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    • 3. 发明授权
    • Self-diagnostic process control loop for a process plant
    • 过程工厂的自诊断过程控制回路
    • US08509926B2
    • 2013-08-13
    • US11565767
    • 2006-12-01
    • Terrence L. BlevinsWilhelm K. WojsznisGregory K. McMillanPeter Wojsznis
    • Terrence L. BlevinsWilhelm K. WojsznisGregory K. McMillanPeter Wojsznis
    • G05B11/01G05B13/02G05B19/42G06F11/30G06F11/00G21C17/00
    • G05B23/0251
    • A method of diagnosing an adaptive process control loop includes measuring process control loop signal data, generating a plurality of process control loop parameters from the process loop signal data and evaluating a condition of the adaptive process control loop from one or more of the plurality of process control loop parameters. The process control loop data is generated as a result of a normal operation of one or more process control devices within the adaptive process control loop when the adaptive process control loop is connected on-line within a process control environment. A self-diagnostic process control loop includes a diagnostic tool adapted to receive a diagnostic index pertaining to a process control loop parameter for each component of the process control loop and for the complete process control loop. Each diagnostic index is generated from signal data by a corresponding index computation tool. The diagnostic tool is further adapted to evaluate a condition of the process control loop from one or more of the diagnostic indices.
    • 诊断自适应过程控制回路的方法包括测量过程控制环路信号数据,从过程回路信号数据生成多个过程控制回路参数,并从多个过程中的一个或多个处理自适应过程控制回路的状况 控制回路参数。 当自适应过程控制回路在过程控制环境中在线连接时,作为自适应过程控制回路内的一个或多个过程控制设备的正常操作的结果,生成过程控制回路数据。 自诊断过程控制回路包括诊断工具,其适于接收与过程控制回路的每个部件和整个过程控制回路相关的过程控制回路参数的诊断指标。 每个诊断索引通过相应的索引计算工具从信号数据生成。 该诊断工具还适于从一个或多个诊断指标评估过程控制回路的状况。
    • 6. 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。
    • 7. 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。
    • 8. 发明授权
    • Continuously scheduled model parameter based adaptive controller
    • 连续调度模型参数自适应控制器
    • US08280533B2
    • 2012-10-02
    • US12489106
    • 2009-06-22
    • Peter WojsznisTerrence Lynn BlevinsWilhelm K. Wojsznis
    • Peter WojsznisTerrence Lynn BlevinsWilhelm K. Wojsznis
    • G05B13/02G06F7/60G06F17/10
    • G05B13/042G05B11/42G05B17/02
    • An adaptive process controller performs continuously scheduled process model parameter interpolation to determine a particular set of process model parameters which are used to develop controller tuning parameters for controller tuning. More particularly, a state-based, adaptive PID controller described herein uses a new technique to determine an appropriate process model to be used to perform adaptive tuning over the various operating regions of the plant, and in particular, uses a process model parameter determination technique that enables continuously scheduled process model parameter update over the various plant operating regions or points. The use of this continuously scheduled process model parameter update method provides for smoother transitions between tuning parameters used in the PID controller during adaptive tuning procedures which are implemented based on changes in the operating region or the operating point of the process, thereby providing for better overall control.
    • 自适应过程控制器执行连续调度的过程模型参数插值,以确定用于开发用于控制器调谐的控制器调整参数的特定过程模型参数集合。 更具体地,本文描述的基于状态的自适应PID控制器使用新技术来确定要用于在工厂的各种操作区域执行自适应调整的适当过程模型,并且特别地,使用过程模型参数确定技术 这可以在各种工厂操作区域或点上实现连续计划的过程模型参数更新。 使用这种连续计划的过程模型参数更新方法提供了在基于操作区域或过程的操作点的变化实现的自适应调整过程期间在PID控制器中使用的调谐参数之间更平滑的转换,从而提供更好的整体 控制。
    • 9. 发明申请
    • Continuously Scheduled Model Parameter Based Adaptive Controller
    • 连续计划模型参数自适应控制器
    • US20090319060A1
    • 2009-12-24
    • US12489106
    • 2009-06-22
    • Peter WojsznisTerrence Lynn BlevinsWilhelm K. Wojsznis
    • Peter WojsznisTerrence Lynn BlevinsWilhelm K. Wojsznis
    • G05B13/02G06N5/02
    • G05B13/042G05B11/42G05B17/02
    • An adaptive process controller performs continuously scheduled process model parameter interpolation to determine a particular set of process model parameters which are used to develop controller tuning parameters for controller tuning. More particularly, a state-based, adaptive PID controller described herein uses a new technique to determine an appropriate process model to be used to perform adaptive tuning over the various operating regions of the plant, and in particular, uses a process model parameter determination technique that enables continuously scheduled process model parameter update over the various plant operating regions or points. The use of this continuously scheduled process model parameter update method provides for smoother transitions between tuning parameters used in the PID controller during adaptive tuning procedures which are implemented based on changes in the operating region or the operating point of the process, thereby providing for better overall control.
    • 自适应过程控制器执行连续调度的过程模型参数插值,以确定用于开发用于控制器调谐的控制器调整参数的特定过程模型参数集合。 更具体地,本文描述的基于状态的自适应PID控制器使用新技术来确定要用于在工厂的各种操作区域执行自适应调整的适当过程模型,并且特别地,使用过程模型参数确定技术 这可以在各种工厂操作区域或点上实现连续计划的过程模型参数更新。 这种连续计划的过程模型参数更新方法的使用提供了在基于操作区域或过程的操作点的变化实现的自适应调整过程期间在PID控制器中使用的调谐参数之间更平滑的转换,从而提供更好的总体 控制。