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ARJ 21飞机起飞速度全局优化方法及效果 被引量:1

Full Range Optimization Method and Effect for Takeoff Speed of ARJ 21
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摘要 为了充分挖掘ARJ 21飞机的性能潜力,提高国产民机竞争力,分析了ARJ 21飞机在V_(1)/V_(R)、V_(2)/V_(S)各自可选范围内对最大起飞重量的参数敏感性影响,其中V1为起飞决断速度、V2为安全起飞速度、VR为抬轮速度、VS为参考失速速度,讨论了典型运行条件下V_(1)/V_(R)、V_(2)/V_(S)在最优取值区间内对最大起飞重量的提升效果,论证了使用黄金分割法和遗传算法实施速度全局优化的可行性和有效性,并比较了两种方法的寻优误差和寻优效率。研究发现,在受场长限制或受爬升限制的情况下,通过优化可获得1.0%~5.5%的限重提升效果,同时,当遗传进化代数为5、10、20时,构建常规起飞分析表所需时长为102、187、357 min,优于黄金分割法所需时长。结果表明,实施速度全局优化能够有效提升ARJ 21飞机起飞商载能力,合理选择寻优算法可以大幅提升寻优效率。 The sensitivity of parameters to the maximum takeoff weight within the optional ranges of V1/VR and V2/VS was analyzed,and the improvement effect of V_(1)/V_(R)and V_(2)/V_(S)on the maximum takeoff weight within the optimal range under typical operating conditions was discussed to enhance the competitiveness of domestic civil aircraft and further improve the performance of the ARJ 21 aircraft.Wherein,V_(1)is the takeoff decision speed,V_(2)is the takeoff safety speed,V_(R)is the rotation speed,and VS is the reference stalling speed.The feasibility and effectiveness of implementing speed full range optimization using the golden section method and genetic algorithm method were demonstrated,and the optimization error and efficiency of these two methods were compared.It was found through research that a weight limit lifting effect of 1.0%to 5.5%can be achieved by optimization under field length or climb gradient limitations.At the same time,the time required to construct a conventional takeoff analysis table is better with genetic algorithm method when the genetic evolution algebra is 5,10 and 20,with 102,187 and 357 min,respectively,compared to the golden section method.The results demonstrate that the takeoff commercial load capacity of ARJ 21 aircraft can be effectively improved through the implementation of global optimization of speed,and the efficiency of optimization can be significantly improved by the reasonable selection of optimization algorithm.
作者 王可 郝欣洁 孙宏 WANG Ke;HAO Xin-jie;SUN Hong(Flight Technology College,Civil Aviation Flight University of China,Guanghan 618307,China)
出处 《科学技术与工程》 北大核心 2023年第25期11006-11013,共8页 Science Technology and Engineering
基金 国家自然科学基金民航联合基金重点项目(U2033213)。
关键词 最大起飞重量 速度全局优化 遗传算法 飞机性能优化方法 maximum takeoff weight full speed range optimization genetic algorithm aircraft performance optimization method
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