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    • 11. 发明授权
    • Process model identification in a process control system
    • 过程控制系统中的过程模型识别
    • US07444191B2
    • 2008-10-28
    • US11243862
    • 2005-10-04
    • John CaldwellTerrence L. BlevinsPeter WojsznisWilhelm K. Wojsznis
    • John CaldwellTerrence L. BlevinsPeter WojsznisWilhelm K. Wojsznis
    • G05B13/02
    • G05B13/04G05B13/048G05B23/0254G05B23/0272
    • Disclosed is a method of controlling and managing a process control system having a plurality of control loops. The method includes implementing a plurality of control routines to control operation of the plurality of control loops, respectively. The plurality of control routines may include at least one non-adaptive control routine. Operating condition data is then collected in connection with the operation of each control loop of the plurality of control loops, and a respective process model is identified for each control loop of the plurality of control loops from the respective operating condition data collected for each control loop of the plurality of control loops. In some embodiments, the identification of the respective process models may be automatic as a result of a detected process change or be on-demand as a result of an injected parameter change.
    • 公开了一种控制和管理具有多个控制回路的过程控制系统的方法。 该方法包括实现多个控制例程以分别控制多个控制回路的操作。 多个控制程序可以包括至少一个非自适应控制程序。 然后结合多个控制回路的每个控制回路的操作来收集操作条件数据,并且从针对每个控制回路收集的相应操作条件数据中识别多个控制回路中的每个控制回路的相应过程模型 的多个控制回路。 在一些实施例中,作为检测到的过程改变的结果,可以自动地识别各个过程模型,或者作为注入的参数改变的结果而被按需。
    • 12. 发明授权
    • Adaptive multivariable process controller using model switching and attribute interpolation
    • 使用模型切换和属性插值的自适应多变量过程控制器
    • US07317953B2
    • 2008-01-08
    • US11002158
    • 2004-12-02
    • Wilhelm K. WojsznisTerrence L. BlevinsMark J. NixonPeter Wojsznis
    • Wilhelm K. WojsznisTerrence L. BlevinsMark J. NixonPeter Wojsznis
    • G05B13/02
    • G05B11/32G05B13/048G05B17/02
    • An adaptive multivariable process control system includes a multivariable process controller, such as a model predictive controller, having a multivariable process model characterized as a set of two or more single-input, single-output (SISO) models and an adaptation system which adapts the multivariable process model. The adaptation system detects changes in process inputs sufficient to start an adaptation cycle and, when such changes are detected, collects process input and output data needed to perform model adaptation. The adaptation system next determines a subset of the SISO models within the multivariable process model which are to be adapted, based on, for example, a determination of which process inputs are most correlated with the error between the actual (measured) process output and the process output developed by the multivariable process model. The adaptation system then performs standard or known model switching and parameter interpolation techniques to adapt each of the selected SISO models. After the adaptation of one or more of the SISO models, the resulting multivariable process model is validated by determining if the adapted multivariable process model has lower modeling error than the current multivariable process model. If so, the adapted multivariable process model is used in the multivariable controller.
    • 自适应多变量过程控制系统包括多变量过程控制器,例如模型预测控制器,其具有多变量过程模型,其特征在于一组两个或多个单输入单输出(SISO)模型和适应系统 多变量过程模型。 适应系统检测足够开始适应周期的过程输入的变化,并且当检测到这种变化时,收集执行模型适应所需的过程输入和输出数据。 接下来,适应系统确定多变量过程模型内的SISO模型的子集,其将被修改,例如,基于例如确定哪个过程输入与实际(测量)过程输出和 由多变量过程模型开发的过程输出。 然后,适配系统执行标准或已知的模型切换和参数插值技术以适配所选择的SISO模型。 在对一个或多个SISO模型进行了适应之后,通过确定适应的多变量过程模型是否具有比当前多变量过程模型更低的建模误差来验证所得到的多变量过程模型。 如果是这样,在多变量控制器中使用适应的多变量过程模型。
    • 13. 发明授权
    • Integrated distributed process control system functionality on a single computer
    • 在单台计算机上集成分布式过程控制系统功能
    • US07257523B1
    • 2007-08-14
    • US09510053
    • 2000-02-22
    • Mark NixonTerrence L. BlevinsWilhelm K. Wojsznis
    • Mark NixonTerrence L. BlevinsWilhelm K. Wojsznis
    • G06F17/50
    • G05B17/02
    • An apparatus is adapted to be used to create software and programming instructions for a distributed process control system having a user workstation remotely located from a distributed controller that controls one or more field devices using control modules. The apparatus includes a computer having a memory and a processing unit as well as a configuration application and a controller application stored on the computer memory to be executed on the processor. The configuration application is further capable of being executed on the user workstation of the distributed process control system to create the control modules for execution by the distributed controller while the controller application is adapted to be executed on the distributed controller to implement one of the control modules during operation of the distributed process control system. In this system, the configuration application, when run on the computer, creates a first control module capable of being used by the distributed controller within the distributed process control system and the controller application causes execution of the first control module within the computer to thereby simulate operation of the distributed process control system. The use of this system enables the simulation and testing of distributed process control system software and control modules without the use of the hardware, e.g., the distributed process controller and field devices, which will ultimately run that software.
    • 一种装置适于用于为分布式过程控制系统创建软件和编程指令,所述分布式过程控制系统具有远离位于使用控制模块控制一个或多个现场设备的分布式控制器的用户工作站。 该装置包括具有存储器和处理单元以及存储在计算机存储器上以在处理器上执行的配置应用程序和控制器应用的计算机。 配置应用还能够在分布式过程控制系统的用户工作站上执行以创建用于由分布式控制器执行的控制模块,同时控制器应用适于在分布式控制器上执行以实现控制模块之一 在分布式过程控制系统的运行期间。 在该系统中,配置应用程序在计算机上运行时,创建能够由分布式过程控制系统内的分布式控制器使用的第一控制模块,并且控制器应用程序导致在计算机内执行第一控制模块,从而模拟 分布式过程控制系统的运行。 使用该系统能够在不使用硬件的情况下对分布式过程控制系统软件和控制模块进行仿真和测试,例如最终将运行该软件的分布式过程控制器和现场设备。
    • 14. 发明授权
    • Multi-stage process modeling method
    • 多阶段过程建模方法
    • US09158295B2
    • 2015-10-13
    • US13113044
    • 2011-05-21
    • Terrence L. BlevinsWilhelm K. WojsznisChristopher J. WorekMark Nixon
    • Terrence L. BlevinsWilhelm K. WojsznisChristopher J. WorekMark Nixon
    • G06G7/48G05B17/02
    • G05B17/02G05B2219/31265G05B2219/32077
    • A process is modeled by resolving the process into a plurality of process stages, including at least a first process stage and a second process stage, and developing a plurality of models, each model corresponding to a respective one of the plurality of process stages, wherein the model corresponding to each process stage is developed using data from one or more runs of that process stage and output quality data relating to the one or more runs of that process stage and wherein the model corresponding to each process stage is adapted to produce an output quality prediction associated with that process stage, and wherein the output quality prediction produced by the model of a first one of the process stages is used to develop the model of a second one of the process stages.
    • 通过将过程解析成多个处理阶段(包括至少第一处理阶段和第二处理阶段)以及开发多个模型来建模过程,每个模型对应于多个处理阶段中的相应一个,其中 使用来自该过程级的一个或多个运行的数据和与该过程阶段的一个或多个运行相关的输出质量数据来开发与每个过程阶段相对应的模型,并且其中与每个过程阶段对应的模型适于产生输出 与该处理阶段相关联的质量预测,并且其中由第一个进程阶段的模型产生的输出质量预测用于开发第二个进程阶段的模型。