公开(公告)号：US07136719B2

公开(公告)日：2006-11-14

申请号：US11240910

申请日：2005-09-30

Applicant: Sascha Pokorny ,  Joachim Hennig ,  Joachim Meier ,  Heiner Brinkmann ,  Ralf Reifferscheidt ,  Matthias Weiss

Inventor： Sascha Pokorny ,  Joachim Hennig ,  Joachim Meier ,  Heiner Brinkmann ,  Ralf Reifferscheidt ,  Matthias Weiss

IPC: G06F19/00 ,  G06F15/18 ,  G06B13/02 ,  G06B13/00

CPC classification number: G05B13/0285 ,  B65H2511/52 ,  B65H2513/10 ,  G05B13/024

Abstract: A method for stabilizing machine processes in which the machines are regulated by a machine regulation matrix selected from a plurality of machine regulation matrixes using a detected machine sensor value, set-point values of the machines being stored in each machine regulation matrix. A process is optimized according to a predefined criterion by also using some of the machine sensor values such that a machine regulation matrix which is optimal according to the process optimization is determined from the plurality of machine regulation matrixes and is subsequently used for regulating the machines.

Abstract translation: 一种用于稳定机器过程的方法，其中机器由使用检测到的机器传感器值的多个机器调节矩阵中选择的机器调节矩阵来调节，机器的设定值被存储在每个机器调节矩阵中。 根据预定义的标准，通过使用一些机器传感器值来优化过程，使得根据过程优化最优化的机器调节矩阵从多个机器调节矩阵确定，并且随后用于调节机器。

公开(公告)号：US07853339B2

公开(公告)日：2010-12-14

申请号：US11864505

申请日：2007-09-28

Applicant: John P. Miller ,  Marcus R. Lundeberg

Inventor： John P. Miller ,  Marcus R. Lundeberg

IPC: G06B13/02 ,  G06F17/18 ,  G06F19/00

CPC classification number: G05B23/0245 ,  G05B23/021 ,  G05B23/024 ,  Y10S715/965

Abstract: Methods and systems to detect steady-state operations in a process of a process plant include collecting process data. The collected process data is generated from a plurality of process variables of the process. A multivariate statistical model of the operation of the process is generated using the process data. The multivariate statistical model may be generated from a principal component analysis. The model is executed to generate outputs corresponding to the most significant variations in the process. Statistical measures of the outputs are generated and used to determine whether a steady-state or unsteady-state is related to the process.

Abstract translation: 在过程工厂的过程中检测稳态操作的方法和系统包括收集过程数据。 收集的过程数据是从过程的多个过程变量生成的。 使用过程数据生成过程操作的多变量统计模型。 多变量统计模型可以从主成分分析生成。 该模型被执行以产生对应于该过程中最重要变化的输出。 生成输出的统计量度，并用于确定稳态或非稳态是否与过程相关。

公开(公告)号：US5818714A

公开(公告)日：1998-10-06

申请号：US690778

申请日：1996-08-01

Applicant: Hehong Zou ,  Scott E. Brigham

Inventor： Hehong Zou ,  Scott E. Brigham

IPC: G05B13/04 ,  G06B13/02

CPC classification number: G05B13/042

Abstract: A process control system controls a non-self regulating process through a control output signal based on a set point and a measured process variable. The process control system includes a control circuit having a set point input, a process variable input and a control output. The control circuit generates the control output signal on the control output as a function of the set point received on the set point input and the measured process variable received on the process variable input. An auto-tuning circuit excites the process, estimates a process model based on an intersection between rising and falling asymptotes of the measured process variable, and then tunes the control function to the process based on the process model. The auto-tuning circuit obtains robust results, but is computationally simple such that the circuit can be implemented with hardware or software in low-power and low-memory applications, such as in field-mounted controllers.

Abstract translation: 过程控制系统通过基于设定点和测量过程变量的控制输出信号来控制非自调节过程。 过程控制系统包括具有设定点输入，过程变量输入和控制输出的控制电路。 控制电路根据设定点输入端接收的设定点和过程变量输入端接收的测量过程变量，在控制输出端产生控制输出信号。 自动调谐电路激励过程，基于测量过程变量的上升和下降渐近线之间的交点估计过程模型，然后根据过程模型调整控制功能到过程。 自动调谐电路获得了可靠的结果，但是计算上简单，因此电路可以在低功耗和低内存应用中的硬件或软件实现，如现场安装的控制器。