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    • 4. 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。
    • 5. 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。
    • 6. 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。
    • 7. 发明授权
    • Diagnostic expert in a process control system
    • 过程控制系统中的诊断专家
    • US06633782B1
    • 2003-10-14
    • US09499445
    • 2000-02-07
    • Trevor D. SchleissMark NixonTerrence Lynn BlevinsTodd B. BraseSuresh Ganesamoorthi
    • Trevor D. SchleissMark NixonTerrence Lynn BlevinsTodd B. BraseSuresh Ganesamoorthi
    • G05B1101
    • G05B23/0229G05B23/0283
    • A diagnostic system for use in a process control system collects and stores in a database information pertaining to the operation of the process control system, and that uses an expert engine to apply rules for analysis to the information in the database to determine solutions to problems. The database stores various types of information such as event and alarm data, notices of scheduled maintenance and changes to operating parameters, and historical data related to previous changes to the process control system that are relevant to determining both the source of the problems detected in the process control system and the steps necessary to either further analyze or correct the detected problems. The diagnostic system identifies the source of the problem and identifies and runs the appropriate analytical tools or takes remedial measures based on the rules for analysis for the expert engine.
    • 在过程控制系统中使用的诊断系统收集并存储与过程控制系统的操作有关的数据库信息,并且使用专家引擎将分析规则应用于数据库中的信息以确定问题的解决方案。 数据库存储各种类型的信息,例如事件和报警数据,计划维护通知和操作参数的更改,以及与过程控制系统的先前更改相关的历史数据,这些数据与确定在 过程控制系统以及进一步分析或纠正检测到的问题所需的步骤。 诊断系统识别问题的根源,并根据专家引擎的分析规则识别并运行适当的分析工具或采取补救措施。