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Adaptive Control of an Intelligent Tank Using Fuzzy Logic

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4 Author(s)
Yakzan, A.I.E. ; Sch. of Eng., Univ. of Warwick, Coventry, UK ; Khan, A.A. ; Hines, E.L. ; Iliescu, D.

The need for robots to work on their own is becoming highly on demand, thus artificial intelligence is a significant approach to solve real world uncertainties. In this paper, adaptive control of an intelligent tank using fuzzy logic is presented. The system shows a coherent design and fast understanding of the environment. An intelligent robot that is capable of being in a room, with no prior mapping, can understand and draw its trajectory to an intended purpose. Using a set of light detecting resistors (LDR), and IR sensors, a fuzzy controlled brain man oeuvres around obstacles and reaches a specified destination. A fuzzy controller guides the robot in searching the target and thus shooting at the target when it falls within shooting range. Moreover, another fuzzy controller helps the robot from colliding with the obstacles coming in its path. Both the controllers work simultaneously to transform an ordinary tank into an intelligent battle tank which can make decisions on its own under any environment and in any circumstances.

Published in:

Computer Modelling and Simulation (UKSim), 2012 UKSim 14th International Conference on

Date of Conference:

28-30 March 2012