A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire

Jun Young Bae, Youakim Badr, Ajith Abraham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

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 vag ue information about the target.

Original languageEnglish (US)
Title of host publication11th International Conference on Computer Modelling and Simulation, UKSim 2009
Pages59-64
Number of pages6
DOIs
StatePublished - Sep 8 2009
Event11th International Conference on Computer Modelling and Simulation, UKSim 2009 - Cambridge, United Kingdom
Duration: Mar 25 2009Mar 27 2009

Publication series

Name11th International Conference on Computer Modelling and Simulation, UKSim 2009

Conference

Conference11th International Conference on Computer Modelling and Simulation, UKSim 2009
CountryUnited Kingdom
CityCambridge
Period3/25/093/27/09

Fingerprint

Takagi-Sugeno Fuzzy Model
Fires
Controller
Angle
Controllers
Target
Fuzzy Model
Hits
Fuzzy Logic
Observer
Adjustment
Control System
Uncertainty
Linguistics
Fuzzy logic
Necessary
Line
Experiment
Control systems
Experiments

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Modeling and Simulation

Cite this

Bae, J. Y., Badr, Y., & Abraham, A. (2009). A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire. In 11th International Conference on Computer Modelling and Simulation, UKSim 2009 (pp. 59-64). [4809738] (11th International Conference on Computer Modelling and Simulation, UKSim 2009). https://doi.org/10.1109/UKSIM.2009.105
Bae, Jun Young ; Badr, Youakim ; Abraham, Ajith. / A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire. 11th International Conference on Computer Modelling and Simulation, UKSim 2009. 2009. pp. 59-64 (11th International Conference on Computer Modelling and Simulation, UKSim 2009).
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Bae, JY, Badr, Y & Abraham, A 2009, A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire. in 11th International Conference on Computer Modelling and Simulation, UKSim 2009., 4809738, 11th International Conference on Computer Modelling and Simulation, UKSim 2009, pp. 59-64, 11th International Conference on Computer Modelling and Simulation, UKSim 2009, Cambridge, United Kingdom, 3/25/09. https://doi.org/10.1109/UKSIM.2009.105

A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire. / Bae, Jun Young; Badr, Youakim; Abraham, Ajith.

11th International Conference on Computer Modelling and Simulation, UKSim 2009. 2009. p. 59-64 4809738 (11th International Conference on Computer Modelling and Simulation, UKSim 2009).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Bae JY, Badr Y, Abraham A. A takagi-sugeno fuzzy model of a rudimentary angle controller for artillery fire. In 11th International Conference on Computer Modelling and Simulation, UKSim 2009. 2009. p. 59-64. 4809738. (11th International Conference on Computer Modelling and Simulation, UKSim 2009). https://doi.org/10.1109/UKSIM.2009.105