舰船主动力装置故障隔离与参数估计方法
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摘要
针对舰船主动力装置结构复杂、故障种类多和系统不确定性等故障诊断问题,提出采用基于双因果键合图模型的定量故障隔离与参数估计方法。根据系统传感器配置方案,建立双因果键合图模型,通过因果路径分析,推导得到系统解析冗余关系,并获得故障特征矩阵。建立系统线性分式变换键合图模型,开展故障仿真,将其与双因果键合图模型耦合,在MATLAB/Simulink环境中进行仿真试验,实现了舰船主动力装置的故障隔离与参数估计。结果表明:对双因果键合图模型因果路径分析,可以避免手动推导系统解析冗余关系的繁杂过程;基于其部件构造方程的分析可以有效实现系统故障隔离与参数估计,实时跟踪和预测故障状态。
Aiming at the inherent characteristics of complicated structure,multiple fault types and system uncertainty of marine main power plant,a quantitative algorithm for fault isolation and parameter estimation based on bicausal BG(bond graph) was developed.Based on sensor configuration scheme,the system bicausal BG model was built.By analyzing the model causal path,the system ARRs(analytical redundancy relations) were derived and the fault signature matrix was obtained.The LFT(linear fractional transformation) BG model was developed for fault simulation.Through coupling LFT and bicausal BG models,the fault isolation and parameter estimation of marine main power plant were realized and the effectiveness was validated by MATLAB/Simulink software.Results show that the bicausalled BG helps to simplify ARRs deviation,and the fault isolation and parameter estimation can be effectively realized and the fault status can be tracked and predicted by analyzing the element constitutive equation of bicausalled BG.
Aiming at the inherent characteristics of complicated structure,multiple fault types and system uncertainty of marine main power plant,a quantitative algorithm for fault isolation and parameter estimation based on bicausal BG(bond graph) was developed.Based on sensor configuration scheme,the system bicausal BG model was built.By analyzing the model causal path,the system ARRs(analytical redundancy relations) were derived and the fault signature matrix was obtained.The LFT(linear fractional transformation) BG model was developed for fault simulation.Through coupling LFT and bicausal BG models,the fault isolation and parameter estimation of marine main power plant were realized and the effectiveness was validated by MATLAB/Simulink software.Results show that the bicausalled BG helps to simplify ARRs deviation,and the fault isolation and parameter estimation can be effectively realized and the fault status can be tracked and predicted by analyzing the element constitutive equation of bicausalled BG.
引文
[1]曾凡明,吴家明,庞之洋,等.舰船动力装置原理[M].北京:国防工业出版社,2009.ZENG Fanming,WU Jiaming,PANG Zhiyang,et al.Principle of marine power plant[M].Beijing:National Defense Industry Press,2009.(in Chinese)
[2]陈彧赟,侯博文,何章鸣,等.数据驱动的复杂系统非预期故障诊断通用过程模型[J].国防科技大学学报,2017,39(6):126-133.CHEN Yuyun,HOU Bowen,HE Zhangming,et al.General process model for unanticipated fault diagnosis of complex system based on data driven[J].Journal of National University of Defense Technology,2017,39(6):126-133.(in Chinese)
[3]Samantaray A K,Bouamama B O.Model-based process supervision-a bond graph approach[M].UK:Springer,2008.
[4]Bouamama B O,Medjaher K,Bayart M,et al.Fault detection and isolation of smart actuators using bond graphs and external models[J].Control Engineering Practice,2005,13(2):159-175.
[5]Merzouki R,Medjaher K,Djeziri M A,et al.Backlash fault detection in mechatronic system[J].Mechatronics,2007,17(6):299-310.
[6]Loureiro R,Merzouki R,Bouamama B O.Bond graph model based on structural diagnosability and recoverability analysis:application to intelligent autonomous vehicles[J].IEEETransactions on Vehicular Technology,2012,61(3):986-997.
[7]Bouamama B O,Medjaher K,Samantaray A K,et al.Supervision of an industrial steam generator.part I:bond graph modelling[J].Control Engineering Practice,2006,14(1):71-83.
[8]Medjaher K,Samantaray A K,Bouamama B O,et al.Supervision of an industrial steam generator.Part II:online implementation[J].Control Engineering Practice,2006,14(1):85-96.
[9]樊久铭,王秋生,徐敏强,等.诊断键合图在液体火箭发动机故障诊断中的应用[J].宇航学报,2007,28(4):977-980.FAN Jiuming,WANG Qiusheng,XU Minqiang,et al.Application of diagnostic bond graph to fault diagnosis for liquid-propellant rocket engine[J].Journal of Astronautics,2007,28(4):977-980.(in Chinese)
[10]牛刚,赵亚君.基于键合图模型的机车制动系统故障检测与隔离[J].同济大学学报(自然科学版),2015,43(6):894-899.NIU Gang,ZHAO Yajun.Bond graph model based fault detection and isolation for locomotive brake[J].Journal of Tongji University(Natural Science),2015,43(6):894-899.(in Chinese)
[11]黄志武,刘建刚,刘伟荣,等.基于解析冗余关系的法维莱制动机系统故障诊断技术[J].铁道学报,2013,35(3):29-35.HUANG Zhiwu,LIU Jiangang,LIU Weirong,et al.Fault diagnosis of faiveley braking system based on analytical redundancy relations[J].Journal of the China Railway Society,2013,35(3):29-35.(in Chinese)
[12]彭小辉,晏政,李艳军,等.一种基于解析冗余关系的半定性故障隔离方法在航天器推进系统中的应用[J].国防科技大学学报,2012,34(6):104-110.PENG Xiaohui,YAN Zheng,LI Yanjun,et al.A semiqualitative fault isolation method based on analytical redundancy relations for spacecraft propulsion system[J].Journal of National University of Defense Technology,2012,34(6):104-110.(in Chinese)
[13]Samantaray A K,Ghoshal S K.Bicausal bond graphs for supervision:from fault detection and isolation to fault accommodation[J].Journal of the Franklin Institute,2008,345(1):1-28.
[14]Touati Y,Merzouki R,Bouamama B O.Fault estimation and isolation using bond graph approach[J].IFAC Proceedings Volumes,2012,45(20):138-143.
[15]Paynter H M.Analysis and design of engineering systems[M].USA:MIT Press,1961.
[16]黄林,程刚,许伟,等.某型舰用四冲程柴油机键合图建模与仿真[J].内燃机学报,2017,35(6):561-568.HUANG Lin,CHENG Gang,XU Wei,et al.Bond graph based modeling and simulation of a four stroke marine diesel engine[J].Transactions of CSICE,2017,35(6):561-568.(in Chinese)
[17]Merzouki R,Samantaray A K,Pathak P M,et al.Intelligent mechatronic systems[M].UK:Springer,2013.
[18]Djeziri M A,Merzouki R,Bouamama B O,et al.Fault detection of backlash phenomenon in mechatronic system with parameter uncertainties using bond graph approach[C]//Proceedings of IEEE International Conference on Mechatronics and Automation,2006:600-605.
[19]Kam S C,Dauphin T G.Bond graph models of structured parameter uncertainties[J].Journal of the Franklin Institute,2005,342(4):379-399.
[20]Gawthrop P J.Bicausal bond graphs[J].Society for Computer Simulation,1995:83-88.
[2]陈彧赟,侯博文,何章鸣,等.数据驱动的复杂系统非预期故障诊断通用过程模型[J].国防科技大学学报,2017,39(6):126-133.CHEN Yuyun,HOU Bowen,HE Zhangming,et al.General process model for unanticipated fault diagnosis of complex system based on data driven[J].Journal of National University of Defense Technology,2017,39(6):126-133.(in Chinese)
[3]Samantaray A K,Bouamama B O.Model-based process supervision-a bond graph approach[M].UK:Springer,2008.
[4]Bouamama B O,Medjaher K,Bayart M,et al.Fault detection and isolation of smart actuators using bond graphs and external models[J].Control Engineering Practice,2005,13(2):159-175.
[5]Merzouki R,Medjaher K,Djeziri M A,et al.Backlash fault detection in mechatronic system[J].Mechatronics,2007,17(6):299-310.
[6]Loureiro R,Merzouki R,Bouamama B O.Bond graph model based on structural diagnosability and recoverability analysis:application to intelligent autonomous vehicles[J].IEEETransactions on Vehicular Technology,2012,61(3):986-997.
[7]Bouamama B O,Medjaher K,Samantaray A K,et al.Supervision of an industrial steam generator.part I:bond graph modelling[J].Control Engineering Practice,2006,14(1):71-83.
[8]Medjaher K,Samantaray A K,Bouamama B O,et al.Supervision of an industrial steam generator.Part II:online implementation[J].Control Engineering Practice,2006,14(1):85-96.
[9]樊久铭,王秋生,徐敏强,等.诊断键合图在液体火箭发动机故障诊断中的应用[J].宇航学报,2007,28(4):977-980.FAN Jiuming,WANG Qiusheng,XU Minqiang,et al.Application of diagnostic bond graph to fault diagnosis for liquid-propellant rocket engine[J].Journal of Astronautics,2007,28(4):977-980.(in Chinese)
[10]牛刚,赵亚君.基于键合图模型的机车制动系统故障检测与隔离[J].同济大学学报(自然科学版),2015,43(6):894-899.NIU Gang,ZHAO Yajun.Bond graph model based fault detection and isolation for locomotive brake[J].Journal of Tongji University(Natural Science),2015,43(6):894-899.(in Chinese)
[11]黄志武,刘建刚,刘伟荣,等.基于解析冗余关系的法维莱制动机系统故障诊断技术[J].铁道学报,2013,35(3):29-35.HUANG Zhiwu,LIU Jiangang,LIU Weirong,et al.Fault diagnosis of faiveley braking system based on analytical redundancy relations[J].Journal of the China Railway Society,2013,35(3):29-35.(in Chinese)
[12]彭小辉,晏政,李艳军,等.一种基于解析冗余关系的半定性故障隔离方法在航天器推进系统中的应用[J].国防科技大学学报,2012,34(6):104-110.PENG Xiaohui,YAN Zheng,LI Yanjun,et al.A semiqualitative fault isolation method based on analytical redundancy relations for spacecraft propulsion system[J].Journal of National University of Defense Technology,2012,34(6):104-110.(in Chinese)
[13]Samantaray A K,Ghoshal S K.Bicausal bond graphs for supervision:from fault detection and isolation to fault accommodation[J].Journal of the Franklin Institute,2008,345(1):1-28.
[14]Touati Y,Merzouki R,Bouamama B O.Fault estimation and isolation using bond graph approach[J].IFAC Proceedings Volumes,2012,45(20):138-143.
[15]Paynter H M.Analysis and design of engineering systems[M].USA:MIT Press,1961.
[16]黄林,程刚,许伟,等.某型舰用四冲程柴油机键合图建模与仿真[J].内燃机学报,2017,35(6):561-568.HUANG Lin,CHENG Gang,XU Wei,et al.Bond graph based modeling and simulation of a four stroke marine diesel engine[J].Transactions of CSICE,2017,35(6):561-568.(in Chinese)
[17]Merzouki R,Samantaray A K,Pathak P M,et al.Intelligent mechatronic systems[M].UK:Springer,2013.
[18]Djeziri M A,Merzouki R,Bouamama B O,et al.Fault detection of backlash phenomenon in mechatronic system with parameter uncertainties using bond graph approach[C]//Proceedings of IEEE International Conference on Mechatronics and Automation,2006:600-605.
[19]Kam S C,Dauphin T G.Bond graph models of structured parameter uncertainties[J].Journal of the Franklin Institute,2005,342(4):379-399.
[20]Gawthrop P J.Bicausal bond graphs[J].Society for Computer Simulation,1995:83-88.
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