ACTA AERONAUTICAET ASTRONAUTICA SINICA >
Aircraft takeoff mass estimation method based on improved simulated annealing algorithm
Received date: 2022-10-08
Revised date: 2022-11-04
Accepted date: 2022-12-14
Online published: 2022-12-22
Supported by
China-EU Aviation Science and Technology Cooperation Project of the Ministry of Industry and Information Technology(MJ-2020-S-03)
Aircraft takeoff mass， an important parameter of aircraft performance， has significant effect on the accuracy of departure trajectory prediction. Aircraft mass is airline commercial operation data， and is difficult to obtain through public accesses. In this paper， a method for aircraft takeoff mass estimation is proposed based on historical trajectory data. Using the total energy model and considering the effect of wind， an iterative model of aircraft takeoff mass is established based on the Base of Aircraft Data（BADA） performance model. Combining the taboo table function in the taboo search algorithm and the simulated annealing algorithm， the improved algorithm is applied to solve the model efficiently. The result of a typical sample flight shows that the relative error between the estimated takeoff mass and the real mass is 2.91%. Compared with the BADA reference mass， the accuracy of trajectory prediction using estimated takeoff mass is effectively improved. Takeoff mass estimation of 15 types of aircraft and 26 724 flights is conducted. The average relative error value of the estimated mass of all flights is 3.45%. The absolute value of relative error of 97.67% of all flights is within 10%， demonstrating accurate estimation results. The proposed method for aircraft takeoff mass estimation can be applied to batch flights and can provide technical support for high-precision trajectory simulation and prediction.
Bing WANG , Runyuan ZOU , Zhening CHANG . Aircraft takeoff mass estimation method based on improved simulated annealing algorithm[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2023 , 44(16) : 328090 -328090 . DOI: 10.7527/S1000-6893.2022.28090
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