Multi-objective Intelligent Optimization of Noise Abatement Departure Trajectory

For the purpose of noise abatement and reducing flight cost during departure trajectory optimal design in the next generation air traffic management system, the multi-objective optimization and design method for departure trajectory was addressed. A segmented trajectory model according with the features of departure flight phases for civil aviation aircraft was established by dynamics and kinematics, and a mathematical method for describing trajectories using state matrix and control matrix was proposed. Several satisfaction evaluation functions about noise impact, flight cost and air navigation constraints were established based on fuzzy theory, and 3 heuristic search rules and a dynamic neighborhood search method were presented to improve the simulated annealing algorithm. The simulation results show that optimal noise abatement and cost reduction cannot be achieved simultaneously on the premise of restricted airspace circumnavigation compared to the trajectory optimized with the single objective of noise abatement, the total satisfaction of the departure trajectory obtained by multi-objective optimization is improved by 4.3%.