage
909
Abstract
In this paper, formation flight is modeled as a mixed logical dynamical (MLD) system, which is described by linear equations subject to linear inequalities involving real and integer variables. This model is built by discretizing the continuous-time nonlinear kinematical equations of formation flight system through the Euler method, quantizing its physical input variables, and integrating operating constraints. The control objective is to maintain the relative positions and orientations between aircraft close to their desired values to keep a formation geometry without potential collisions despite the maneuvering of the leader. The resulting MLD system of formation flight can be governed by the mixed integer predictive control (MIPC) law, and the optimal predictive control input can be obtained by solving an equivalent mixed integer linear programming (MILP) problem. This MLD model essentially considers the three dimensional motion of aircraft. The effectiveness of this method is demonstrated by simulation results.
Keywords
aircraft control; attitude control; continuous time systems; integer programming; linear programming; nonlinear equations; optimal control; position control; predictive control; time-varying systems; MLD systems; aircraft; continuous-time nonlinear kinematical equations; formation flight; linear equations; linear inequalities; mixed integer linear programming; mixed integer predictive control; mixed logical dynamical system; optimal control; optimal predictive control; relative orientations; relative positions; Aerospace control; Aircraft; Control system synthesis; Geometry; Input variables; Mixed integer linear programming; Nonlinear equations; Optimal control; Piecewise linear approximation; Predictive control;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Applications, 2007. CCA 2007. IEEE International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-0442-1
Electronic_ISBN
978-1-4244-0443-8
Type
conf
DOI
10.1109/CCA.2007.4389348
Filename
4389348
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