FCBS应用软件的设计

本文介绍了集散系统应用软件—反馈控制组态软件包的设计与实现,通过模拟组态实验得到了满意效果。一、引言集散系统的组态设计思想成为计算机过程控制发展的主导趋势。组态是集散系统最突出的特点之一,一般用户是针对具体的控制对象进行开发研制,具有局限性,对于大面积的移植还要做大量的工作,因而开发一种具有通用性强、适用于各工业生产过程,按组态方式构成监控系统的应用软件,是迫     

PKS＋TRICON＋PLC结构在神华煤制油过程控制中的应用

PKS＋TRICON＋PLC结构是神华煤制油过程控制中的主导控制结构。对控制系统组态中如何完善软、硬件的组态,提高煤制油过程控制应用水平进行探讨。     

用模块化程序开发间歇过程计算机控制

介绍在小规模工程项目中如何用上位机监控组态软件和可编程控制器梯形图模块化编程相结合的方法设计间歇生产过程控制系统软件，为开发间歇过程控制系统软件提供一种新的思想。     

CS3000功能块组态应用体会

结合实例,简要介绍横河CENTUM CS3000 DCS系统在化工过程控制组态中常用功能块的特点、组态技巧和应用的体会.     

PROFIBUS现场总线在炭黑生产过程控制中的应用

介绍了一种低成本、高性能的PROFIBUS现场总线系统及其在炭黑生产过程控制中的应用：PROFIBUS是一种国际性的开放的现场总线，它和西门子的PIE控制器、I／O模板硬件，以及iFIX2．6软件组态的操作站，组成了一种规模可变的DCS系统。这是一种经济、完善、强大的自动化解决方案。     

DCS系统在联合站监控系统中的应用

DCS监控系统以其通用性强、系统组态灵活、控制功能完善、数据处理方便、显示操作集中、调试方便、安全运行可靠等优点,在过程控制领域有着广泛应用。针对长期以来困扰我国原油联合站生产管理中存在的工艺流程参数监测技术落后,控制技术达不到要求等迫切需要解决的问题,本文结合原油联合站的实际情况,对联合站的分布式监控系统应用进行分析说明。     

Research and Implementation of Universal Industrial Controller Based on STM32

设计的基于嵌入式微处理器、可组态的工业通用控制嚣支持以控制系统图形化编程为基础的过程控制.在论述控制嚣硬件整体架构的基础上,详细分析了软件设计中,组态序列解析方法、多任务之间的同步及通信协议状态转换等影响系统实时性和鲁棒性的因素,并提出有效的解决方法.     

模糊控制系统组态平台的设计及应用

提出一种模糊控制系统可视化组态平台设计和实现方法.在该平台上可以方便地实现对隶属函数和规则集的设计并用遗传算法加以优化.系统提供多种改进的模糊控制算法,根据实际被控对象特点组态控制系统,通过仿真设计控制器参数,并可以在线整定控制系统的可调参数,以实现对复杂工业过程的复合控制.对实际工业对象的控制结果表明,该平台组态灵活方便,复合控制算法比常规控制具有更强的鲁棒性和更好的稳态性能,能使系统的响应满足既快速又不振荡的要求.     

用KMM可编程调节器控制苯酐氧化炉

利用 KMM 调节器组态灵活、功能强等特点,控制具有大滞后、非线性特征的苯酐氧化炉,取得良好效果。     

基于PLC与KingVIEW的精馏自控系统

根据某化工精馏生产线的工艺流程,中国工程物理研究院化工材料研究所自行设计了一套以PLC和King VIEW为核心的自控系统,给出了硬件组成和软件设计中的流量控制程序和组态程序。实现了精馏过程的数据转换、信号处理、流量累积、过程控制、实时操作以及实时显示工艺数据等功能。     

A mixed control chart using process capability index

Control charts are considered as a compulsory tool for the monitoring and improvement of the quality of products. The commonly used attribute and the variable control charts are unsatisfactory for process monitoring. To overcome this di?culty, we proposed a monitoring scheme that is an improved technique based on the joint merits of the attribute as well as the variable control charts. The control chart coe?cients have been determined for in-control and out-of-control situations for specified average run length values using simulation. The e?ciency of the proposed control chart has been evaluated using average run length criteria for different values of the process settings. A practical example has been studied for implementation of the proposed technique. It has been observed that the proposed chart performs well for the mixed technique under the process capability index.     

低频人工谐振波对纳米微球深部调剖封堵效果影响

波场采油技术以其成本低,工艺简单,对环境无污染,效果显著等特点,已经受到各国的关注,低频人工谐振波已在油田广泛应用。膨胀型纳米柔性微球很好的解决了低渗透,特低渗透油藏深部调剖中＂注得进、堵得住＂的技术难题,为低渗透,特低渗透油藏的进一步开发提供了很大帮助。故研究低频人工谐振波对纳米微球深部调剖封堵效果影响就显得尤为重要,以实现二者在低渗透油田开发中的合理结合。     

System identification and PID controller tuning using band-pass filters

An online recursive system identification technique using band-pass filters has been developed to estimate the continuous-time frequency response of any process control system at a number of discrete frequencies. Tuning of PID controllers employs a gradient optimization technique, based on the estimated discrete frequency response of the process rather than a transfer function model of the process. The performances of the identification technique and controller tuning algorithm are demonstrated by a simulation and by experimental results on a distillation column composition control.     

微机控制在间二硝基苯生产中的应用

硝化反应是一个强烈放热的反应,温度控制对硝化过程的安全生产和产品质量有很大影响,本文介绍了通过计算机控制硝化反应温度,并将其应用在硝基苯硝化生产中,取得了显著的效果     

红外热成像测温技术在无机非金属材料工业中的应用

应用红外热成像测温技术，对几种陶瓷坯件在烧结过程中温度场的分布进行系统的测试和研究，首次揭示了陶瓷材料在不同温度下的动态温度场，利用计算机处理技术探讨了陶瓷坯体在烧结过程中变形与温度场的关系，并分析了红外热成像技术在无机非金属材料工业中的各种应用，包括动态温度场的测试，设备监控，故障诊断，无损检测，自动控制等。说明了红外热成像 技术在本行业中具有广阔的应用前景。     

Contents Lists and Abstracts from the Journal of the Adhesion Society of Japan

This paper discusses a new method of evaluating thin film adhesion both qualitatively and quantitatively via a combination of peeling and image processing techniques. The adhesion of thin film on the entire substrate can be quickly evaluated and quantified to a continuous response variable which is superior to a discrete response variable as described in the ASTM D3359-78 publication. Feasibility of this technique has been demonstrated through a gauge capability study which resulted in 2.7% P/T (precision to tolerance) ratio at six sigma standard deviation for a tolerance of 100. Experimental results using the proposed method to evaluate the process/property relationship of aluminum films as deposited onto various dielectric substrates such as polyimide, silicon dioxide, and silicon nitride have been obtained and have been shown to agree with conventional stud pull test results. The estimated cycle time to evaluate thin film adhesion is five minutes per 4-inch size wafer once the sample is prepared. This short process cycle time and proven reliability show that there is merit in implementing this technique both in the laboratory for process development and in the factory for statistical process control of products.     

A New Method to Evaluate Thin Film Adhesion

This paper discusses a new method of evaluating thin film adhesion both qualitatively and quantitatively via a combination of peeling and image processing techniques. The adhesion of thin film on the entire substrate can be quickly evaluated and quantified to a continuous response variable which is superior to a discrete response variable as described in the ASTM D3359-78 publication. Feasibility of this technique has been demonstrated through a gauge capability study which resulted in 2.7% P/T (precision to tolerance) ratio at six sigma standard deviation for a tolerance of 100. Experimental results using the proposed method to evaluate the process/property relationship of aluminum films as deposited onto various dielectric substrates such as polyimide, silicon dioxide, and silicon nitride have been obtained and have been shown to agree with conventional stud pull test results. The estimated cycle time to evaluate thin film adhesion is five minutes per 4-inch size wafer once the sample is prepared. This short process cycle time and proven reliability show that there is merit in implementing this technique both in the laboratory for process development and in the factory for statistical process control of products.     

Nonlinear model-based repetitive control of simulated moving bed process

The simulated moving bed (SMB) process, after more than 40 years of successful operation in the petro-chemical industry, has emerged as one of the most important separation processes in the pharmaceutical, fine chemical, and biotechnology fields. However, optimal operation and automatic control of the SMB process is still challenging because of its complex dynamics caused by periodic port switching and inherent nonlinearity. In this research, a novel advanced control technique for the SMB process has been proposed. In the proposed technique, regulation of both extract and raffinate purities measured at the terminal time of each switching period is performed by a nonlinear repetitive controller which utilizes the past period data as feedback information. The repetitive controller was designed on the basis of a fundamental nonlinear model of the SMB process. Through application to a numerical SMB process, it was found that the proposed control technique performs quite satisfactorily against model error as well as set point and disturbance changes.     

Integrated data reconciliation with generic model control for the steel pickling process

To implement an advanced control algorithm, measurements of process outputs are usually used to determine control action to a process. Nevertheless, measurements of process outputs are often subjected to measuring and signal errors as well as noise. Therefore, in this work, Generic Model Control (GMC), an advanced control technique, with data reconciliation technique has been applied to control the pH of the pickling process consisting of three pickling and three rinsing baths. Here, the data reconciliation problem involves six nodes and fourteen streams. The presence of errors in the data set is determined and identified via measurement test, In addition, the measurement error covariance is initially assumed to be a known variance matrix and is updated every iteration. Simulation results have shown that the reconciled process data give a better view of the true states of the process than raw measuring data. With these reconciled process data, the GMC controller can control the process at a desired set point with great success.