离场航迹降噪优化设计的多目标智能方法

Multi-objective Intelligent Optimization of Noise Abatement Departure Trajectory

为满足新一代空管系统中离场航迹优化设计时降低噪声影响和减少飞行成本的需要,进行了离场航迹的多目标优化设计方法研究.结合飞行动力学和运动学模型,建立了符合民航飞机离场飞行阶段特征的航迹分段模型,提出了应用状态矩阵和控制矩阵准确表示航迹的数学方法.基于模糊理论建立航迹噪声影响、飞行成本和空中导航约束的满意度评价函数,提出了3种启发式搜索规则和动态领域搜索方法来改进模拟退火算法.仿真结果表明,在绕飞限制空域的前提下,降噪和减少飞行成本的目标无法同时达到最优;离场航迹多目标优化后的总体满意度比仅考虑降噪时提高了4.3%.

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 was proposed. Several satisfaction evaluation functions about noise navigation constraints were established based on fuzzy theory, and 3 state matrix and control matrix impact, flight cost and air heuristic search rules and a dynamic neighborhood search method were presented to improve the simulated annealing algonmm. The simulation results show that optimal noise abatement and cost reduction cannot be achieved simultaneously on the premise of restricted airspace optimized with the single objective of noise abatement, circumnavigation compared to the trajectory the total satisfaction of the departure trajectory obtained by multi-objective optimization is improved by 4.3%.