飞机起落架收放系统建模与故障仿真

摘要/Abstract

摘要：

针对某型支线客机的起落架收放系统，分析了其主要故障类型和故障原因。应用AMESim仿真平台建立了起落架收放系统模型，对该系统的正常收放过程进行了仿真，得到作动筒行程和液压泵出口压力、流量变化情况，并进行了结果分析，仿真结果满足起落架收放系统的基本性能指标。研究了液压泵泄漏、作动筒泄漏、油滤堵塞、节流阀堵塞等对系统工作特性影响较大的故障模式。仿真并分析了不同部件性能参数变化对系统工作性能的影响，为起落架收放系统故障诊断和健康状态监测在工程中的应用提供了有益的参考。

关键词: 起落架收放系统, 故障, AMESim, 液压, 建模与仿真

Abstract:

We analyze the main fault types and their causes of the landing gear retraction/extension system of a typical regional aircraft, establish a model of this system on the AMESim simulation platform and simulate the normal retractionextension process. The variation processes of the displacement of an actuator movement, the pressure and flow rate of the pump output are provided, and the simulation results are analyzed. The simulation results show that the system can meet the basic performance indexes of the landing gear system. The fault modes of the hydraulic pump leakage, the internalleakage of the actuator, the clogging of oil filter and throttle etc. are studied, which have significant effect on system performance. The impact of varying performance parameters of different components on system performance is simulated and analyzed. These investigations are beneficial and valuable for solving fault diagnosis and health monitoring problems of the landing gear retraction/extension system in engineering practice.

Key words: landing gear extension and retraction system;fault;AMESim;hydraulic;modeling and simulation

胡晓青，马存宝，和麟，梁丽媛. 飞机起落架收放系统建模与故障仿真[J]. J4, 2016, 38(06): 1286-1293.

HU Xiaoqing,MA Cunbao,HE Lin,LIANG Liyuan. Modeling and fault simulation of the landing
gear extension and retraction system [J]. J4, 2016, 38(06): 1286-1293.

参考文献［17］

［1］	Li Yanjun.Aircraft hydraulic transmission and control［M］.Beijing:Science Press, 2009.(in Chinese)
［2］	Tang Youcai,Liu Zhengang,Wang Zhanyong.The research and countermeasure of the airplane hydraulic reservoir outburst［J］.Chinese Hydraulic and Pneumatics,2009(10):8487.(in Chinese)
［3］	Streme D E.Acoustic signature:A feasible diagnostic technique for hydraulic systems［C］∥Proc of National Conference on Fluid Power,1991:1.
［4］	Yu Fangyuan, Gao Yong, Cheng Zhao. Modeling and fault simulation of landing gear retraction system［J］.Chinese Hydraulic and Pneumatics,2013(4):4548.(in Chinese)
［5］	Palmberg J O. Simulation as a key tool improve the fluid power systems design process［C］∥Proc of the 5th Intenrational Conference on Fluid Power Transmission and Control, 2001:1.
［6］	Shi Kang,Zeng Liangcai,Zhu Xuebiao.Fault simulation of electrohydraulic servo system based on AMEsim simulation［J］.Fluid Power Transmission and Control,2009(3): 2527.(in Chinese)
［7］	Jing B D, Lu S, Yang L Z. Research of hydraulic jack leakage diagnosis emulation base on wavelet /AMEsim［J］. Key Engineering Materials, 2009(392):103108.
［8］	Peng Guopeng,Huang Haitao.Hydraulic fault analysis of a radar annenna vehicle and its dynamic simulation［J］.Fire Control Radar Technology,2009,38(2):4347.(in Chinese)
［9］	Meng Aihong,Chao Zhiqiang,Liu Xiangbo,et al.Study on fault simulation of hydraulic system of certain armored recovery vehicle［J］.Hydraulics Pneumatics and Seals,2009,38(5):4548.(in Chinese)
［10］	Zhou Xiaojun. Simulation and diagnosis research of leaky malfunction for hydraulic system based on AMESim［D］.Changsha:National University of Defense Technology,2012.(in Chinese)
［11］	Zhu Wufeng,Li Xudong,Ding Wenyong,et al.Simulation and maintanence of aircraft landing gear hydraulic system［J］.Chinese Hydraulic and Pneumatics,2013(6):8790.(in Chinese)
［12］	Wang Haitao.Aircraft hydraulic components and systems［M］.Beijing:National Defense Industry Press,2012.(in Chinese)
［13］	Jiang Haoyi. Research on detecting system of hydraulic components for civil aircraft［D］.Hangzhou:Zhejiang University,2011.(in Chinese)
［14］	Wu Yafeng, Guo Jun. Research on simulation technique based on AMESim for aircraft hydraulic system［J］.Journal of Shenyang University of Technology,2007,29(4):368371.(in Chinese)
［15］	ARJ21700 Flight crew training textbook［Z］.2007.(in Chinese)
［16］	Kovari A. Effect of leakage in electrohydraulic servo systems based on complex nonlinear mathmatical model and experimental results［J］.Acta Polytechnica Huangarica,2015,12(3):129146.
［17］	Liang Liyuan.Simulation and health assessment of landing gear extension and retraction system［D］.Xi’an: Northwestern Polytechnical University,2014.(in Chinese)
	附中文参考文献：
［1］	李艳军.飞机液压传动与控制［M］.北京：科学出版社，2009.
［2］	唐有才,刘振岗,王占勇.飞机液压系统故障多的原因探讨及对策［J］.液压与气动,2009(10):8487.
［4］	于方圆,高永,程钊.起落架液压收放系统建模与故障仿真［J］.液压与气动,2013(4):4548.
［6］	施康,曾良才,朱学彪.基于AMESim的电液伺服系统故障仿真研究［J］.流体传动与控制,2009(3): 2527.
［8］	彭国朋,黄海涛.雷达天线车液压故障分析及其动态仿真［J］.火控雷达技术,2009,38(2):4347.
［9］	孟爱红,晁智强,刘相波,等.某型坦克抢救车液压系统故障仿真研究［J］.液压气动与密封,2009,38(5):4548.
［10］	周小军.基于AMESim液压系统泄漏仿真与故障诊断研究［D］.长沙:国防科学技术大学,2012.
［11］	朱武峰,李旭东,丁文勇,等.飞机起落架液压收放系统仿真分析与维修应用［J］.液压与气动,2013(6):8790.
［12］	王海涛.飞机液压元件与系统［M］.北京:国防工业出版社,2012.
［13］	蒋昊宜.民用飞机液压元件检测系统［D］.杭州:浙江大学,2011.
［14］	吴亚峰,郭军.基于AMESim的飞机液压系统仿真技术的应用研究［J］.沈阳工业大学学报,2007,29(4):368371.
［15］	ARJ21700飞机飞行机组培训教材［Z］.2007.
［17］	梁丽媛.飞机起落架收放系统仿真与健康评估［D］.西安:西北工业大学,2014.

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