考虑排放因素的飞机下降性能优化方法

Optimalized method for aircraft descending performance on account of CO2 and NOx emissions

为降低飞机下降阶段的飞行成本和对环境的影响,首先建立飞行动力学模型,然后基于国际民航组织给出的基准排放数据建立污染物排放量估算模型并改进飞行成本计算模型,之后基于遗传算法建立最佳"表速-马赫数"组合优化模型,最后分析下降阶段优化参数的影响因素。结果表明,与传统下降方式相比,优化后的下降策略能降低0. 296%的综合飞行成本和4. 45%的排放成本。成本指数、飞机质量、温度偏差和污染物价格对下降性能优化参数有影响。

The given paper is aimed to establish a reasonably effective optimalized method to decrease the flight cost in the flying descending phase and its impact on the environment CO2 and NOx emission from the descending activities. In order to reach the goal,we have managed to establish a flight dynamic model for descending and cruise phase respectively. And,next,we have also set up a pollutant emissions evaluation model based on the civil aircraft reference emission inventories provided by the international civil aviation organization (ICAO) and BM2 for the purpose of calculating NOx emission index. It is just on the basis of the above model,we have managed to improve the calculation model of the flight cost involving the flight time and fuel consumption regulations. And,thirdly,we have successfully built up a ‘calibrated speed-Mach number ’ integrated optimization model based on the genetic algorithm by introducing the implementation process of the said optimized model. Besides,taking a broad-body aircraft as an example,a detailed comparison among the differences of the objective parameters pre-& pro-optimization so as to verify the effectiveness of the above mentioned optimization method. Thus,finally,all the influential factors for the optimization parameters in the descent phase have been given with a specific examination and assessment. All the above mentioned results gained from our research work demonstrate that,as compared with the traditional descent manners,the optimized descending approach can help to reduce the integrated flight cost and the pollution exhaust about 0. 296% and 4. 45%,respectively. Apart from the above renovation,we have also managed to reduce the cost index,the flight weight,the temperature deviation and the pollutant exhaust that may influence the descent performance indexes. Moreover,the combination of the optimization parameters (Vc,M) has been made to increase with the increase of the cost index,the aircraft weight and temperature deviation,along with the increase of NOx emission cost per unit mass. Due to the aircraft weight increase of 10 t,the comprehensive flight cost has grown up by an average percentage of 1. 16% under the same (Vc,M) combination.