Application of LMI method for optimization of sensors system for control of nonstationary elastic vehicle

Author

Brodsky, S.A. ; Nebylov, A.V. ; Panferov, A.I.

Author_Institution

Int. Inst. for Adv. Aerosp. Technol., State Univ. of Aerosp. Instrum., St. Petersburg, Russia

fYear

2009

fDate

11-13 June 2009

Firstpage

621

Lastpage

626

Abstract

The statement of problem of optimization of sensors system in the control system of the elastic aerospace vehicle under condition of the stochastic system control design on the base of quadratic performance index is considered. Magnitudes of time-average values of quadratic performance indexes and maximum feasible values of dispersion of estimation of state vector are considered as linear matrix-inequalities-restrictions in the sensor system optimization problem on the base of minimization of offered goal function related with the number, type and accuracy of sensors. The uniqueness of the solution and high performance of the suggested method are typical for the convex programming problems.

Keywords

aerodynamics; control system synthesis; convex programming; elasticity; linear matrix inequalities; minimisation; optimal control; performance index; quadratic programming; sensors; space vehicles; stochastic systems; LMI method; aerodynamics; convex programming problem; function minimization; linear matrix-inequality; nonstationary elastic aerospace vehicle control system; optimal control; quadratic performance index; sensor system optimization problem; state vector estimation; stochastic system control design; time-average value; Aerospace control; Control design; Control systems; Design optimization; Optimization methods; Performance analysis; Sensor systems; State estimation; Stochastic systems; Vehicles; Kalman filter; linear matrix inequalities; measurement optimization; optimal control;

fLanguage

English

Publisher

ieee

Conference_Titel

Recent Advances in Space Technologies, 2009. RAST '09. 4th International Conference on

Conference_Location

Istanbul

Print_ISBN

978-1-4244-3627-9

Electronic_ISBN

978-1-4244-3628-6

Type

conf

DOI

10.1109/RAST.2009.5158267

Filename

5158267