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    • 5. 发明授权
    • Method and apparatus for intelligent control and monitoring in a process control system
    • 在过程控制系统中智能控制和监控的方法和装置
    • US08036760B2
    • 2011-10-11
    • US12238801
    • 2008-09-26
    • Ashish MehtaPeter WojsznisMarty J. LewisLarry O. JundtNathan W. Pettus
    • Ashish MehtaPeter WojsznisMarty J. LewisLarry O. JundtNathan W. Pettus
    • G05B13/02
    • G05B13/048G05B17/02G05B23/0243G05B23/0272
    • A controller includes a control module to control operation of a process in response to control data, a plug-in module coupled to the control module as a non-layered, integrated extension thereof, and a model identification engine. The plug-in detects a change in the control data, and a collects the control data and data in connection with a condition of the process in response to the detected change. The model identification engine executes a plurality of model parameter identification cycles. Each cycle includes simulations of the process each having different simulation parameter values and each using the control data as an input, an estimation error calculation for each simulation based on an output of the simulation and based on the operating condition data, and a calculation of a model parameter value based on the estimation errors and simulation parameter values used in the simulation corresponding to each of the estimation errors.
    • 控制器包括:控制模块,用于响应于控制数据控制过程的操作,作为其控制模块耦合到控制模块的插件模块,作为其非分层的集成扩展,以及模型识别引擎。 插件检测控制数据的变化,并且响应于检测到的改变而与控制数据和数据结合处理的条件。 模型识别引擎执行多个模型参数识别周期。 每个循环包括具有不同模拟参数值并且每个使用控制数据作为输入的每个模拟过程的模拟,基于模拟输出并基于操作条件数据的每个模拟的估计误差计算,以及计算 基于与每个估计误差对应的仿真中使用的估计误差和模拟参数值的模型参数值。
    • 6. 发明申请
    • METHOD AND APPARATUS FOR INTELLIGENT CONTROL AND MONITORING IN A PROCESS CONTROL SYSTEM
    • 用于智能控制和监控过程控制系统的方法和装置
    • US20090112335A1
    • 2009-04-30
    • US12238801
    • 2008-09-26
    • Ashish MEHTAPeter WojsznisMarty J. LewisLarry O. JundtNathan W. Pettus
    • Ashish MEHTAPeter WojsznisMarty J. LewisLarry O. JundtNathan W. Pettus
    • G05B13/04G06G7/66
    • G05B13/048G05B17/02G05B23/0243G05B23/0272
    • A controller includes a control module to control operation of a process in response to control data, a plug-in module coupled to the control module as a non-layered, integrated extension thereof, and a model identification engine. The plug-in detects a change in the control data, and a collects the control data and data in connection with a condition of the process in response to the detected change. The model identification engine executes a plurality of model parameter identification cycles. Each cycle includes simulations of the process each having different simulation parameter values and each using the control data as an input, an estimation error calculation for each simulation based on an output of the simulation and based on the operating condition data, and a calculation of a model parameter value based on the estimation errors and simulation parameter values used in the simulation corresponding to each of the estimation errors.
    • 控制器包括:控制模块,用于响应于控制数据控制过程的操作,作为其控制模块耦合到控制模块的插件模块作为其非分层的集成扩展,以及模型识别引擎。 插件检测控制数据的变化,并且响应于检测到的改变而与控制数据和数据结合处理的条件。 模型识别引擎执行多个模型参数识别周期。 每个循环包括具有不同模拟参数值并且每个使用控制数据作为输入的每个模拟过程的模拟,基于模拟输出并基于操作条件数据的每个模拟的估计误差计算,以及计算 基于与每个估计误差对应的仿真中使用的估计误差和模拟参数值的模型参数值。
    • 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。
    • 10. 发明申请
    • 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
    • US20050149209A1
    • 2005-07-07
    • US11002158
    • 2004-12-02
    • Wilhelm WojsznisTerrence BlevinsMark NixonPeter Wojsznis
    • Wilhelm WojsznisTerrence BlevinsMark NixonPeter Wojsznis
    • G05B11/32G05B13/02G05B13/04G05B17/02
    • 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。