DocumentCode :
3275061
Title :
Variable robustness control design for system of aerospace vehicle
Author :
Haider, Syed Zeeshan ; Khan, Kunwar Faraz Ahmed ; Awan, Asad Ullah ; Liaquat, Muwahida
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Sci. & Technol., Islamabad, Pakistan
fYear :
2015
fDate :
20-22 May 2015
Firstpage :
103
Lastpage :
108
Abstract :
A robust control is developed for the system of aerospace vehicle via variable robustness control (VRC) algorithm. Aerospace vehicle dynamics contain uncertainties due to cross coupling between longitudinal and lateral dynamics. The proposed scheme makes the system of aerospace vehicle impervious of uncertainties ensuring high performance. The variable robustness control technique is based upon scenario approach of robust control design which gives flexibility of modulating robustness in control design. Scenario approach is a probabilistic approach in which cost function can be guaranteed with a certain probability. The effectiveness of proposed control design is established in presence of unknown non-linear dynamics. VRC uses convex optimization of constraints formulated in the form of linear matrix inequalities. The performance of proposed technique is tested in comparison with H control design technique.
Keywords :
H control; aerospace control; control system synthesis; convex programming; linear matrix inequalities; nonlinear dynamical systems; probability; robust control; uncertain systems; vehicle dynamics; H control design technique; VRC algorithm; aerospace vehicle dynamics; aerospace vehicle system; convex optimization; lateral dynamics; linear matrix inequalities; longitudinal dynamics; noninear dynamics; probabilistic approach; robust control design; variable robustness control design; Aerodynamics; Algorithm design and analysis; Control design; Mathematical model; Robustness; Uncertainty; Vehicles; Η control; convex optimization; linear matrix inequalities; robust control; scenario approach;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Robotics (ICCAR), 2015 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4673-7522-1
Type :
conf
DOI :
10.1109/ICCAR.2015.7166011
Filename :
7166011
Link To Document :
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