DocumentCode
2050837
Title
Comparative Study of Speed Control Algorithms for UAV Applications
Author
Ahmed, S. Shahnawaz
Author_Institution
Nat. Eng. & Sci. Comm., Islamabad
fYear
2007
fDate
8-11 Jan. 2007
Firstpage
68
Lastpage
72
Abstract
This paper presents performance comparison of three speed control schemes (engine throttle control) for LAV applications. First scheme uses fixed throttle levels (three levels for cruise climb and descend) however no speed feedback was used in the control loop. Second scheme also uses fixed throttle levels however number of levels are increased and switching is performed based on speed feedback using rule based decisions making techniques. Third scheme uses modern robust speed control, designed using Hinfin loop shaping. The Hinfin controller design requires an accurate linear model, which was obtained by system identification using available nonlinear simulations. The proposed algorithms were implemented in C/C++ and tested in 6-DOF simulations. Simulation results showed that the rule based decision making scheme gave acceptable performance, however the Hinfin controller worked better in the presence of disturbances in all flight conditions e.g. cruise, climb, descend and rolling keeping speed in a small band of a fixed reference value.
Keywords
Hinfin control; decision making; remotely operated vehicles; velocity control; Hinfin controller design; Hinfin loop shaping; UAV applications; fixed throttle levels; robust speed control; rule based decisions making techniques; speed control algorithms; speed feedback; switching; Aerospace simulation; Decision making; Engines; Feedback loop; Nonlinear control systems; Robust control; System identification; Testing; Unmanned aerial vehicles; Velocity control;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Sciences & Technology, 2007. IBCAST 2007. International Bhurban Conference on
Conference_Location
Islamabad
Print_ISBN
978-969-8741-04-4
Electronic_ISBN
978-969-8741-04-4
Type
conf
DOI
10.1109/IBCAST.2007.4379911
Filename
4379911
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