论文:2017,Vol:35,Issue(4):553-560
引用本文:
呼卫军, 王欢, 周军. 高速飞行器Petri net异常事件诊断系统设计[J]. 西北工业大学学报
Hu Weijun, Wang Huan, Zhou Jun. Design of Abnormal Event Diagnosis System Based on Petri Net for High-Speed Vehicle[J]. Northwestern polytechnical university

高速飞行器Petri net异常事件诊断系统设计
呼卫军, 王欢, 周军
西北工业大学 精确制导与控制研究所, 陕西 西安 710068
摘要:
高速飞行器在遇到外部大气扰动和伺服故障事件导致状态失稳时,对于不同的故障事件采用不同的控制策略。为了使飞行器能够自主的辨别导致状态异常的事件类型,并针对性调用相应的处理策略, 提出了一种基于决策网络进行飞行器异常事件诊断的系统。基于Petri net 方法构建的飞行器异常事件诊断系统,通过分析差异事件对飞行器状态的影响规律,以各状态量传感器读数为输入,发生的事件类型为输出,可以使飞行器自主利用Petri net的矩阵推理运算能力快速在线定位出引起状态异常的事件类型,为后续采取的控制行为提供依据。最后以某RLV再入段为例,对其注入各种类型故障后,应用C++软件对事件诊断系统正确性进行仿真验证,结果证明建立的诊断系统能够正确的诊断和区分不同类型事件。
关键词:    Petri net    大气扰动    伺服故障    矩阵推理    在线定位   
Design of Abnormal Event Diagnosis System Based on Petri Net for High-Speed Vehicle
Hu Weijun, Wang Huan, Zhou Jun
Institute of Precision Guidance and Control, Northwestern Polytechnical University, Xi'an 710068, China
Abstract:
High-speed vehicle adopt different control strategies for different fault events in the event of external environment disturbance and servo failure event leading to state instability. In order to enable the vehicle to identify the type of event that causes the abnormal state autonomously, and accordingly call the corresponding processing strategy, this paper proposes a decision system based on decision network for vehicle anomaly diagnosis. Based on the Petri net method, the abnormal event diagnosis system of the vehicle is constructed. By analyzing the influence of the different event on the flight state, the system can make the vehicle autonomously locate the event types that cause the abnormal state quickly by using the matrix reasoning ability of Petri net, with sensor reading of each state quantity as input and event type as output, provides the basis for the follow-up control behavior. Finally, a RLV reentry section is taken as an example. After the various types of faults are injected into it, the correctness of the event diagnosis system is verified by C++ software. The result proves that the diagnosis system can diagnose and distinguish different types of events correctly.
Key words:    Petri net    environment disturbance    servo failure    matrix reasoning    online positioning   
收稿日期: 2016-10-07     修回日期:
DOI:
基金项目: 国家自然科学基金(61473226)资助
通讯作者:     Email:
作者简介: 呼卫军(1979—),西北工业大学副教授,主要从事飞行器制导控制、故障诊断以及仿真技术研究。
相关功能
PDF(1342KB) Free
打印本文
把本文推荐给朋友
作者相关文章
呼卫军  在本刊中的所有文章
王欢  在本刊中的所有文章
周军  在本刊中的所有文章

参考文献:
[1] Ali Zolghadri. Advanced Model-Based FDIR Techniques for Aerospace Systems: Todaychallenges and Opportunities[J]. Aerospace Sciences, 2012, 53(2012): 18-29
[2] 陈帅均. 基于专家系统的飞行器评估系统研究[D]. 合肥: 中国科学院光电技术研究所,2014 Chen Shuaijun.Study on Aerocraft Assessment System Based on Expert System[D]. Hefei, The Institute of Optics and Electrics, Chinese Academy of Sciences,2014 (in Chinese)
[3] Li G F, Liu Y, Zhang F L. Study on Fault Diagnosis of Special Vehicle Based on Expert System[C]//CSCE, 2015: 1183-1188
[4] 孙健, 章卫国, 宁东方. 基于神经网络的飞控系统故障诊断[J]. 测控技术,2008, 27(5): 65-68 Sun Jian,Zhang Weiguo,Ning Dongfang. Fault-Diagnosis System of Flight Cntrol System Based on Neural Network[J]. Measurement Technology, 2008, 27(5): 65-68 (in Chinese)
[5] Aiz I A, Khorasani K. Neural Network-Based Actuator Fault Diagnosis for Attitude Control Subsystem of an Unmanned Space Vehicle[C]//International Joint Conference, Canada, 2006: 16-21
[6] 郭博. 基于神经网络和故障树的运载火箭故障诊断系统的研究[D]. 成都: 电子科技大学,2010 Guo Bo. Research on Fault Diagnosis System of launch Vehicle Based on Neural Network and Fault Tree[D].ChenDu, University of Electronic Science and Technology of China, 2010 (in Chinese)
[7] 金亮亮. 基于故障树的航天器故障诊断专家系统研究[D]. 南京:南京航空航天大学,2008 Jing Liangliang. Study on Spacecraft Fault Diagnosis Expert System Based on Fault Tree[D]. Nanjing, Nanjing University of Aeronautics and Astronautics,2008 (in Chinese)
[8] Li S N, Yuan H W, Lü J X, Cui Y. Application of Object-Oriented Petri Net Model in Fault Rehearsal of Aircarft Independent Electrical Power System[C]//中国控制与决策会议,2013: 4200-4204
[9] Suhua Hsieh, Shih Yingjer. Automated Guided Vehicle Systems and Their Petri-Net Properties[J]. Intelligent Manufacturing, 1992, 3(6): 379-390
[10] Ryosuke Nakamura, Kenji Sawada, Seiichi Shin, Kenji Kumagai. Model Reformulation for Conflict-Free Routing Problems Using Petri Net and Deterministic Finite Automaton[J]. Artificial Life and Robotics, 2015, 20(3): 262-269
[11] Abdul-Kader H, El-Kholy W. Modeling of Updating Moving Object Database Using Timed Petri Net Model[J]. International Arab Journal of Information Technology, 2010, 7(1):79-85
[12] Jiang Z, Zuo M Z, Fung R Y Y, Tu P T. Peformance Modeling of Complex Dynamic Production Systems Using Temporised Object-Oriented Petri Nets with Changeable Structure[J]. International Journal of Advanced Manufacturing Technology, 2000, 16(16): 521-536
[13] Wang William, Jaw Link, Wang Jim. Petri Net Based Modeling Approach for Fault Affected UAV Subsystems Reconfiguration[C]//AIAA Intelligent Systems Technical Conference, 2013
[14] Qu Y Z, Li L X, Chen Y B, Dai Y P. An Optimal Design Approach for Fault-Tolerant Petri Net Controllers Using Arc Weights Minimization [J]. IEEE Trans on Systems Man and Cybernetics Part A: System Humans, 2012, 42(5):1301-1308
[15] Zhang P, Zhao S W, Wang Y K. The Research of Aircraft Fault Diagnosis Based on Adaptive FPN[C]//IEEE Control & Decision Conference, 2009: 5252-5255
[16] Zhang Y, Wen F, Chung C Y. A Fuzzy Petri Net Based Approach for Fault Diagnosis in Power Systems Considering Temporal Constraints[J]. Electrical Power & Energy Systems, 2016, 78(10): 215-224
[17] 郭亚中, 左洪福, 王华伟. 基于Petri网的民航飞机故障诊断工作流模型[J]. 系统工程与电子技术,2006, 28(12): 1837-1840 Guo Yazhong, Zuo Hongfu, Wang Huawei. Research on Workflow Model of Fault Diagnosis of the Civil Aircraft Using Petri Net[J]. Systems Engineering and Electronics,2006, 28(12): 1837-1840 (in Chinese)
[18] Trigos M A, Barrientos A, Cerro J D. Systematic Process for Building a Fault Diagnoser Based on Petri Nets Applied to a Helicopter[J]. Mathematical Problems in Engineering, 2015(2015): 1-13
[19] 赵汉元.飞行器再入动力学和制导[M].长沙:国防科技大学出版社, 1997: 474-479 Zhao Hanyuan. Aircraft Reentry Dynamics and Guidance[M]. Changsha, National University of Defense Technology Press, 1997: 474-479 (in Chinese)
[20] 程璞,张鹏宇,吴小华,等. 阵风条件下高超声速飞行器动力学建模与分析[J]. 飞行力学,2014, 32(5): 413-417 Cheng Pu, Zhang Pengyu, Wu Xiaohua. Flight Dynamics Modeling and Analysis of Hypersonic Flight Vehicle in Wind Gusts[J]. Flight Dynamics, 2014, 32(5): 413-417 (in Chinese)