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Agent Based Ground Flight Control Using Type-2 Fuzzy Logic And Hybrid Ant Colony Optimization To A Dynamic Environment

Publisher : First International Conference on Emerging Trends in Engineering and Technology

Campus : Coimbatore

Center : TIFAC CORE in Cyber Security

Year : 2008

Abstract : The main objective of this paper/project is to focus on an Agent based approach to flight control in ground/ runway. Here we are trying to provide a autonomous control on flight once it comes to runway. In all airport there is a particular structure for runway, Like main runways ,sub runways ,different tracks. In an International air port there will be a busy traffic. There will be more flights and other ground vehicles. By using this particular system we can move the flight from one location to another ,totally through wireless control. For a better autonomous control level of intelligence matters. A type 2 fuzzy interval controller can be applied to the autonomous vehicle in order to handle uncertainty in a better way. Ant colony optimization technique can be used for a optimized path planning in traffic environment with more number of flight. We are using a hybrid ant colony optimization to handle real time dynamic environment and path planning. Both Agent based and type-2 fuzzy together with Ant Colony Optimization technique is used to achieve another level of intelligence.

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