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Study on an Adaptive Algorithm for Time-varying System

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Study on an Adaptive Algorithm for Time-varying System

Wet Gas Meter Development Based on Slotted Orifice Couple and Neural Network Techniques

第36届中国控制会议

作者： KIM KwangHo geng yanfeng Yue Yaobin College of Information & Control Engineering China University of Petroleum(East China) Automation Engineering Faculty Kimchaek University of TechnologyCAS College of Automation & Electronic Engineering Qingdao University of Science & Technology

ISBN: (数字)9789881563934

ISBN: (纸本)9781538629185

In this paper,we presented the derivation of an adaptive algorithm for time-varying system and verified that it satisfied convergence *** on the concept of distance in parameter space,we proposed a robust identification method which identified the smallest set of discrete transfer functions under the assumption that its parameters were time-varying and described derivation of an adaptive law based on verification and update algorithm of the identified model *** also described that the proposed algorithm satisfied the convergence properties through numerical simulation.

关键词： adaptive algorithm time-varying system parameter estimation robust identification

来源： cnki会议评论

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Chinese Journal of Chemical Engineering 2007年第2期15卷 281-285页

作者：耿艳峰郑金吾石天明石岗 Department of Automation China University of Petroleum

A slotted orifice has many superiorities over a standard orifice. For single-phase flow measurement, its flow coefficient is insensitive to the upstream velocity profile. For two phase flow measurement, various characteristics of its differential pressure （DP） are stable and closely correlated with the mass flow rate of gas and liquid. The complex relationships between the signal features and the two-phase flow rate are established through the use of a back propagation （BP） neural network. Experiments were carried out in the horizontal tubes with 50ram inner diameter, ooerated with water flow rate in the range of 0.2m^3·h^-1 to 4m3·h^-1, gas flow rate in the range of 100m^3·h^-1 to 1000m^3·h^-1, and pressure at 400kPa and 850kPa respectively, where the temperature is ambient temperature. This article includes the principle of wet gas meter development, the experimental matrix, the signal processing techniques and the achieved results. On the basis of the results it is suggested that the slotted orifice couple with a trained neural network may provide a simple but efficient solution to the wet gas meter development.

关键词： wet gas meter two-phase flow slotted orifice neural network wavelet analysis principal component analysis

Noninvasive Flow Regime Identification for Wet Gas Flow Based on Flow-induced Vibration

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Chinese Journal of Chemical Engineering 2010年第5期18卷 795-803页

作者：华陈权王昌明耿艳峰石天明 College of Information & Control Engineering China University of Petroleum Dongying 257061 China College of Mechanical Engineering Nanjing University of Science and Technology Nanjing 210094 China

A novel noninvasive approach, based on flow-induced vibration, to the online flow regime identification for wet gas flow in a horizontal pipeline is proposed. Research into the flow-induced vibration response for the wet gas flow was conducted under the conditions of pipe diameter 50 mm, pressure from 0.25 MPa to 0.35 MPa, Lockhart-Martinelli parameter from 0.02 to 0.6, and gas Froude Number from 0.5 to 2.7. The flow-induced vibration signals were measured by a transducer installed on outside wall of pipe, and then the normalized energy features from different frequency bands in the vibration signals were extracted through 4-scale wavelet package transform. A "binary tree" multi-class support vector machine(MCSVM) classifier, with the normalized feature vector as inputs, and Gaussian radial basis function as kernel function, was developed to identify the three typical flow regimes including stratified wavy flow, annular mist flow, and slug flow for wet gas flow. The results show that the method can identify effectively flow regimes and its identification accuracy is about 93.3%. Comparing with the other classifiers, the MCSVM classifier has higher accuracy, especially under the case of small samples. The noninvasive measurement approach has great application prospect in online flow regime identification.

关键词： flow regime identification wet gas flow flow-induced vibration wavelet package transform support vector machine

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槽式孔板的气液两相压降倍率特性

化工学报 2006年第5期57卷 1138-1142页

作者：耿艳峰冯叔初郑金吾中国石油大学信息与控制工程学院中国石油大学储运与建筑工程学院山东东营257061

简要介绍了一种新型气液两相流量传感器———槽式孔板的工作原理,在分析两相流体与槽式孔板相互作用机理的基础上,结合实验数据和理论模型详细分析了影响槽式孔板两相压降倍率的各种因素.利用曲面拟合技术给出了能够准确表征槽式孔板... 详细信息

简要介绍了一种新型气液两相流量传感器———槽式孔板的工作原理,在分析两相流体与槽式孔板相互作用机理的基础上,结合实验数据和理论模型详细分析了影响槽式孔板两相压降倍率的各种因素.利用曲面拟合技术给出了能够准确表征槽式孔板两相压降倍率与压力、气体Froude数、Lockhart Martinelli参数之间的相关式,为凝析天然气计量技术研究奠定了基础.

关键词：多相流槽式孔板两相压降倍率凝析天然气计量技术曲面拟合

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槽式孔板的湿气分层流差压预测模型

化工学报 2013年第4期64卷 1163-1169页

作者：郑金吾张一晓耿艳峰中国石油大学信息与控制工程学院山东青岛266580

槽式孔板是一种新型的气液两相流测量元件,与标准孔板相比,槽式孔板具有前后直管段要求低、差压信号平稳、上游液相无累积等优点。通过对槽式孔板的局部阻力进行分析,槽式孔板总压降主要由摩阻压降和加速压降两部分组成。基于气液两相... 详细信息

槽式孔板是一种新型的气液两相流测量元件,与标准孔板相比,槽式孔板具有前后直管段要求低、差压信号平稳、上游液相无累积等优点。通过对槽式孔板的局部阻力进行分析,槽式孔板总压降主要由摩阻压降和加速压降两部分组成。基于气液两相流体流经槽式孔板的流动机理,利用动量守恒关系式和能量守恒关系式计算摩阻压降和加速压降,建立了槽式孔板的分层流差压预测模型。以空气/水为介质,进行了一系列实验,实验结果表明,孔径比为0.75、0.6、0.5的槽式孔板的平均相对误差分别为6.45%、11.06%、12.52%,为湿气计量算法的完善提供了参考。

关键词：槽式孔板湿气机理建模计量

旋转导向钻井工具姿态测量陀螺仪故障估计与处理方法

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中国惯性技术学报 2021年第2期29卷 273-280页

作者：耿艳峰孙建王伟亮程民彪中国石油大学(华东)控制科学与工程学院青岛266580

针对旋转导向钻井工具姿态测量系统陀螺仪故障问题,提出一种陀螺仪加性故障估计与处理方法。首先将陀螺仪故障增广为状态变量,融合加速度计测量信息建立非线性测量模型;然后针对由于模型线性化、陀螺仪漂移、钻井过程的高温、高压、强... 详细信息

针对旋转导向钻井工具姿态测量系统陀螺仪故障问题,提出一种陀螺仪加性故障估计与处理方法。首先将陀螺仪故障增广为状态变量,融合加速度计测量信息建立非线性测量模型;然后针对由于模型线性化、陀螺仪漂移、钻井过程的高温、高压、强振动等因素导致卡尔曼滤波算法估计精度变差的问题,将测量误差等效为幅值有界但分布未知的误差,提出了一种自适应扩展集员卡尔曼滤波算法,实现了陀螺仪加性故障的准确估计,利用陀螺仪故障估计值校正陀螺仪输出,实现故障条件下工具面角的准确测量。样机模拟实验结果表明在发生陀螺仪故障情况下,基于所提出的算法,工具面角估计值的最大均方根误差为3.841°,满足实际钻井技术需求,为提高旋转导向钻井工具姿态测量系统的可靠性奠定了基础。

关键词：旋转导向故障估计故障处理自适应扩展集员卡尔曼滤波陀螺仪

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基于槽式孔板与神经网络的湿气流量计

自动化仪表 2009年第5期30卷 46-48页

作者：石岗耿艳峰中国石油大学信息与控制工程学院山东东营257061

在研究某湿气流量计样机的基础上,提出了一种应用槽式孔板与神经网络技术实现湿气流量计量的方法。简要介绍了槽式孔板的特点及流量计样机的结构,采用统计分析与相关分析相结合的方法对信号特征量进行筛选,并应用神经网络技术对数据处... 详细信息

在研究某湿气流量计样机的基础上,提出了一种应用槽式孔板与神经网络技术实现湿气流量计量的方法。简要介绍了槽式孔板的特点及流量计样机的结构,采用统计分析与相关分析相结合的方法对信号特征量进行筛选,并应用神经网络技术对数据处理、构建二级神经网络系统。此设计实现了流型识别和计量,利用网络集成技术进一步提高网络系统的计量精度和泛化能力。现场测试结果表明,应用该流量计进行湿气流量计量,其气相累积流量计量误差为3%,液相累积流量计量误差为6%,满足了生产计量的精度要求。

关键词：槽式孔板神经网络网络集成特征提取湿气计量技术

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C波段低副瓣定向微带阵列天线的设计

山西大学学报(自然科学版) 2022年第4期45卷 1036-1043页

作者：左建康耿彦峰山西大学物理电子工程学院

文章提出了一种工作在C波段基于切比雪夫分布的不等分馈电网络所设计的8×4定向辐射阵列天线，主要根据切比雪夫加权函数针对线阵所对应的馈电网络实施了同相不等分的电流分配，形成了一分八的功分器作为馈电网络结构，同时采用串并联... 详细信息

文章提出了一种工作在C波段基于切比雪夫分布的不等分馈电网络所设计的8×4定向辐射阵列天线，主要根据切比雪夫加权函数针对线阵所对应的馈电网络实施了同相不等分的电流分配，形成了一分八的功分器作为馈电网络结构，同时采用串并联混合馈电网络，降低了传输损耗，减小了占用空间。测试数据表明，在4.84 GHz处，阵列天线的增益大小是15.56 d Bi，对应的E面和H面的副瓣电平大小分别是-24.12 dB和-24.97 dB。实现了微带阵列天线高增益、低副瓣和指向性好的要求。

关键词：切比雪夫阵列天线低副瓣馈电网络

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槽式孔板的低含液率气液两相流测量特性

化工学报 2007年第7期58卷 1719-1725页

作者：耿艳峰石岗李玉星郑金吾中国石油大学信息与控制工程学院中国石油大学储运与建筑工程学院山东东营257061

The slotted-orifice is a new type of flow sensor for gas-liquid two-phase flow measurement,and there is no correlation of two-phase multipliers for the slotted-orifice *** on the air-water two-phase flow experimental data of slotted-orifice,five typical correlations of the standard throttle device were applied to the data,and the application range and the reason for error involved from these correlations were *** on different modeling ideas,three new correlations,which include the Lockhart-Martinelli parameter,gas pressure and gas Froude number,were proposed and used in the study of metering technology of wet gas *** accuracy of new correlations can meet the gas industry demands for production based metering.

关键词：槽式孔板计量技术气液两相流凝析天然气组合测量