为保障基于轨迹运行的顺利实施,必须提高四维航迹预测的精度,而四维航迹的精准预测依赖于航空器质量准确估算。鉴于此,构建并分析了航空器能量模型;基于雷达航迹与航空器基础资料(BADA),提出了新型的航空器质量估算方法与步骤;利用最小二乘算法求解了航空器质量的估计值;分别基于预测航迹、雷达轨迹与QAR数据,采用相对误差作为评价指标,实施验证与分析。验证结果表明,提出的方法可将航空器质量估算误差控制在5%以内,从而能够有效地提高航迹预测精度。
The precision of trajectory prediction plays a great role in the successful implementation of Trajectory- based Operation( TBO),which is in turn dependent on the accurate aircraft mass estimation.Thus,a new method for aircraft mass was proposed in this paper. Firstly,the energy model of aircraft movement was constructed and analyzed. Then the estimation approach and implementation steps were presented. Furthermore,the estimated mass value was obtained based on the least square algorithm. Finally,three kinds of validation were carried out based on the trajectory prediction,the radar Tracks and the QAR data respectively by using the relative error as the evaluation index. The results indicated that the proposed approach was able to keep the relative error of mass estimation below 5%,and improve the precision of trajectory prediction further.