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公开(公告)号：US06950711B2
公开(公告)日：2005-09-27
申请号：US10082783
申请日：2002-02-25
CPC分类号： G05B17/02 , G05B13/048
摘要： An on-line optimizer is provided wherein a boiler (720) is optimized by measuring a select plurality of inputs to the boiler (720) and mapping them through a predetermined relationship that defines a single value representing a spacial relationship in the boiler that is a function of the select inputs. This single value is then optimized with the use of a plant optimizer (818) which provides an optimized value. This optimized value is then processed thought the inverse relationship of the single modified value to provide modified inputs to the plant that can be applied to the plant.
摘要翻译： 提供一种在线优化器，其中锅炉（720）通过测量到锅炉（720）的选择多个输入而被优化，并通过预定关系映射锅炉（720），所述预定关系定义了代表锅炉中的空间关系的单一值 功能选择输入。 然后使用提供优化值的工厂优化器（818）来优化该单一值。 然后，将该优化值进行处理，认为单个修改值的反比关系为工厂提供可应用于工厂的修改输入。
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公开(公告)号：US06381504B1
公开(公告)日：2002-04-30
申请号：US09224648
申请日：1998-12-31
IPC分类号： G05B1302
CPC分类号： G05B17/02 , G05B13/048
摘要： An on-line optimizer is provided wherein a boiler (720) is optimized by measuring a select plurality of inputs to the boiler (720) and mapping them through a predetermined relationship that defines a single value representing a spacial relationship in the boiler that is a function of the select inputs. This single value is then optimized with the use of a plant optimizer (818) which provides an optimized value. This optimized value is then processed thought the inverse relationship of the single modified value to provide modified inputs to the plant that can be applied to the plant.
摘要翻译： 提供一种在线优化器，其中锅炉（720）通过测量到锅炉（720）的选择多个输入而被优化，并通过预定关系映射锅炉（720），所述预定关系定义了代表锅炉中的空间关系的单一值 功能选择输入。 然后使用提供优化值的工厂优化器（818）来优化该单一值。 然后，将该优化值进行处理，认为单个修改值的反比关系为工厂提供可应用于工厂的修改输入。
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公开(公告)号：US06278899B1
公开(公告)日：2001-08-21
申请号：US09167504
申请日：1998-10-06
申请人： Stephen Piche , John P. Havener , Donald Semrad
发明人： Stephen Piche , John P. Havener , Donald Semrad
IPC分类号： G05B1302
CPC分类号： G05B17/02 , G05B13/048
摘要： An on-line optimizer is comprised of a nonlinear dynamic model (702) which is operable to provide an estimation of the output of a plant. This receives manipulated variables (MV), disturbance variables (DV), and computed disturbance variables (CDB). The estimated output of the model is then compared to the actual output measured by virtual on-line analyzer (VOA) (616). This is compared is a difference block 618 to generate a bias which is then filtered by a filter(620). The output thereof is then provided to an output block (672) in a steady state optimizer (700) to offset the desired setpoints. These set points are input to a steady state nonlinear model which is operable to optimize the inputs to the plants for use for writing new set points in accordance with a predetermined cost function. This cost function is utilized to optimize the new inputs with the use of the steady state model in accordance with various constraints and target values.
摘要翻译： 在线优化器由非线性动力学模型（702）组成，其可操作以提供对植物的输出的估计。 这接收到操纵变量（MV），干扰变量（DV）和计算的干扰变量（CDB）。 然后将模型的估计输出与虚拟在线分析仪（VOA）测量的实际输出进行比较（616）。 比较差异块618以产生偏差，然后由滤波器（620）滤波。 然后，其输出被提供给稳态优化器（700）中的输出块（672）以偏移所需的设定点。 这些设定点被输入到稳态非线性模型，该稳态非线性模型可操作以根据预定的成本函数优化输入到工厂用于写入新的设定点。 该成本函数用于根据各种约束和目标值利用稳态模型来优化新的输入。
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公开(公告)号：US06493596B1
公开(公告)日：2002-12-10
申请号：US09514733
申请日：2000-02-28
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keller , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keller , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B1302
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k.
摘要翻译： 一种用于控制非线性磨机的方法和装置。 提供具有线性增益k的线性控制器，其可操作以接收表示工厂的测量变量的输入，并且对线性控制器的输出预测用于控制工厂的操纵性变量的预测控制值。 提供工厂的非线性模型，用于在工作输入空间的经过训练的区域上存储工厂的表示，并具有与其相关联的稳态增益K. 线性模型的增益k根据预定的关系用非线性模型的增益K进行调整，因为测量的变量改变了线性控制器预测操作变量的值的输入空间的操作区域 。 然后在调整增益k的步骤之后输出预测的操纵变量。
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公开(公告)号：US07110834B2
公开(公告)日：2006-09-19
申请号：US10669028
申请日：2003-09-23
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener , Steven J. McGarel
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener , Steven J. McGarel
IPC分类号： G05B13/02
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A kiln thermal and combustion control. A predictive model is provided of the dynamics of selected aspects of the operation of the system for modeling the dynamics thereof. The model has at least two discrete models associated therewith that model at least two of the selected aspects, the at least two discrete models having different dynamic responses. An optimizer receives desired values for the selected aspects of the operation of the system modeled by the model and optimizes the inputs to the model to minimize error between the predicted and desired values. A control input device then applies the optimized input values to the system after optimization thereof.
摘要翻译： 窑炉和燃烧控制。 提供了用于对其动力学进行建模的系统的操作的选定方面的动态的预测模型。 所述模型具有至少两个与之相关的离散模型，所述至少两个所选择的方面模型，所述至少两个离散模型具有不同的动态响应。 优化器接收由模型建模的系统的操作的所选方面的期望值，并优化对模型的输入以最小化预测值和期望值之间的误差。 然后，控制输入装置优化后对系统施加优化的输入值。
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6.发明授权Method and apparatus for modeling dynamic and steady-state processes for prediction, control and optimization 有权用于预测，控制和优化的动态和稳态过程建模的方法和装置公开(公告)号：US06738677B2
公开(公告)日：2004-05-18
申请号：US10302923
申请日：2002-11-22
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B1302
CPC分类号： G05B17/02 , G05B13/048
摘要： A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.
摘要翻译： 在预测，控制和优化环境中提供独立的静态和动态模型的方法使用独立的静态模型（20）和独立的动态模型（22）。 静态模型（20）是一种严格的预测模型，可在广泛的数据范围内进行训练，而动态模型（22）则是在窄范围的数据上进行训练。 使用静态模型（20）的增益K来缩放动态模型（22）的增益k。 被称为双变量的模型（22）的强制动态部分通过增益K和k的比率来缩放。 bi对动态模型的获得有直接的影响（22）。 这通过系数修改块（40）来促进。 此后，将输入到静态模型（20）的新值与先前稳态值之间的差用作动态模型（22）的输入。 然后将预测的动态输出与先前的稳态值相加以提供预测值Y.此外，在稳态值变化之间经过的路径。
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7.发明授权Method and apparatus for dynamic and steady state modeling over a desired path between two end points 失效用于在两个端点之间的期望路径上进行动态和稳态建模的方法和装置
公开(公告)号：US5933345A
公开(公告)日：1999-08-03
申请号：US643464
申请日：1996-05-06
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
CPC分类号： G05B17/02 , G05B13/048
摘要： A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model and an independent dynamic model. The static model is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model is trained over a narrow range of data. The gain K of the static model is utilized to scale the gain k of the dynamic model. The forced dynamic portion of the model referred to as the b.sub.i variables are scaled by the ratio of the gains K and k. The b.sub.i have a direct effect on the gain of a dynamic model. This is facilitated by a coefficient modification block. Thereafter, the difference between the new value input to the static model and the prior steady-state value is utilized as an input to the dynamic model. The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.
摘要翻译： 在预测，控制和优化环境中提供独立静态和动态模型的方法利用独立的静态模型和独立的动态模型。 静态模型是一种严格的预测模型，可以在广泛的数据范围内进行训练，而动态模型则是通过窄范围的数据进行训练。 利用静态模型的增益K来缩放动态模型的增益k。 被称为bi变量的模型的强制动态部分通过增益K和k的比率来缩放。 bi对动态模型的增益有直接的影响。 这通过系数修改块来促进。 此后，将输入到静态模型的新值与先前的稳态值之间的差用作动态模型的输入。 然后将预测的动态输出与先前的稳态值相加以提供预测值Y.此外，在稳态值变化之间经过的路径。
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公开(公告)号：US07050866B2
公开(公告)日：2006-05-23
申请号：US10847211
申请日：2004-05-17
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B13/02
CPC分类号： G05B17/02 , G05B13/048
摘要： A method for providing independent static and dynamic models in a prediction, control and optimization environment utilizes an independent static model (20) and an independent dynamic model (22). The static model (20) is a rigorous predictive model that is trained over a wide range of data, whereas the dynamic model (22) is trained over a narrow range of data. The gain K of the static model (20) is utilized to scale the gain k of the dynamic model (22). The forced dynamic portion of the model (22) referred to as the bi variables are scaled by the ratio of the gains K and k. The bi have a direct effect on the gain of a dynamic model (22). This is facilitated by a coefficient modification block (40). Thereafter, the difference between the new value input to the static model (20) and the prior steady-state value is utilized as an input to the dynamic model (22). The predicted dynamic output is then summed with the previous steady-state value to provide a predicted value Y. Additionally, the path that is traversed between steady-state value changes.
摘要翻译： 在预测，控制和优化环境中提供独立的静态和动态模型的方法使用独立的静态模型（20）和独立的动态模型（22）。 静态模型（20）是一种严格的预测模型，可在广泛的数据范围内进行训练，而动态模型（22）则是在窄范围的数据上进行训练。 使用静态模型（20）的增益K来缩放动态模型（22）的增益k。 被称为变量的模型（22）的强制动态部分通过增益K和k的比率来缩放。 b）对动态模型（22）的增益有直接的影响。 这通过系数修改块（40）来促进。 此后，将输入到静态模型（20）的新值与先前稳态值之间的差用作动态模型（22）的输入。 然后将预测的动态输出与先前的稳态值相加以提供预测值Y.此外，在稳态值变化之间经过的路径。
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公开(公告)号：US07047089B2
公开(公告)日：2006-05-16
申请号：US10843160
申请日：2004-05-11
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B13/02
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k.
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公开(公告)号：US06735483B2
公开(公告)日：2004-05-11
申请号：US10314675
申请日：2002-12-09
申请人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
发明人： Gregory D. Martin , Eugene Boe , Stephen Piche , James David Keeler , Douglas Timmer , Mark Gerules , John P. Havener
IPC分类号： G05B1302
CPC分类号： G05B13/048 , G05B13/042 , G05B17/02
摘要： A method and apparatus for controlling a non-linear mill. A linear controller is provided having a linear gain k that is operable to receive inputs representing measured variables of the plant and predict on an output of the linear controller predicted control values for manipulatible variables that control the plant. A non-linear model of the plant is provided for storing a representation of the plant over a trained region of the operating input space and having a steady-state gain K associated therewith. The gain k of the linear model is adjusted with the gain K of the non-linear model in accordance with a predetermined relationship as the measured variables change the operating region of the input space at which the linear controller is predicting the values for the manipulatible variables. The predicted manipulatible variables are then output after the step of adjusting the gain k
摘要翻译： 一种用于控制非线性磨机的方法和装置。 提供具有线性增益k的线性控制器，其可操作以接收表示工厂的测量变量的输入，并且对线性控制器的输出预测用于控制工厂的操纵性变量的预测控制值。 提供工厂的非线性模型，用于在工作输入空间的经过训练的区域上存储工厂的表示，并具有与其相关联的稳态增益K. 线性模型的增益k根据预定的关系用非线性模型的增益K进行调整，因为测量的变量改变了线性控制器预测操作变量的值的输入空间的操作区域 。 然后在调整增益k的步骤之后输出预测的操纵变量
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