磁流变飞机起落架模型参考自适应缓冲控制及联合仿真
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摘要
基于虚拟样机技术构建了某型飞机起落架缓冲系统动力学模型,提出一种基于模型参考自适应控制的磁流变飞机起落架缓冲控制方法,设计了基于Matlab/Simulink的磁流变飞机起落架模型参考自适应缓冲控制联合仿真模型,定义了数据交换接口,完成了某型号飞机起落架落震缓冲过程的力学与控制的联合仿真验证,通过基于模型参考自适应控制的飞机起落架缓冲系统与传统被动式油液式缓冲系统的缓冲效果对比分析,验证了提出的基于模型参考自适应控制的飞机起落架磁流变缓冲系统替代油液式缓冲系统的可行性与良好的减震效果。
In this paper,the dynamic model of buffer system for a certain type of aircraft landing gear w as built based on the virtual prototype technology,and a buffering control method for magnetorheological landing gear w as also proposed based on model reference adaptive control. A co-simulation model of model reference adaptive buffering control of M R aircraft landing gear w as further designed based on the M atlab/Simulink and the data exchange interface w as defined. The co-simulation model w as verified for a process of drop-test buffering. The comparison of the results from buffering system of landing gear based on model reference adaptive control and the traditional passive oil buffering system show s that the proposed buffering system is feasible and has a good damping effect.
In this paper,the dynamic model of buffer system for a certain type of aircraft landing gear w as built based on the virtual prototype technology,and a buffering control method for magnetorheological landing gear w as also proposed based on model reference adaptive control. A co-simulation model of model reference adaptive buffering control of M R aircraft landing gear w as further designed based on the M atlab/Simulink and the data exchange interface w as defined. The co-simulation model w as verified for a process of drop-test buffering. The comparison of the results from buffering system of landing gear based on model reference adaptive control and the traditional passive oil buffering system show s that the proposed buffering system is feasible and has a good damping effect.
引文
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[16]WANG Z N,WU S X,GU X S,et al.Co-simulation research of autonomous landing control system[C].Control Conference.Oregon,2014:6352-6357.
[2]何永勃,苏兴国,刘娜.基于磁流变减震器的起落架着陆建模及仿真[J].现代电子技术,2011,34(1):70-73.
[3]ANDRZEJ M,MIKOLAJ H.Application of magnetorheological fluid in industrial shock absorbers[J].M echanical Systems and Signal Processing,2012,28:528-541.
[4]YADAV,ANIL K.A comparative analysis between M RAC and FM RAC for an unstable system[C].Proceedings of the 10th INDIACom,2016:2449-2455.
[5]ZHANG S G,FENG Y,ZHANG D.Application research of mrac in fault-tolerant flight controller[J].Procedia Engineering,2015,(99):1089-1098.
[6]FU L,LIN L P,XU X H.Research on modeling and fuzzy control of magneto-rheological intelligent buffer system for impact load[J].Journal of Shanghai Jiaotong University,2012,17(5):567-572.
[7]陈大伟,顾宏斌,吴东苏.基于磁流变阻尼器的起落架摆振半主动控制[J].中国机械工程,2010,21(12):1401-1405.
[8]聂宏,魏晓辉.飞机起落架动力学设计与分析[M].西安:西北工业大学出版社,2013.
[9]满永超,刘允刚.高阶不确定非线性系统线性状态反馈自适应控制设计[J].自动化学报,2014,40(01):24-32.
[10]HSU L,COSTA R R.Lyapunov design of multivariable M RAC via generalized passivation[J].Asian Journal of Control,2015,17(5):1484-1497.
[11]白珍龙,刘川来.应用Lyapunov理论设计分数阶模型参考自适应控制律[J].石油化工自动化,2015,51(05):43-47
[12]常凯,李胜军.基于虚拟样机的起落架收放系统仿真[J].航空科学技术,2015,26(07):46-50.
[13]祝世兴,潘玉洁.基于磁流变减震器的弹性机体起落架着陆仿真分析[J].液压与气动,2012,(12):73-76.
[14]JOHN,JUHA L,TOMI V.F-18 hornet landing simulations using ADAM S and simulink co-simulation[C].AIAA Modeling and Simulation Technologies Conference and Exhibit,Honolulu,2013:6850-6858.
[15]TOMAS B,ZDENEK H,JAN V.Using of co-simulation ADAM S-SIM ULINK for development of mechatronic systems[C].14th International Conference M echatronika,Teplice,2011:59-64.
[16]WANG Z N,WU S X,GU X S,et al.Co-simulation research of autonomous landing control system[C].Control Conference.Oregon,2014:6352-6357.