Abstract
The intelligent flight task algorithm for aircraft is investigated to effectively determine and search the best flight routes under complicated conditions, where the conditions include the complicated topography and threats from other flights in the route airspace. The threat is detected by automatic dependent surveillance broadcast (ADS-B), which provides continual broadcast of aircraft position, identity, velocity and other information through unencrypted data links to generate a precise air picture for air traffic management. The proposed method comprises safety distance and path planning by pulse coupled neural networks. The safety distance is regarded as a pre-processing procedure for searching safety path. And the pulse coupled neural network is adopted to provide a smooth flight route for aircraft. The global optimal flight route is acquired through wave propagation by pulse coupled neural networks. The result of simulation demonstrated that the proposed method has the ability to provide the best flight routes efficiently for aircraft.
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