液体火箭发动机模态区间仿真及故障检测
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摘要
本文针对目前故障诊断方法中,基于模型的故障诊断的方法考虑被诊断的系统存在不确定性参数,从而导致系统仿真结果经常与真实行为不一致的缺陷,引入模态区间分析方法对不确定性参数的动态系统进行建模仿真和故障检测,较好地解决了上述问题。
经典区间分析算法对动态系统进行建模仿真时,包络线容易发散。本文引入模态区间算法解决了该问题;通过对热转换器的系统仿真验证,模态区间分析方法可有效解决含有不确定性动态系统的实时仿真问题,并得到其相应的精确的区间包络线。
本文在对我国现役的某大型液体火箭发动机进行实时仿真时,解微分方程采用四阶变步长的龙格库塔法;非线性代数方程组时,采用进行修改过的牛顿迭代法,提高了计算速度和收敛速度。
最后在实时仿真的基础上,将液体火箭发动机的数学模型扩张为模态区间模型,用龙格—库塔法、修改过的牛顿迭代法,对某大型液体火箭发动机进行模态区间仿真,得到其稳态工作时区间包络线,并用该包络线进行故障检测,结果表明该方法对大型复杂的动态系统是有效的。该研究对于设计和实现基于模态区间分析方法的液体火箭发动机故障诊断和健康监测系统具有重要的理论和应用上的参考价值。
In these days, the method is a widely used technique for the fault detection.However,It has a main disadvantage that, without faults, the simulated result is always not consistent with the real one, resulting from the uncertain parameter. By using the modal interval analysis method for modeling, it deals with the problem above.
The simulation envelopes of the dynamic system by using the Classical interval analysis method always diverge. The paper has solved this problem by using modal interval analysis method. Particularly, through the application in detecting and isolating faults in a physical system constituted by Block diagram of heat exchanger, the validity of this method is confirmed.
The paper deals with simulation of the dynamic system in the liquid rocket engine by The Runge-Kutta Method, improve the velocity and astringency of the computation.
Finally, based on real Simulation, it makes Mathematical Model into Modal interval Model for Liquid rocket engine. The Runge-Kutta Method and The Newton Method, it carries out modal interval analysis and obtains its Envelope with no fault; and it uses the Envelope to carry out Fault detection. this paper extends this approach to detect and isolate fault in the liquid rocket engine. The results demonstrate that its effectiveness to complex dynamic systems. In sum, based on modal interval analysis, this study presents a very important way for designing liquid rocket engines and achieving the fault diagnosis data.
经典区间分析算法对动态系统进行建模仿真时,包络线容易发散。本文引入模态区间算法解决了该问题;通过对热转换器的系统仿真验证,模态区间分析方法可有效解决含有不确定性动态系统的实时仿真问题,并得到其相应的精确的区间包络线。
本文在对我国现役的某大型液体火箭发动机进行实时仿真时,解微分方程采用四阶变步长的龙格库塔法;非线性代数方程组时,采用进行修改过的牛顿迭代法,提高了计算速度和收敛速度。
最后在实时仿真的基础上,将液体火箭发动机的数学模型扩张为模态区间模型,用龙格—库塔法、修改过的牛顿迭代法,对某大型液体火箭发动机进行模态区间仿真,得到其稳态工作时区间包络线,并用该包络线进行故障检测,结果表明该方法对大型复杂的动态系统是有效的。该研究对于设计和实现基于模态区间分析方法的液体火箭发动机故障诊断和健康监测系统具有重要的理论和应用上的参考价值。
In these days, the method is a widely used technique for the fault detection.However,It has a main disadvantage that, without faults, the simulated result is always not consistent with the real one, resulting from the uncertain parameter. By using the modal interval analysis method for modeling, it deals with the problem above.
The simulation envelopes of the dynamic system by using the Classical interval analysis method always diverge. The paper has solved this problem by using modal interval analysis method. Particularly, through the application in detecting and isolating faults in a physical system constituted by Block diagram of heat exchanger, the validity of this method is confirmed.
The paper deals with simulation of the dynamic system in the liquid rocket engine by The Runge-Kutta Method, improve the velocity and astringency of the computation.
Finally, based on real Simulation, it makes Mathematical Model into Modal interval Model for Liquid rocket engine. The Runge-Kutta Method and The Newton Method, it carries out modal interval analysis and obtains its Envelope with no fault; and it uses the Envelope to carry out Fault detection. this paper extends this approach to detect and isolate fault in the liquid rocket engine. The results demonstrate that its effectiveness to complex dynamic systems. In sum, based on modal interval analysis, this study presents a very important way for designing liquid rocket engines and achieving the fault diagnosis data.
引文
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3祁力群.区间分析[J]运筹学杂志.1982,(1): 1~5
4陆曙军,张育林.液体火箭发动机故障实时仿真模型.推进技术.1995: 1~6
5于百胜,黄文虎.不可能Hitting集的剔除与可能Hitting集的概率排除.Journal of Vibration Engineering .1997: 482~486
6曹阳,李庆样.非线性方法求解微分代数方程.数值计算与计算应用.1997,2: 1~6
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12 Akqelik, R. (1980). Time-Dependent Expressions for Delay, Stop Rate and Queue Length at Trafic Signals. Australian Calculation for Discrete Adaptive Trafic Signal control. Road Research Board, Internal Report, AIR 36~41
13张育林,李东旭著.动态系统故障诊断理论与应用.长沙:国防科技大学出版社,1997,12: 21~40
14吴建军.液体火箭发动机故障检测与诊断研究.国防科技大学研究生院工学博士学位论文,1995,2: 1~20
15张育林,吴建军,朱恒伟等.液体火箭发动机健康监控技术.国防科技大学出版社.1998:1-83,97-116,317~335
16樊久铭,邹经湘,申研.模态区间在液体火箭发动机故障诊断中的应用.哈尔滨工业大学学报.2006,38(9):1406~1409
17樊久铭,邹经湘,申研.模态区间方法在液体火箭发动机系统仿真中的应用.推进技术, 2006,27(3):193~196
18刘振德.涡扇发动机性能优化调整理论与试验研究.推进技术,2006:86~91
19吴建军.可重复使用液体火箭发动机智能减损控制技术.火箭推进.2005:71~81
20郑威.液体火箭发动机定性故障诊断方法.国防科技大学硕士论文.2002:3~8
21杨叔子,于洪等.基于知识的诊断推理.清华大学出版社.1993:30~40
22蔡卫峰,动态系统故障诊断技术研究进展与展望.计算机测量与控制.2002,10(12):775~777
23王之任.近代大型液体火箭发动机的特点.推进技术,No.4,1991,8: 2~6
24孙国庆.航天发射暴露的发动机故障.导弹与航天运载技术,1995: 1~20
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26刘洪刚.液体火箭发动机智能故障诊断理论与策略研究.国防科技大学研究生院工学博士学位论文,2002, 3: 1~20
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