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    • 1. 发明申请
    • Universal model predictive controller
    • 通用型预测控制器
    • US20090287319A1
    • 2009-11-19
    • US12383485
    • 2009-03-25
    • Fakhruddin T. Attarwala
    • Fakhruddin T. Attarwala
    • G05B13/02
    • G05B13/048
    • A method for building robust model predictive controller universally applicable is presented based on the innate process characteristics independent of the method of control actuation. The method of universal MPC design permits proper configuration of requisite regulatory control loops for measured and unmeasured disturbance rejections consistent with the underlying innate process characteristics and their embedding within the overall process unit model predictive controller. The method of universal MPC design requires that manipulated variables process value based model (PV-based models) be used in control and optimization in place of the customary set point based models (SP-based models) or control output based models (OP-based models). The PV-based models are devoid of the manipulated variables regulatory controllers response and tuning. Based on the PV-based models, an alternate method of MPC called PV-based MPC is presented that is most robust and adaptable of possible three types of MPC. Based on the universal MPC design, the prior art MPC can be adapted to improve its robustness at or near control valve saturation.
    • 基于独立于控制驱动方法的固有过程特性,提出了建立鲁棒模型预测控制器普遍适用的方法。 通用MPC设计的方法允许正确配置必要的监管控制环路,用于与基础固有过程特性一致的测量和未测量的干扰抑制,以及它们嵌入在整个过程单元模型预测控制器中。 通用MPC设计的方法要求在控制和优化中使用操作变量过程值模型(PV),以代替基于常规设定点的模型(基于SP的模型)或基于控制输出的模型(基于OP的模型) 楷模)。 基于PV的模型没有调节控制器响应和调整的操纵变量。 基于光伏模型,提出了一种称为基于PV的MPC的MPC的替代方法,它是最强大的并且适用于可能的三种类型的MPC。 基于通用MPC设计,现有技术的MPC可以适应于在控制阀饱和处于或接近控制阀饱和时提高其鲁棒性。
    • 2. 发明申请
    • Embedded dynamic alarm control system
    • 嵌入式动态报警控制系统
    • US20100241247A1
    • 2010-09-23
    • US12383343
    • 2009-03-23
    • Fakhruddin T. Attarwala
    • Fakhruddin T. Attarwala
    • G05B13/04G05B13/02G05B9/02
    • G05B19/4063G05B2219/34477G05B2219/42162G05B2219/49181G05B2219/50179
    • A system and method for performing modeling, prediction, optimization and control, which would permit what is, described herein as embedded alarm control. In the proposed method of embedding alarm control, the alarm limits are used to constrain the controlled variables dynamically such that the controller actions are affected to minimize and prevent alarm limit violations in addition to the constraints commonly included. It is proposed in the present invention that the alarm limits be incorporated as part of optimization and constrained control action calculation in a model predictive control. As an exemplary case, this method of incorporation of alarm limits within optimization and control is described and the results obtained from it are presented.The embedding of alarm control within optimization and control would not only directly minimize number of alarms from becoming active from improved control but also provide additional capabilities whereby selectively alarms limits violations can be tuned to reduce the number of alarms without compromising on either product quality control or safety violations.
    • 一种用于执行建模,预测,优化和控制的系统和方法,其将允许在此描述为嵌入式报警控制。 在提出的嵌入式报警控制方法中,采用报警限制动态约束受控变量,使得控制器动作受到影响,除了通常包含的约束外,还能最大限度地防止报警限制违规。 在本发明中提出,在模型预测控制中将报警极限作为优化和约束控制动作计算的一部分并入。 作为示例性的情况,描述了在优化和控制中引入报警极限的这种方法,并且从中获得了结果。 报警控制在优化和控制中的嵌入不仅可以直接使报警从改进的控制中变得活跃起来,还可以提供附加功能,从而可以调整选择性报警限制违规,以减少报警次数,而不会影响产品质量控制或 安全违规。
    • 3. 发明申请
    • Dynamic model predictive control
    • 动态模型预测控制
    • US20080140227A1
    • 2008-06-12
    • US11999056
    • 2007-12-04
    • Fakhruddin T. Attarwala
    • Fakhruddin T. Attarwala
    • G05B13/04
    • G05B13/048
    • A method of dynamic model predictive control is presented in which both steady state optimization and dynamic moves calculation of the manipulated variables are determined together as part of one optimization solution (211). The method combines steady state optimization and dynamic move calculation such that the steady state optimal targets are determined consistent with the dynamic moves and the resulting dynamic response of the process so that the controlled variables do not violate their low/high limits in both steady state and dynamically. The method utilizes what is described as high limit dynamic violation variables and low limit dynamic violation variables corresponding to each of the controlled variables. The method offers a unique capability of mixing a part dynamic optimization with a part steady state optimization as it relates to application of a large model predictive control under varying situations, in particular at or near constraints violations that can be done dynamically in real time for improved and robust control performance without having to change the controller tuning.
    • 提出了一种动态模型预测控制方法,其中稳定状态优化和操作变量的动态移动计算一起被确定为一个优化解的一部分(211)。 该方法结合了稳态优化和动态移动计算,使得稳态最优目标被确定为与过程的动态移动和结果的动态响应一致,使得受​​控变量在稳态和稳态均不违反其低/高极限 动态地 该方法利用所描述的上限动态违规变量和对应于每个受控变量的下限动态违规变量。 该方法提供了将部分动态优化与部分稳态优化相混合的独特能力,因为它涉及在不同情况下应用大型模型预测控制,特别是在或可能实时动态实现的约束违规处理或接近改进 和鲁棒的控制性能,而无需更改控制器调谐。