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基于Fibonacci搜索方法的航空发动机性能寻优
引用本文:杨旦旦.基于Fibonacci搜索方法的航空发动机性能寻优[J].航空动力学报,2016,31(6):1441-1449.
作者姓名:杨旦旦
作者单位:中国航空工业集团公司 中国燃气涡轮研究院, 成都 610500
摘    要:介绍了Fibonacci搜索方法应用于发动机性能优化中的原理,建立带两个出口面积、气流马赫数可变的引射器的涡喷发动机的总体性能计算模型,应用Fibonacci搜索方法在优化参数区间内对该发动机进行了最大推力、最低油耗、最低涡轮前温度模式的寻优.举例说明了Fibonacci搜索方法应用的具体过程.给出了不同高度、马赫数下的寻优结果.结果表明:最优目标性能满足的约束边界与飞行高度、马赫数密切相关.不同的飞行高度、马赫数对应了不同的最优控制策略.但不论飞行任务如何,根据该方法进行的优化控制所获得的目标性能是最佳的.该优化方法不仅适用于该类涡喷发动机,也为其他类型航空发动机的优化控制打下一定的基础. 

关 键 词:航空发动机    引射器    梯度    Fibonacci搜索方法    起作用约束    性能寻优
收稿时间:2014/9/26 0:00:00

Performance optimization of aeroengine based on Fibonacci search method
YANG Dan-dan.Performance optimization of aeroengine based on Fibonacci search method[J].Journal of Aerospace Power,2016,31(6):1441-1449.
Authors:YANG Dan-dan
Institution:China Gas Turbine Establishment, Aviation Industry Corporation of China, Chengdu 610500, China
Abstract:The principle of Fibonacci search method for performance optimization of aeroengine was introduced. The total performance model of turbojet containing two ejectors with variable area and Mach number was established. This aeroengine was optimized in maximum thrust mode, minimum fuel consumption mode and minimum turbine inlet temperature mode in the area of optimization parameters by using Fibonacci search method. The process of applying Fibonacci search method into the optimization was illustrated. The optimization results on different height and Mach number were given. Results show that, the constrained boundaries satisfied by the optimized performance are closely related with the flight height and Mach number. Different flight heights and Mach numbers correspond to different optimal control strategies. In spite of the flight mission, the targeted steady state performance from the control based on this optimization method is the best. This optimization method is not only applicable to the turbojet engine, but also lays a certain foundation for optimal control of other types of aeroengine.
Keywords:aeroengine  ejectors  gradient  Fibonacci search method  active constraint  performance optimization
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