TY - GEN
T1 - A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire
AU - Bae, Jun Young
AU - Badr, Youakim
AU - Abraham, Ajith
PY - 2009/9/8
Y1 - 2009/9/8
N2 - 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 vag ue information about the target.
AB - 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 vag ue information about the target.
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U2 - 10.1109/UKSIM.2009.105
DO - 10.1109/UKSIM.2009.105
M3 - Conference contribution
AN - SCOPUS:69649088135
SN - 9780769535937
T3 - 11th International Conference on Computer Modelling and Simulation, UKSim 2009
SP - 59
EP - 64
BT - 11th International Conference on Computer Modelling and Simulation, UKSim 2009
T2 - 11th International Conference on Computer Modelling and Simulation, UKSim 2009
Y2 - 25 March 2009 through 27 March 2009
ER -