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1. 发明授权

US07050863B2 Integrated model predictive control and optimization within a process control system 有权
标题翻译：过程控制系统中的集成模型预测控制和优化
公开(公告)号：US07050863B2
公开(公告)日：2006-05-23
申请号：US10627362
申请日：2003-07-25
申请人： Ashish Mehta , Peter Wojsznis , Wilhelm K. Wojsznis , Terrence L. Blevins , Dirk Thiele , Ron Ottenbacher , Mark Nixon
发明人： Ashish Mehta , Peter Wojsznis , Wilhelm K. Wojsznis , Terrence L. Blevins , Dirk Thiele , Ron Ottenbacher , Mark Nixon
IPC分类号： G05B13/02
CPC分类号： G05B11/32 , G05B13/042 , G05B13/048
摘要： A process control configuration system is provided for use in creating or viewing an integrated optimization and control block that implements an optimization routine and a multiple-input/multiple-output control routine. The configuration system may enable a user to display or configure the optimizer or the control routine. A storage routine may store information pertaining to a plurality of control and auxiliary variables and to a plurality of manipulated variables to be used by the optimization routine and/or the control routine. A display routine may present a display to a user regarding the information pertaining to the plurality of control and auxiliary variables and to the plurality of manipulated variables.
摘要翻译：提供了一种过程控制配置系统，用于创建或查看实现优化程序和多输入/多输出控制程序的集成优化和控制块。配置系统可以使用户能够显示或配置优化器或控制例程。存储程序可以存储关于多个控制和辅助变量的信息以及要由优化例程和/或控制程序使用的多个操作变量。显示例程可以向用户呈现关于与多个控制和辅助变量有关的信息以及多个操作变量的显示。

2. 发明授权

US08055358B2 Multi-objective predictive process optimization with concurrent process simulation 有权
标题翻译：多目标预测过程优化与并发过程仿真
公开(公告)号：US08055358B2
公开(公告)日：2011-11-08
申请号：US11567107
申请日：2006-12-05
申请人： Terrence L. Blevins , Wilhelm K. Wojsznis , Mark J. Nixon , Peter Wojsznis
发明人： Terrence L. Blevins , Wilhelm K. Wojsznis , Mark J. Nixon , Peter Wojsznis
IPC分类号： G05B13/02
CPC分类号： G05B17/02 , G05B13/022 , G05B13/048
摘要： A system and method for controlling a process includes simulating the process and producing a simulated output of the process, developing a set of target values based on measured inputs from the process and based on the simulated output from the process simulator, and producing multiple control outputs configured to control the process based on the set of target values during each operational cycle of the process control system. The simulated outputs include one or more predicted future values up to the steady state of the process.
摘要翻译：用于控制过程的系统和方法包括模拟过程并产生过程的模拟输出，基于来自过程的测量输入并基于来自过程模拟器的模拟输出开发一组目标值，并产生多个控制输出被配置为在过程控制系统的每个操作循环期间基于目标值集合来控制过程。模拟输出包括直到该过程稳定状态的一个或多个预测的未来值。

3. 发明授权

US07272454B2 Multiple-input/multiple-output control blocks with non-linear predictive capabilities 有权
标题翻译：具有非线性预测能力的多输入/多输出控制块
公开(公告)号：US07272454B2
公开(公告)日：2007-09-18
申请号：US10454937
申请日：2003-06-05
申请人： Wilhelm K. Wojsznis , Terrence L. Blevins , Ashish Mehta
发明人： Wilhelm K. Wojsznis , Terrence L. Blevins , Ashish Mehta
IPC分类号： G05B13/02
CPC分类号： G05B13/027 , G05B13/048
摘要： A process controller that may be used to control a process having a set of process outputs effected by a set of process control input signals includes a multiple-input/multiple output controller that uses the process outputs to develop the set of process control input signals and a process model, which may be a non-linear process model, that receives the set of process control input signals to produce a prediction signal for one or more of the process outputs. The multiple-input/multiple-output control element includes another process model, which may be a standard linear process model, to develop a prediction vector for each of the process outputs and includes a correction unit that modifies the prediction vector for the one or more of the process outputs using the prediction signal for the one or more of the process outputs to thereby compensate for the non-linearities of the process.
摘要翻译：可以用于控制具有由一组过程控制输入信号影响的一组过程输出的过程的过程控制器包括多输入/多输出控制器，其使用过程输出来开发一组过程控制输入信号，以及可以是非线性过程模型的过程模型，其接收一组过程控制输入信号以产生一个或多个过程输出的预测信号。多输入/多输出控制元件包括可以是标准线性过程模型的另一过程模型，用于为每个过程输出开发预测向量，并且包括校正单元，其修改一个或多个的过程输出使用用于一个或多个过程输出的预测信号，从而补偿过程的非线性。

4. 发明授权

US06445963B1 Integrated advanced control blocks in process control systems 有权
标题翻译：过程控制系统中集成的先进控制块
公开(公告)号：US06445963B1
公开(公告)日：2002-09-03
申请号：US09412078
申请日：1999-10-04
申请人： Terrence L. Blevins , Wilhelm K. Wojsznis , Vasiliki Tzovla , Dirk Thiele
发明人： Terrence L. Blevins , Wilhelm K. Wojsznis , Vasiliki Tzovla , Dirk Thiele
IPC分类号： G05B1302
CPC分类号： G05B13/0285 , G05B11/32 , G05B13/048 , Y10S706/92
摘要： An advanced control block that implements multiple-input/multiple-output control, such as model predictive control, within a process control system is initiated by creating an initial control block having generic control logic and desired control inputs and control outputs communicatively connected to process outputs and process inputs within a process control routine. A waveform generator within the control block systematically upsets each of the process inputs via the control block outputs using excitation waveforms designed for use in developing a process model. At the same time, a data collection routine collects data indicating the response of each of the process outputs to the waveforms delivered at each of the process inputs. After sufficient data has been collected, a process modeling routine generates a process model from the collected data and a control logic parameter creation routine creates control logic parameters for the control logic from the process model. The control logic parameters and the process model are then downloaded to the control block to complete formation of the advanced control block. Thereafter, the advanced control block is used to provide advanced process control within the process control routine. Likewise, the process model is used to provide simulation of the process or to produce virtual process outputs.
摘要翻译：通过创建具有通用控制逻辑的初始控制块和通信地连接到过程输出的所需控制输入和控制输出来启动在过程控制系统内实现多输入/多输出控制（例如模型预测控制）的高级控制块并在过程控制程序中处理输入。控制块内的波形发生器通过使用设计用于开发过程模型的激励波形，经由控制块输出系统地扰乱每个过程输入。同时，数据采集程序将指示每个过程输出的响应的数据收集到在每个过程输入处传送的波形。在收集足够的数据之后，过程建模程序从收集的数据生成过程模型，并且控制逻辑参数创建例程从过程模型创建控制逻辑的控制逻辑参数。然后将控制逻辑参数和过程模型下载到控制块，以完成高级控制块的形成。此后，高级控制块用于在过程控制程序中提供先进的过程控制。同样，过程模型用于提供过程的仿真或产生虚拟过程输出。

5. 发明授权

US06970750B2 Model-free adaptation of a process controller 失效
标题翻译：过程控制器的无模型自适应
公开(公告)号：US06970750B2
公开(公告)日：2005-11-29
申请号：US10126768
申请日：2002-04-19
申请人： Wilhelm K. Wojsznis , Terrence L. Blevins , Dirk Thiele , John A. Gudaz
发明人： Wilhelm K. Wojsznis , Terrence L. Blevins , Dirk Thiele , John A. Gudaz
IPC分类号： G05B13/02
CPC分类号： G05B13/024
摘要： An adaptive process controller drives a process variable to be substantially equivalent to a set point and adapts the controller gain, the controller reset, and/or the controller rate, based on model free adaptation. The adaptive controller combines a controller gain computed from an oscillation index with a controller gain computed from a steady state estimate and that adapts the controller reset/rate by forcing the ratio of two of the controller proportional, integral or derivative terms to be equal to a predetermined value.
摘要翻译：自适应过程控制器将过程变量驱动为基本上等同于设定点，并且基于模型自适应来调整控制器增益，控制器复位和/或控制器速率。自适应控制器将从振荡指数计算的控制器增益与从稳态估计计算的控制器增益相结合，并通过强制控制器比例，积分或导数项中的两个的比例等于一个来适应控制器复位/速率预定值。

6. 发明授权

US06760716B1 Adaptive predictive model in a process control system 有权
标题翻译：过程控制系统中的自适应预测模型
公开(公告)号：US06760716B1
公开(公告)日：2004-07-06
申请号：US09590630
申请日：2000-06-08
申请人： Sai Ganesamoorthi , Terrence L. Blevins , Vasiliki Tzovla , Wilhelm K. Wojsznis , Ashish Mehta
发明人： Sai Ganesamoorthi , Terrence L. Blevins , Vasiliki Tzovla , Wilhelm K. Wojsznis , Ashish Mehta
IPC分类号： G06F1518
CPC分类号： G05B13/027 , G05B13/048
摘要： An adaptive predictive model includes a standard predictive model, such as a neural network or a natural model, constructed to produce an output that predicts a process parameter and a combiner network that combines the output of the predictive model with one or more measured values of the process parameter to produce an adjusted predicted process parameter during operation of a process. The adaptive predictive model reduces or corrects for non-linear as well as linear errors in the prediction of a process variable without having to reform the predictive model itself, while requiring only minor increases in processing power and time.
摘要翻译：自适应预测模型包括标准预测模型，例如神经网络或自然模型，其被构造为产生预测过程参数的输出和将预测模型的输出与一个或多个测量值相结合的组合器网络过程参数以在过程的操作期间产生经调整的预测过程参数。自适应预测模型减少或校正过程变量的预测中的非线性和线性误差，而不必改变预测模型本身，同时仅需要稍微增加处理能力和时间。

7. 发明授权

US08509926B2 Self-diagnostic process control loop for a process plant 有权
标题翻译：过程工厂的自诊断过程控制回路
公开(公告)号：US08509926B2
公开(公告)日：2013-08-13
申请号：US11565767
申请日：2006-12-01
申请人： Terrence L. Blevins , Wilhelm K. Wojsznis , Gregory K. McMillan , Peter Wojsznis
发明人： Terrence L. Blevins , Wilhelm K. Wojsznis , Gregory K. McMillan , Peter Wojsznis
IPC分类号： G05B11/01 , G05B13/02 , G05B19/42 , G06F11/30 , G06F11/00 , G21C17/00
CPC分类号： G05B23/0251
摘要： 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.
摘要翻译：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。

8. 发明授权

US06847954B1 Control-loop auto-tuner with nonlinear tuning rules estimators 有权
标题翻译：具有非线性调谐规则估计器的Controlloop自动调谐器
公开(公告)号：US06847954B1
公开(公告)日：2005-01-25
申请号：US09644399
申请日：2000-08-23
申请人： Wilhelm K. Wojsznis , Terrence L. Blevins , Dirk Thiele
发明人： Wilhelm K. Wojsznis , Terrence L. Blevins , Dirk Thiele
IPC分类号： G05B13/02 , G05G7/00 , G05E1/00 , G05E3/00 , G05F15/18
CPC分类号： G05B13/0285
摘要： A system for tuning a process control loop includes a tuner module for receiving an error signal representative of the difference between a set point and a process variable, the module generating a first process control signal for controlling the process. The system further includes a controller module for receiving the error signal and a parameter signal from a nonlinear module to generate a second process control signal for controlling the process, wherein the nonlinear module applies a nonlinear procedure to generate the parameter signal. The system further includes a switching means coupled to the tuner module and the controller module to select the appropriate process control signal for controlling the process. The system provided uses nonlinear techniques in the nonlinear module to approximate the desired controller tuning parameters. The nonlinear techniques include neural network tuning, fuzzy logic tuning and nonlinear functions, including sigmoid tuning. A system also provides that the nonlinear module use nonlinear techniques to approximate the desired process model parameters. According to an embodiment of the present invention, the nonlinear module includes a process model identification module and a controller tuning module that provides controller parameters and model identification parameters using neural networks, fuzzy logic and nonlinear functions, including sigmoid tuning.
摘要翻译：用于调整过程控制回路的系统包括调谐器模块，用于接收表示设定点和过程变量之间的差异的误差信号，该模块产生用于控制过程的第一过程控制信号。该系统还包括控制器模块，用于从非线性模块接收误差信号和参数信号，以生成用于控制过程的第二过程控制信号，其中非线性模块应用非线性过程来产生参数信号。该系统还包括耦合到调谐器模块和控制器模块的切换装置，以选择用于控制该过程的适当的过程控制信号。所提供的系统在非线性模块中使用非线性技术来近似所需的控制器调谐参数。非线性技术包括神经网络调谐，模糊逻辑调谐和非线性函数，包括S形调谐。系统还提供非线性模块使用非线性技术近似所需的过程模型参数。根据本发明的实施例，非线性模块包括过程模型识别模块和控制器调谐模块，其使用神经网络，模糊逻辑和非线性函数提供控制器参数和模型识别参数，包括S形调谐。

9. 发明授权

US08706267B2 Process model identification in a process control system 有权
标题翻译：过程控制系统中的过程模型识别
公开(公告)号：US08706267B2
公开(公告)日：2014-04-22
申请号：US12260073
申请日：2008-10-28
申请人： John M. Caldwell , Terrence L. Blevins , Peter Wojsznis , Wilhelm K. Wojsznis
发明人： John M. Caldwell , Terrence L. Blevins , Peter Wojsznis , Wilhelm K. Wojsznis
IPC分类号： G05B13/02
CPC分类号： G05B13/04 , G05B13/048 , G05B23/0254 , G05B23/0272
摘要： A method of controlling a process control system having a plurality of control loops includes collecting operating condition data in connection with the operation of each control loop of the plurality of control loops, identifying a respective process model for each control loop of the plurality of control loops from the respective operating condition data collected for each control loop of the plurality of control loops and developing a process model history by storing data indicative of the multiple identified process models for each control loop of the plurality of control loops.
摘要翻译：控制具有多个控制回路的过程控制系统的方法包括：结合多个控制回路的每个控制回路的操作来收集操作条件数据，识别多个控制回路中每个控制回路的相应过程模型从针对多个控制回路的每个控制循环收集的相应操作条件数据，并通过存储指示多个控制回路中的每个控制回路的多个确定的过程模型的数据来开发过程模型历史。

10. 发明申请

US20090062932A1 Process Model Identification in a Process Control System 有权
标题翻译：过程控制系统中的过程模型识别
公开(公告)号：US20090062932A1
公开(公告)日：2009-03-05
申请号：US12260073
申请日：2008-10-28
申请人： John Caldwell , Terrence L. Blevins , Peter Wojsznis , Wilhelm K. Wojsznis
发明人： John Caldwell , Terrence L. Blevins , Peter Wojsznis , Wilhelm K. Wojsznis
IPC分类号： G05B17/00 , G06F15/16 , G06F17/30 , G06F15/00 , G06F7/06
CPC分类号： G05B13/04 , G05B13/048 , G05B23/0254 , G05B23/0272
摘要： Disclosed is a method of controlling and managing a process control system having a plurality of control loops. The method includes implementing a plurality of control routines to control operation of the plurality of control loops, respectively. The plurality of control routines may include at least one non-adaptive control routine. Operating condition data is then collected in connection with the operation of each control loop of the plurality of control loops, and a respective process model is identified for each control loop of the plurality of control loops from the respective operating condition data collected for each control loop of the plurality of control loops. In some embodiments, the identification of the respective process models may be automatic as a result of a detected process change or be on-demand as a result of an injected parameter change.
摘要翻译：公开了一种控制和管理具有多个控制回路的过程控制系统的方法。该方法包括实现多个控制例程以分别控制多个控制回路的操作。多个控制程序可以包括至少一个非自适应控制程序。然后结合多个控制回路的每个控制回路的操作来收集操作条件数据，并且从针对每个控制回路收集的各个操作条件数据中识别出多个控制回路中的每个控制回路的相应过程模型的多个控制回路。在一些实施例中，作为检测到的过程改变的结果，可以自动地识别各个过程模型，或者作为注入的参数改变的结果而是按需。

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