DocumentCode :
3542201
Title :
Mixed H2/H gain scheduled state feedback control for an airborne dispenser pitch-axis autopilot
Author :
Hui, Li ; Huang, Yu ; Tao, Zhang ; Jingyan, Song ; Tianshu, Wang
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
16-19 Aug. 2009
Abstract :
This paper presents a mixed H2/Hinfin, state feedback control and its application to airborne dispenser pitch-axis autopilot design. Linear matrix inequality conditions that depend only on the vertices of polytope are given for existence of a stabilizing gain scheduled state feedback for linear parameter-varying system in convex polytopic domain, and the solution of the controller is given. The proposed method has the potential to yield less conservative results where the parameters involved can be measured or estimated online because some additional free variables are introduced to LMIs. The augmented system of airborne dispenser pitch-axis is modeled with mixed sensitivity method, applying the proposed method, good transient performance, good steady performance and good capability of disturbance rejection are readily achieved.
Keywords :
Hinfin control; aerospace control; convex programming; linear matrix inequalities; linear systems; military systems; scheduling; state feedback; weapons; airborne dispenser pitch-axis autopilot design; convex polytopic domain; disturbance rejection; gain scheduled state feedback stabilizing; guided weapon; linear matrix inequality conditions; linear parameter-varying system; mixed H2/Hinfin gain scheduled state feedback control; mixed sensitivity method; Automatic control; Control systems; Design automation; Gain measurement; Hydrogen; Instruments; Linear matrix inequalities; Robust stability; State feedback; Time varying systems; LMIs; airborne dispenser; gain scheduled; state feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electronic Measurement & Instruments, 2009. ICEMI '09. 9th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3863-1
Electronic_ISBN :
978-1-4244-3864-8
Type :
conf
DOI :
10.1109/ICEMI.2009.5274232
Filename :
5274232
Link To Document :
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