基于BP神经网络的起飞限重计算预测研究

Research on Optimization of Take-off Weight Limit of Domestic Civil Aircraft Based on Neural Network Intelligent Algorithm

针对起飞限重分析计算的流程复杂、迭代多、计算效率低的问题,本文在分析起飞限重计算规律的基础上,研究了使用BP神经网络预测起飞限重结果的可行性。文中以ARJ21-700飞机在场长、爬升等综合限制条件下的最大起飞重量计算为例,使用Matlab进行结果预测。预测结果表明BP神经网络具有较好的适应性,可以满足性能仿真计算的工程需要。

Aiming at the problems of complex takeoff weight analysis and calculation process,many iterations,and low calculation efficiency,this paper studies the feasibility of using BP neural network to predict the results of takeoff weight on the basis of analyzing the law of takeoff weight calculation.The article takes the calculation of the maximum take-off weight of the ARJ21-700 aircraft under comprehensive constraints such as field length and climb as an example,and uses Matlab to predict the results.The prediction results show that the BP neural network has good adaptability and can meet the engineering needs of performance simulation calculation.