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多电飞机作动系统的体系结构优化(英文)
引用本文:齐海涛,付永领,祁晓野,郎燕. 多电飞机作动系统的体系结构优化(英文)[J]. 中国航空学报, 2011, 24(4): 506-513. DOI: 10.1016/S1000-9361(11)60058-7
作者姓名:齐海涛  付永领  祁晓野  郎燕
作者单位:北京航空航天大学机械工程及自动化学院;北京控制工程研究所
基金项目:National Natural Science Foundation of China (50675009);International Science & Technology Cooperation Program of China (2010DFA72540)
摘    要:多电技术的深入发展使得飞机上可选择的功率源和作动器种类越来越多,这导致在机载作动系统体系结构优化设计过程中出现了不同功率源和作动器组合的极端复杂性,传统的"试凑"法已无法完成设计任务。首先介绍了多电飞机飞控作动系统(Flight Control Actuation System,FCAS)的组成,计算了其可能的体系结构数量;其次提出了FCAS体系结构在安全性、重量和效率方面的评价指标,计算了全机各舵面均采用同类作动器时的评价指标值;最后对比分析了现有的各种多目标优化算法,采用遗传算法给出了多电飞机FCAS体系结构的多目标优化设计结果。对比传统的只采用阀控液压伺服作动器的作动系统体系结构,优化后的体系结构可以在满足安全可靠性要求的前提下使系统的重量减轻6%左右,效率提高30%左右。

关 键 词:多电飞机  功率电传  作动系统  体系结构  多目标优化  遗传算法
收稿时间:2011-01-10

Architecture Optimization of More Electric Aircraft Actuation System
Haitao QI,Yongling FU,Xiaoye QI,Yan LANG[Author vitae]. Architecture Optimization of More Electric Aircraft Actuation System[J]. Chinese Journal of Aeronautics, 2011, 24(4): 506-513. DOI: 10.1016/S1000-9361(11)60058-7
Authors:Haitao QI  Yongling FU  Xiaoye QI  Yan LANG[Author vitae]
Affiliation:aSchool of Mechanical Engineering and Automation, Beihang University, Beijing 100191, China;bBeijing Institute of Control Engineering, Beijing 100190, China
Abstract:The optional types of power source and actuator in the aircraft are more and more diverse due to fast development in more electric technology, which makes the combinations of different power sources and actuators become extremely complex in the architecture optimization process of airborne actuation system. The traditional “trial and error” method cannot satisfy the design demands. In this paper, firstly, the composition of more electric aircraft (MEA) flight control actuation system (FCAS) is introduced, and the possible architecture quantity is calculated. Secondly, the evaluation criteria of FCAS architecture with respect to safe reliability, weight and efficiency are proposed, and the evaluation criteria values are calculated in the case that each control surface adopts the same actuator configuration. Finally, the optimization results of MEA FCAS architecture are obtained by applying genetic algorithm (GA). Compared to the traditional actuation system architecture, which only adopts servo valve controlled hydraulic actuators, the weight of the optimized more electric actuation system architecture can be reduced by 6%, and the efficiency can be improved by 30% based on the safe reliability requirements.
Keywords:more electric aircraft   power-by-wire   actuation system   architecture   multiobjective optimization   genetic algorithms
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