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    • 2. 发明申请
    • Non-Intrusive Data Analytics in a Process Control System
    • 过程控制系统中的非侵入性数据分析
    • US20150005903A1
    • 2015-01-01
    • US13931341
    • 2013-06-28
    • Christopher J. WorekTerrence L. BlevinsRobert B. HavekostDirk Thiele
    • Christopher J. WorekTerrence L. BlevinsRobert B. HavekostDirk Thiele
    • G05B13/04
    • G05B19/41885G05B2219/31357G05B2219/31472Y02P90/14Y02P90/22Y02P90/26
    • An on-line data analytics device can be installed in a process control system as a standalone device that operates in parallel with, but non-intrusively with respect to, the on-line control system to perform on-line analytics for a process without requiring the process control system to be reconfigured or recertified. The data analytics device includes a data analytics engine coupled to a logic engine that receives process data collected from the process control system in a non-intrusive manner. The logic engine operates to determine further process variable values not generated within the process control system and provides the collected process variable data and the further process variable values to the data analytics engine. The data analytics engine executes statistically based process models, such as batch models, stage models, and phase models, to produce a predicted process variable, such as an end of stage or end of batch quality variable for use in analyzing the operation of the on-line process.
    • 在线数据分析设备可以作为独立设备安装在过程控制系统中,该设备与在线控制系统并行运行,但是非侵入式地在线控制系统上进行流程的在线分析,而不需要 要重新配置或重新认证的过程控制系统。 数据分析设备包括耦合到逻辑引擎的数据分析引擎,其以非侵入方式接收从过程控制系统收集的过程数据。 逻辑引擎操作以确定在过程控制系统内未生成的另外的过程变量值,并将收集的过程变量数据和进一步的过程变量值提供给数据分析引擎。 数据分析引擎执行基于统计的过程模型,例如批量模型,阶段模型和阶段模型,以产生预测的过程变量,例如用于分析操作的批次质量变量的阶段或结束的结束 线程过程
    • 3. 发明授权
    • Control-loop auto-tuner with nonlinear tuning rules estimators
    • 具有非线性调谐规则估计器的Controlloop自动调谐器
    • US06847954B1
    • 2005-01-25
    • US09644399
    • 2000-08-23
    • Wilhelm K. WojsznisTerrence L. BlevinsDirk Thiele
    • Wilhelm K. WojsznisTerrence L. BlevinsDirk Thiele
    • G05B13/02G05G7/00G05E1/00G05E3/00G05F15/18
    • G05B13/0285
    • 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.
    • 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。
    • 6. 发明授权
    • Integrated advanced control blocks in process control systems
    • 过程控制系统中集成的先进控制块
    • US06445963B1
    • 2002-09-03
    • US09412078
    • 1999-10-04
    • Terrence L. BlevinsWilhelm K. WojsznisVasiliki TzovlaDirk Thiele
    • Terrence L. BlevinsWilhelm K. WojsznisVasiliki TzovlaDirk Thiele
    • G05B1302
    • G05B13/0285G05B11/32G05B13/048Y10S706/92
    • 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.
    • 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。
    • 9. 发明授权
    • Methods, apparatus and articles of manufacture to test process control systems
    • 测试过程控制系统的方法,设备和制造
    • US08442663B2
    • 2013-05-14
    • US12861515
    • 2010-08-23
    • Tom AneweerDirk ThieleNoel Bell
    • Tom AneweerDirk ThieleNoel Bell
    • G06F19/00
    • G05B23/0237
    • Example methods, apparatus and articles of manufacture to test process control systems are disclosed. A disclosed example method includes obtaining user inputs to a first process control system, obtaining process inputs and first process outputs of the first process control system, providing the user inputs and the process inputs to a second process control system to operate the second process control system, obtaining second process outputs of the second process control system operated with the user inputs and the process inputs, and comparing the first and second process outputs to determine whether the second process control system is implemented as intended.
    • 公开了用于测试过程控制系统的示例性方法,设备和制品。 所公开的示例性方法包括获得第一过程控制系统的用户输入,获得第一过程控制系统的过程输入和第一处理输出,向第二过程控制系统提供用户输入和过程输入以操作第二过程控制系统 获得用用户输入和过程输入操作的第二过程控制系统的第二过程输出,以及比较第一和第二过程输出,以确定第二过程控制系统是否按预期实现。
    • 10. 发明申请
    • MODEL PREDICTIVE CONTROLLER WITH TUNABLE INTEGRAL COMPONENT TO COMPENSATE FOR MODEL MISMATCH
    • 具有可变整数组件的模型预测控制器补偿模型误差
    • US20100204808A1
    • 2010-08-12
    • US12698991
    • 2010-02-02
    • Dirk Thiele
    • Dirk Thiele
    • G05B13/04
    • G05B17/02
    • An MPC controller technique integrates feedback control performance better than methods commonly used today in MPC type controllers, resulting in an MPC controller that performs better than traditional MPC techniques in the presence of process model mismatch. In particular, MPC controller performance is enhanced by adding a tunable integration block to the MPC controller that develops an integral component indicative of the prediction or other control error, and adds this component to the output of an MPC controller algorithm to provide for faster or better control in the presence of model mismatch, which is the ultimate reason for the prediction error in the first place. This technique enables the MPC controller to react more quickly and to provide better set point change and load disturbance performance in the presence of model mismatch, without decreasing the robustness of the MPC controller.
    • MPC控制器技术将反馈控制性能优于MPC型控制器当今通常使用的方法,从而在存在过程模型不匹配的情况下,MPC控制器的性能优于传统MPC技术。 特别地,MPC控制器性能通过向MPC控制器添加可调整积分块来增强,该MPC控制器开发指示预测或其他控制误差的积分分量,并将该组件添加到MPC控制器算法的输出以提供更快或更好的 在存在模型不匹配的情况下进行控制,这是预测误差的最终原因。 这种技术使得MPC控制器能够更快地作出反应,并在存在模型不匹配的情况下提供更好的设定点变化和负载干扰性能,而不会降低MPC控制器的鲁棒性。