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论文摘要

机载液压油源系统非马尔科夫随机Petri网模型与时间参数识别

Non-Markovian Stochastic Petri Nets Model and Identification for Onboard Hydraulic Oil System

作者:刘久富(南京航空航天大学 自动化学院);陈哲(南京航空航天大学 自动化学院);王正谦(南京航空航天大学 自动化学院);王志胜(南京航空航天大学 自动化学院);杨忠(南京航空航天大学 自动化学院)

Author:Liu Jiufu(College of Automation Eng.,Nanjing Univ. of Aeronautics and Astronautics);Chen Zhe(College of Automation Eng.,Nanjing Univ. of Aeronautics and Astronautics);Wang Zhengqian(College of Automation Eng.,Nanjing Univ. of Aeronautics and Astronautics);Wang Zhisheng(College of Automation Eng.,Nanjing Univ. of Aeronautics and Astronautics);Yang Zhong(College of Automation Eng.,Nanjing Univ. of Aeronautics and Astronautics)

收稿日期:2013-06-27          年卷(期)页码:2013,45(6):170-175

期刊名称:工程科学与技术

Journal Name:Advanced Engineering Sciences

关键字:随机Petri网;非马尔科夫;建模;参数识别

Key words:stochastic Petri Nets;non-Markovian;modeling;parameter identification

基金项目:国家自然科学基金资助项目(60674100)

中文摘要

机载液压油源系统的正常行执行时间服从正态分布和异常行为执行时间服从指数分布。Petri网模型处理确定行为,不能处理随机行为。随机Petri网(stochastic Petri nets,SPN)模型与确定-随机Petri网(DSPN)模型处理属于指数分布的行为,不能处理正态分布的行为。提出用正态-随机Petri网(NSPN)对机载液压油源系统建模,给出正态-随机Petri网模型的正态参数与指数分布参数的识别算法。仿真计算结果表明,计算的变迁时间参数值与系统实际运行时间参数值相比误差较小,验证了该方法的有效性。

英文摘要

The onboard hydraulic oil source system has some fault-free behaviors with normal distributed periods and some faulty ones with exponentially distributed periods. The model of the onboard hydraulic oil source system was built by normal-stochastic PNs which combined firing periods with normal and exponential distribution. A method was proposed for the the firing periods parameters identification, which was the mean valuemand the periods standard deviationσfor normal distribution or the exponential distribution mean valueμ. The simulation results showed that the computing operating periods parameters were consistent with the real operating periods parameters.

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