Systems and methods using bridge models to globally optimize a process
facility
    1.
    发明授权
    Systems and methods using bridge models to globally optimize a process facility 失效
    使用桥梁模型的系统和方法来全局优化流程设施

    公开(公告)号:US6055483A

    公开(公告)日:2000-04-25

    申请号:US851590

    申请日:1997-05-05

    申请人: Zhuxin J. Lu

    发明人: Zhuxin J. Lu

    IPC分类号: G05B13/04 G05B17/00

    CPC分类号: G05B13/048

    摘要: A control system and a method of operating the same are introduced that globally optimize associated processes within a process facility. The control system includes a global controller, a bridge predictor and many local controllers. The global controller monitors characteristics of the associated processes and generates, in response thereto, control data for optimizing the process facility. The bridge predictor modifies at least a portion of the control data in response to relationships among the associated processes. The local controllers monitor the associated processes and operate in accordance with the control data to varying degrees to control the monitored associated processes, thereby cooperating with the global controller to optimize the process facility.

    摘要翻译: 引入了一种控制系统及其操作方法,其全局优化处理设备内的相关过程。 控制系统包括全局控制器,桥接预测器和许多本地控制器。 全局控制器监视相关进程的特性,并响应于此产生用于优化处理设施的控制数据。 桥梁预测器响应于相关联的进程之间的关系修改控制数据的至少一部分。 本地控制器监控相关过程并根据控制数据以不同程度进行操作,以控制监控的关联过程,从而与全局控制器配合以优化过程设备。

    Method of multivariable predictive control utilizing range control
    2.
    发明授权
    Method of multivariable predictive control utilizing range control 失效
    使用范围控制的多变量预测控制方法

    公开(公告)号:US5351184A

    公开(公告)日:1994-09-27

    申请号:US9491

    申请日:1993-01-26

    CPC分类号: C10G11/187 G05B13/048

    摘要: A process control system which includes at least one manipulated variable and at least one controlled variable, provides a method for robust control of a process. Predetermined constraints of the manipulated variables and the controlled variables, and the present values of the manipulated variables are obtained. New values are calculated for the controlled variables for a predetermined number of points in the future, such that the values of the controlled variables are within the predetermined range thereby obtaining an optimal robustness of the resultant controller. The manipulated variables are also calculated to be within predetermined constraints, and the controlled variables to fall within a predetermined range when controllable. From a plurality of solutions, a most robust solution is selected. Then the manipulated variables are adjusted to cause the process control system to drive the values of the controlled variables to the calculated values.

    摘要翻译: 包括至少一个操纵变量和至少一个受控变量的过程控制系统提供了用于对过程的鲁棒控制的方法。 获得操纵变量和受控变量的预定约束,以及操纵变量的当前值。 对于将来预定数量的点的受控变量计算新值,使得受控变量的值在预定范围内,从而获得所得到的控制器的最优鲁棒性。 操纵变量也被计算在预定的约束范围内,并且受控变量在可控时落在预定范围内。 从多个解决方案中,选择最强大的解决方案。 然后调整操作变量,使过程控制系统将控制变量的值驱动到计算值。

    System and methods for globally optimizing a process facility
    3.
    发明授权
    System and methods for globally optimizing a process facility 失效
    用于全球优化流程设施的系统和方法

    公开(公告)号:US06122555A

    公开(公告)日:2000-09-19

    申请号:US850288

    申请日:1997-05-05

    申请人: Zhuxin J. Lu

    发明人: Zhuxin J. Lu

    IPC分类号: G05B13/04 G05B15/02

    CPC分类号: G05B13/048

    摘要: A control system and a method of operating the same are introduced that globally optimize associated processes within a process facility. The control system includes a global controller and many local controllers. The global controller monitors characteristics of the associated processes and generates, in response thereto, control data for optimizing the process facility. The local controllers monitor the associated processes and operate in accordance with the control data to varying degrees to control the monitored associated processes, thereby cooperating with the global controller to optimize the process facility.

    摘要翻译: 引入了一种控制系统及其操作方法,其全局优化处理设备内的相关过程。 控制系统包括全局控制器和许多本地控制器。 全局控制器监视相关进程的特性,并响应于此产生用于优化处理设施的控制数据。 本地控制器监控相关过程并根据控制数据以不同程度进行操作,以控制监控的关联过程,从而与全局控制器配合以优化过程设备。

    Method of optimal scaling of variables in a multivariable predictive
controller utilizing range control
    4.
    发明授权
    Method of optimal scaling of variables in a multivariable predictive controller utilizing range control 失效
    使用范围控制的多变量预测控制器中变量的最优化方法

    公开(公告)号:US5574638A

    公开(公告)日:1996-11-12

    申请号:US415882

    申请日:1995-04-03

    申请人: Zhuxin J. Lu

    发明人: Zhuxin J. Lu

    IPC分类号: G05B13/02 G05B13/04

    CPC分类号: G05B13/048

    摘要: A process control system which includes at least one manipulated variable and at least one controlled variable, provides a method for robust control of a process. Predetermined constraints of the manipulated variables and the controlled variables, and the present values of the manipulated variables are obtained. A set of scale factors for the manipulated variables and the process variables are calculated. The controller is initialized with the set of scale factors, the scale factors determining the relative importance of the manipulated variables and the process variables to the process. New values are calculated for the controlled variables for a predetermined number of points in the future, such that the values of the controlled variables are within the predetermined range thereby obtaining an optimal robustness of the resultant controller. The manipulated variables are also calculated to be within predetermined constraints, and the controlled variables to fall within a predetermined range when controllable. From a plurality of solutions, a most robust solution is selected. Then the manipulated variables are adjusted to cause the process control system to drive the values of the controlled variables to the calculated values.

    摘要翻译: 包括至少一个操纵变量和至少一个受控变量的过程控制系统提供了用于对过程的鲁棒控制的方法。 获得操纵变量和受控变量的预定约束,以及操纵变量的当前值。 计算一组操纵变量和过程变量的比例因子。 控制器使用一组比例因子进行初始化,比例因子决定了操纵变量和过程变量对过程的相对重要性。 对于将来预定数量的点的受控变量计算新值,使得受控变量的值在预定范围内,从而获得所得到的控制器的最优鲁棒性。 操纵变量也被计算在预定的约束范围内,并且受控变量在可控时落在预定范围内。 从多个解决方案中,选择最强大的解决方案。 然后调整操作变量,使过程控制系统将控制变量的值驱动到计算值。

    Method of optimal controller design for multivariable predictive control
utilizing range control
    5.
    发明授权
    Method of optimal controller design for multivariable predictive control utilizing range control 失效
    使用范围控制的多变量预测控制的最优控制器设计方法

    公开(公告)号:US5572420A

    公开(公告)日:1996-11-05

    申请号:US415881

    申请日:1995-04-03

    申请人: Zhuxin J. Lu

    发明人: Zhuxin J. Lu

    IPC分类号: G05B13/02 G05B13/04

    CPC分类号: G05B13/048

    摘要: A process control system which includes at least one manipulated variable and at least one controlled variable, provides a method for robust control of a process. Predetermined constraints of the manipulated variables and the controlled variables, and the present values of the manipulated variables are obtained. The controller is loaded with parameters which define an optimal controller, the parameters being calculated off-line. To determine the parameters a single min-max statement is defined for a worst case model of the process which operates in conjunction with a best case controller. The single min-max statement is converted to a corresponding canonical expression in the form of a minimization problem, the resultant solution of the minimization problem being the parameter. New values are calculated for the controlled variables for a predetermined number of points in the future, such that the values of the controlled variables are within the predetermined range thereby obtaining an optimal robustness of the resultant controller. The manipulated variables are also calculated to be within predetermined constraints, and the controlled variables to fall within a predetermined range when controllable. From a plurality of solutions, a most robust solution is selected. Then the manipulated variables are adjusted to cause the process control system to drive the values of the controlled variables to the calculated values.

    摘要翻译: 包括至少一个操纵变量和至少一个受控变量的过程控制系统提供了用于对过程的鲁棒控制的方法。 获得操纵变量和受控变量的预定约束,以及操纵变量的当前值。 控制器加载了定义最佳控制器的参数,离线计算参数。 为了确定参数,对于与最佳情况控制器一起运行的过程的最坏情况模型,定义了一个最小 - 最大值语句。 单个min-max语句以最小化问题的形式转换为相应的规范表达式,最小化问题的最终解决方案是参数。 对于将来预定数量的点的受控变量计算新值,使得受控变量的值在预定范围内,从而获得所得到的控制器的最优鲁棒性。 操纵变量也被计算在预定的约束范围内,并且受控变量在可控时落在预定范围内。 从多个解决方案中,选择最强大的解决方案。 然后调整操作变量,使过程控制系统将控制变量的值驱动到计算值。