会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 1. 发明授权
    • Integrated optimal model predictive control in a process control system
    • 过程控制系统中的综合最佳模型预测控制
    • US06721609B1
    • 2004-04-13
    • US09593327
    • 2000-06-14
    • Wilhelm K. WojsznisTerrence L. BlevinsRichard C. SeemanMark J. Nixon
    • Wilhelm K. WojsznisTerrence L. BlevinsRichard C. SeemanMark J. Nixon
    • G05B1302
    • G05B13/0275G05B13/048
    • A model predictive controller having a set of inputs adapted to receive process output signals and further having a set of outputs adapted to supply process input signals to process control devices is configured to perform integrated optimal model predictive control. The controller provides integrated optimal control using a feedback path that couples a selected output to an input having a setpoint that is equal to the constraint limit of the selected output. The controller maintains the selected output at its constraint limit until one of the outputs, other than the selected output, is going to reach or exceed the associated constraint limit for that output. When the output is going to reach or exceed the associated constraint limit for that output, the controller relaxes the setpoint until the output is no longer going to reach or exceed the associated constraint limit for that output.
    • 具有适于接收处理输出信号并且还具有适于向处理控制装置提供过程输入信号的一组输出的一组输入的模型预测控制器被配置为执行集成的最佳模型预测控制。 控制器使用将所选择的输出耦合到具有等于所选输出的约束极限的设定点的输入的反馈路径来提供集成的最佳控制。 控制器将所选择的输出保持在其约束极限,直到除了所选输出之外的输出之一将达到或超过该输出的相关约束极限。 当输出达到或超过该输出的相关约束限制时,控制器放松设定值,直到输出不再达到或超过该输出的相关约束极限。
    • 7. 发明授权
    • Diagnostics in a process control system which uses multi-variable control techniques
    • 使用多变量控制技术的过程控制系统中的诊断
    • US06615090B1
    • 2003-09-02
    • US09499446
    • 2000-02-07
    • Terrence L. BlevinsMark J. NixonWilhelm K. Wojsznis
    • Terrence L. BlevinsMark J. NixonWilhelm K. Wojsznis
    • G05G1101
    • G05B23/0227G05B23/027
    • A diagnostic tool automatically collects and stores data indicative of a variability parameter, a mode parameter, a status parameter and a limit parameter for a multi-variable function block associated with one or more devices or loops within a process control system, processes the collected data to determine which devices, loops or function blocks have problems that result in reduced performance of the process control system, displays a list of detected problems to an operator and then suggests the use of other, more specific diagnostic tools to further pinpoint or correct the problems. When the diagnostic tool recommends and executes a data intensive application as the further diagnostic tool, it automatically configures a controller of the process control network to collect the data needed for such a tool.
    • 诊断工具自动地收集和存储指示与过程控制系统内的一个或多个设备或循环相关联的多变量功能块的变量参数,模式参数,状态参数和限制参数的数据,处理收集的数据 以确定哪些设备,循环或功能块具有导致过程控制系统的性能降低的问题,向操作者显示检测到的问题的列表,然后建议使用其他更具体的诊断工具来进一步确定或纠正问题 。 当诊断工具推荐并执行数据密集型应用程序作为其他诊断工具时,它会自动配置过程控制网络的控制器,以收集此类工具所需的数据。
    • 8. 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。