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    • 1. 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。
    • 2. 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。
    • 4. 发明授权
    • On-line alignment of a process analytical model with actual process operation
    • 流程分析模型与实际流程操作的在线对齐
    • US08880203B2
    • 2014-11-04
    • US12784689
    • 2010-05-21
    • Wilhelm K. WojsznisTerrence Lynn Blevins
    • Wilhelm K. WojsznisTerrence Lynn Blevins
    • G05B23/02
    • G05B23/024
    • A batch modeling and analysis system uses a simple and computationally inexpensive technique to align data collected from an on-going, currently running or on-line batch process with a batch model formed for the batch process so as to enable the reliable determination of the current operational state of the on-line batch process with respect to the batch model. This data alignment technique enables further statistical processing techniques, such as projection to latent sources (PLS) and principle component analysis (PCA) techniques, to be applied to the on-line batch data to perform analyses on the quality of the currently running batch. These analyses, in turn, provide useful information to a user, such as a batch operator, that enables the user to determine the quality of the batch at the present time, based on the batch model, and the likelihood that the desired batch output quality metrics will be reached at the end of the batch run.
    • 批量建模和分析系统使用简单且计算上便宜的技术来将从正在进行的,当前运行的或在线批处理过程收集的数据与为批处理形成的批处理模型进行对准,以便可靠地确定当前的 关于批量模型的在线批处理的操作状态。 该数据对准技术使得能够进一步统计处理技术,例如投影到潜在源(PLS)和主成分分析(PCA)技术,以应用于在线批量数据,以对当前运行的批次的质量进行分析。 这些分析又向诸如批量运算符的用户提供有用的信息,使得用户能够基于批次模型确定当前批次的质量,以及所需批次输出质量的可能性 在批量运行结束时将达到指标。
    • 8. 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。