DocumentCode
3084979
Title
A Takagi-Sugeno Fuzzy Model of a Rudimentary Angle Controller for Artillery Fire
Author
Bae, Jun Young ; Badr, Youakim ; Abraham, Ajith
Author_Institution
Inst. Nat. des Sci. Appl., INSA-Lyon, Lyon
fYear
2009
fDate
25-27 March 2009
Firstpage
59
Lastpage
64
Abstract
Modern artilleries have the capability to hit targets with high level of accuracy. However, a problem arises with the current firing procedure when neither the field observer nor the fire direction center is available to support the artillery crew with the necessary information. In this situation, the detection of environmental conditions would involve a number of uncertainties and due to this reason, conventional control techniques will not deliver satisfying solutions since the adjustment to the artillery´s firing line will be based on data that is approximate rather than precise. In this paper, we propose a firing angle control system based on the Takagi-Sugeno fuzzy model. The advantage of fuzzy logic is the ability to tune certain variables easily by varying the linguistic rules or input variables. Experiments show that effective results can be obtained using a fuzzy model, while demonstrating that the model could come in handy when the firing angle has to be determined instantaneously with very vague information about the target.
Keywords
fuzzy control; fuzzy logic; military equipment; weapons; Takagi-Sugeno fuzzy model; artillery firing angle control system; environmental condition detection; fuzzy logic; linguistic rule; Computational modeling; Control system synthesis; Control systems; Fires; Fuzzy control; Fuzzy logic; Fuzzy systems; Input variables; Mathematical model; Takagi-Sugeno model; ..; Fuzzy logic; Fuzzy reasoning; Takagi-Sugeno fuzzy model; controller;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Modelling and Simulation, 2009. UKSIM '09. 11th International Conference on
Conference_Location
Cambridge
Print_ISBN
978-1-4244-3771-9
Electronic_ISBN
978-0-7695-3593-7
Type
conf
DOI
10.1109/UKSIM.2009.105
Filename
4809738
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