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1. 发明申请

US20120003623A1 NONLINEAR MODEL PREDICTIVE CONTROL OF A BATCH REACTION SYSTEM 有权
标题翻译：批量反应系统的非线性模型预测控制
公开(公告)号：US20120003623A1
公开(公告)日：2012-01-05
申请号：US12827876
申请日：2010-06-30
申请人： James Bartee , Maina A. Macharia , Patrick D. Noll , Bijan Sayyar-Rodsari , Michael E. Tay
发明人： James Bartee , Maina A. Macharia , Patrick D. Noll , Bijan Sayyar-Rodsari , Michael E. Tay
IPC分类号： G05B21/00 , C12M1/36
CPC分类号： G05B17/02 , C12M21/12 , C12M43/02
摘要： The present invention provides novel techniques for controlling batch reaction processes. In particular, a parametric hybrid model may be used to parameterize inputs and outputs of batch reaction processes. The parametric hybrid model may include an empirical model, a parameter model, and a dynamic model. Critical quality parameters, which are correlated with, but not the same as, end-of-batch quality values for the batch reaction processes may be monitored during cycles of the batch reaction processes. The quality parameters may be used to generate desired batch trajectories, which may be used to control the batch reaction processes during the cycles of the batch reaction processes.
摘要翻译：本发明提供了控制间歇反应过程的新技术。特别地，可以使用参数化混合模型来参数化分批反应过程的输入和输出。参数混合模型可以包括经验模型，参数模型和动态模型。可以在间歇反应过程的循环期间监测与批次反应过程的批料间质量值相关但不同于批处理质量值的关键质量参数。质量参数可以用于产生所需的批次轨迹，其可以用于在间歇反应过程的循环期间控制间歇反应过程。

2. 发明授权

US09046882B2 Nonlinear model predictive control of a batch reaction system 有权
标题翻译：分批反应体系的非线性模型预测控制
公开(公告)号：US09046882B2
公开(公告)日：2015-06-02
申请号：US12827876
申请日：2010-06-30
申请人： James Bartee , Maina A. Macharia , Patrick D. Noll , Bijan Sayyar-Rodsari , Michael E. Tay
发明人： James Bartee , Maina A. Macharia , Patrick D. Noll , Bijan Sayyar-Rodsari , Michael E. Tay
IPC分类号： G05B21/00 , G05B17/02
CPC分类号： G05B17/02 , C12M21/12 , C12M43/02
摘要： The present invention provides novel techniques for controlling batch reaction processes. In particular, a parametric hybrid model may be used to parameterize inputs and outputs of batch reaction processes. The parametric hybrid model may include an empirical model, a parameter model, and a dynamic model. Critical quality parameters, which are correlated with, but not the same as, end-of-batch quality values for the batch reaction processes may be monitored during cycles of the batch reaction processes. The quality parameters may be used to generate desired batch trajectories, which may be used to control the batch reaction processes during the cycles of the batch reaction processes.
摘要翻译：本发明提供了控制间歇反应过程的新技术。特别地，可以使用参数化混合模型来参数化分批反应过程的输入和输出。参数混合模型可以包括经验模型，参数模型和动态模型。可以在间歇反应过程的循环期间监测与批次反应过程的批料间质量值相关但不同于批处理质量值的关键质量参数。质量参数可以用于产生所需的批次轨迹，其可以用于在间歇反应过程的循环期间控制间歇反应过程。

3. 发明申请

US20080104003A1 MODEL PREDICTIVE CONTROL OF A FERMENTATION FEED IN BIOFUEL PRODUCTION 有权
标题翻译：发酵生产中发酵饲料的模型预测控制
公开(公告)号：US20080104003A1
公开(公告)日：2008-05-01
申请号：US11757557
申请日：2007-06-04
申请人： Maina A. Macharia , Patrick D. Noll , Michael E. Tay
发明人： Maina A. Macharia , Patrick D. Noll , Michael E. Tay
IPC分类号： G06F17/00 , G06G7/48
CPC分类号： C12Q3/00 , C10G2300/1011 , C12M21/12 , C12M41/48 , C12M43/02 , G05B13/048 , G05B17/02 , Y02P30/20 , Y02P80/21
摘要： System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective. The controller is operable to dynamically control the biofuel production process by adjusting the plurality of manipulated variables to model-determined target values to stabilize water/biomass balance in the fermentation feed in accordance with the specified objective, including the specified target biomass concentration.
摘要翻译：用于管理生物燃料生产过程中的发酵饲料的系统和方法，包括耦合到动态多变量预测模型的基于动态多变量预测模型的控制器。该模型可执行于：从生物燃料生产过程中接收过程信息，包括水资源清查和生物量信息; 获得指定目标生物量浓度的发酵饲料的特定目标; 并且产生包括生物燃料生产过程的多个操作变量的目标值的模型输出，包括根据指定目标对发酵饲料贡献的水和/或生物质的目标流速。控制器可操作以通过将多个操作变量调整到模型确定的目标值来动态地控制生物燃料生产过程，以根据包括指定的目标生物质浓度的指定目标来稳定发酵饲料中的水/生物量平衡。

4. 发明申请

US20080167852A1 Nonlinear Model Predictive Control of a Biofuel Fermentation Process 有权
标题翻译：生物燃料发酵过程的非线性模型预测控制
公开(公告)号：US20080167852A1
公开(公告)日：2008-07-10
申请号：US11927960
申请日：2007-10-30
申请人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
发明人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
IPC分类号： G06G7/48
CPC分类号： C12M41/12 , C12M41/44 , C12M41/46 , C12M41/48 , C12M45/09 , C12P7/06 , G05B13/04 , G05B13/048 , Y02E50/17
摘要： System and method for managing batch fermentation in a biofuel production process. A nonlinear control model of yeast growth and fermentable sugar concentration for biofuel (e.g., fuel ethanol) production in a batch fermentation process (pure and/or fed-batch fermentation) of a biofuel production process is provided. Process information for the batch fermentation process is received, and the nonlinear control model executed using the process information as input to determine values of one or more fermentation process variables for the batch fermentation process, e.g., fermentation temperature and/or enzyme flow, for substantially maximizing yeast growth and achieving target fermentable sugar concentrations. The batch fermentation process is then controlled in accordance with the determined values for the one or more fermentation process variables to substantially maximize yeast growth and achieve target fermentable sugar concentrations, where substantially maximizing yeast growth and achieving target fermentable sugar concentrations substantially maximizes biofuel production in the batch fermentation process.
摘要翻译：在生物燃料生产过程中管理分批发酵的系统和方法。提供了生物燃料生产过程的分批发酵方法（纯和/或补料分批发酵）中生物燃料（例如燃料乙醇）生产的酵母生长和可发酵糖浓度的非线性控制模型。接收批量发酵过程的过程信息，并且使用过程信息作为输入执行非线性控制模型，以确定批量发酵过程的一个或多个发酵过程变量的值，例如发酵温度和/或酶流，基本上最大化酵母生长并达到目标可发酵糖浓度。然后根据一个或多个发酵过程变量的确定值来控制分批发酵过程，以基本上使酵母生长最大化并达到目标可发酵糖浓度，其中基本上使酵母生长最大化并达到目标可发酵糖浓度基本上使生物燃料生产最大化分批发酵过程。

5. 发明授权

US08571690B2 Nonlinear model predictive control of a biofuel fermentation process 有权
标题翻译：生物燃料发酵过程的非线性模型预测控制
公开(公告)号：US08571690B2
公开(公告)日：2013-10-29
申请号：US11927960
申请日：2007-10-30
申请人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
发明人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
IPC分类号： C12M1/38 , G05B13/04 , C12M1/36 , C12M1/34 , C12M1/00
CPC分类号： C12M41/12 , C12M41/44 , C12M41/46 , C12M41/48 , C12M45/09 , C12P7/06 , G05B13/04 , G05B13/048 , Y02E50/17
摘要： A system and method are provided for managing batch fermentation in a biofuel production process. A nonlinear control model of yeast growth and fermentable sugar concentration for biofuel (e.g., fuel ethanol) production in a batch fermentation process (pure and/or fed-batch fermentation) of a biofuel production process is provided. Process information for the batch fermentation process is received, and the nonlinear control model executed using the process information as input to determine values of one or more fermentation process variables for the batch fermentation process, e.g., fermentation temperature and/or enzyme flow, for substantially maximizing yeast growth and achieving target fermentable sugar concentrations. The batch fermentation process is then controlled in accordance with the determined values for the one or more fermentation process variables to substantially maximize yeast growth and achieve target fermentable sugar concentrations, where substantially maximizing yeast growth and achieving target fermentable sugar concentrations substantially maximizes biofuel production in the batch fermentation process.
摘要翻译：提供了一种用于在生物燃料生产过程中管理分批发酵的系统和方法。提供了生物燃料生产过程的分批发酵方法（纯和/或补料分批发酵）中生物燃料（例如燃料乙醇）生产的酵母生长和可发酵糖浓度的非线性控制模型。接收批量发酵过程的过程信息，并且使用过程信息作为输入执行非线性控制模型，以确定批量发酵过程的一个或多个发酵过程变量的值，例如发酵温度和/或酶流，基本上最大化酵母生长并达到目标可发酵糖浓度。然后根据一个或多个发酵过程变量的确定值来控制分批发酵过程，以基本上使酵母生长最大化并达到目标可发酵糖浓度，其中基本上使酵母生长最大化并达到目标可发酵糖浓度基本上使生物燃料生产最大化分批发酵过程。

6. 发明授权

US08755939B2 Throughput/yield optimized model predictive control 有权
标题翻译：吞吐量/产量优化模型预测控制
公开(公告)号：US08755939B2
公开(公告)日：2014-06-17
申请号：US12165371
申请日：2008-06-30
申请人： Maina A. Macharia , Michael E. Tay , Patrick D. Noll , James F. Bartee
发明人： Maina A. Macharia , Michael E. Tay , Patrick D. Noll , James F. Bartee
IPC分类号： G05B21/00 , G01N31/00 , G06G7/48
CPC分类号： G05B13/042
摘要： The present invention provides novel techniques for optimizing throughput and yield using model predictive control techniques. In particular, the present techniques are presented in the context of biofuel production, wherein the trade off between yields of biofuel production and overall system throughput may be optimized. However, the present techniques may also be applied to any other suitable applications where a batch process of the system may affect a change in a property of the produced product, such as liquor processing.
摘要翻译：本发明提供了使用模型预测控制技术优化吞吐量和产量的新技术。特别地，本技术在生物燃料生产的背景下呈现，其中可以优化生物燃料生产的产量与总体系统产量之间的权衡。然而，本技术也可以应用于任何其他合适的应用，其中系统的批处理可能影响生产的产品的性质的变化，例如液体处理。

7. 发明授权

US08634940B2 Model predictive control of a fermentation feed in biofuel production 有权
标题翻译：生物燃料生产中发酵饲料的模型预测控制
公开(公告)号：US08634940B2
公开(公告)日：2014-01-21
申请号：US11757557
申请日：2007-06-04
申请人： Maina A. Macharia , Patrick D. Noll , Michael E. Tay
发明人： Maina A. Macharia , Patrick D. Noll , Michael E. Tay
IPC分类号： C12M1/38 , G05B13/04
CPC分类号： C12Q3/00 , C10G2300/1011 , C12M21/12 , C12M41/48 , C12M43/02 , G05B13/048 , G05B17/02 , Y02P30/20 , Y02P80/21
摘要： System and method for managing fermentation feed in a biofuel production process, comprising a dynamic multivariate predictive model-based controller coupled to a dynamic multivariate predictive model. The model is executable to: receive process information, including water inventory and biomass information, from the biofuel production process; receive a specified objective for the fermentation feed specifying a target biomass concentration; and generate model output comprising target values for a plurality of manipulated variables of the biofuel production process, including target flow rates of water and/or biomass contributing to the fermentation feed in accordance with the specified objective. The controller is operable to dynamically control the biofuel production process by adjusting the plurality of manipulated variables to model-determined target values to stabilize water/biomass balance in the fermentation feed in accordance with the specified objective, including the specified target biomass concentration.
摘要翻译：用于管理生物燃料生产过程中的发酵饲料的系统和方法，包括耦合到动态多变量预测模型的基于动态多变量预测模型的控制器。该模型可执行于：从生物燃料生产过程中接收过程信息，包括水资源清查和生物量信息; 获得指定目标生物量浓度的发酵饲料的特定目标; 并且产生包括生物燃料生产过程的多个操作变量的目标值的模型输出，包括根据指定目标对发酵饲料贡献的水和/或生物质的目标流速。控制器可操作以通过将多个操作变量调整到模型确定的目标值来动态地控制生物燃料生产过程，以根据包括指定的目标生物质浓度的指定目标来稳定发酵饲料中的水/生物量平衡。

8. 发明授权

US07933849B2 Integrated model predictive control of batch and continuous processes in a biofuel production process 有权
标题翻译：生物燃料生产过程中批次和连续过程的综合模型预测控制
公开(公告)号：US07933849B2
公开(公告)日：2011-04-26
申请号：US11928186
申请日：2007-10-30
申请人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
发明人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
IPC分类号： G06E1/00 , G06E3/00 , G06F15/18 , G06G7/00
CPC分类号： G05B17/02 , C12P7/06 , Y02E50/17
摘要： System and method for managing a biofuel production process. An integrated dynamic multivariate predictive model is provided that includes a continuous process model representing a continuous process of the biofuel production process, a batch process model representing a batch process of the biofuel production process, and a continuous simulation framework. The batch process model interacts with the continuous process model as a nonlinear continuous process via the framework using bridging equations. An objective is received, as is constraint information specifying constraints for the biofuel production process, where the constraints are in terms of the framework, and process information related to the batch and continuous processes. The integrated model is executed per the objective using the process information as input, generating target values for variables related to the batch and continuous processes per the objective and subject to the constraints, and used to control the batch and continuous processes substantially optimally.
摘要翻译：管理生物燃料生产过程的系统和方法。提供了一种综合的动态多变量预测模型，其包括代表生物燃料生产过程的连续过程的连续过程模型，代表生物燃料生产过程的分批过程的分批过程模型和连续模拟框架。批处理模型通过框架使用桥接方程与连续过程模型作为非线性连续过程进行交互。收到一个目标，同样的约束信息指定了生物燃料生产过程的约束条件，其中约束在框架上，以及与批次和连续过程相关的过程信息。使用过程信息作为输入，根据目标执行集成模型，为每个目标产生与批次和连续过程相关的变量的目标值，并受制约，并用于基本上最佳地控制批次和连续过程。

9. 发明授权

US07831318B2 Model predictive control of fermentation temperature in biofuel production 有权
标题翻译：生物燃料生产中发酵温度的模型预测控制
公开(公告)号：US07831318B2
公开(公告)日：2010-11-09
申请号：US11928344
申请日：2007-10-30
申请人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
发明人： James F. Bartee , Maina A. Macharia , Patrick D. Noll , Michael E. Tay
IPC分类号： G05B13/04 , G05B19/04 , G05B19/418 , C12M1/38
CPC分类号： G05B13/048
摘要： A system and method are provided for controlling temperature of a batch fermenter in a biofuel production process. A nonlinear predictive integrating temperature model for a batch fermentation process is provided that is a function of fermenter level. An objective for the batch fermentation process specifying a target fermenter temperature for the batch fermentation process is received, as is process information for the batch fermentation process, including fermenter level and fermenter temperature. The nonlinear predictive integrating temperature model is executed in accordance with the objective using the process information as input to determine target values for manipulated variables for controlling fermenter temperature of the batch fermentation process. The fermenter temperature for the batch fermentation process is controlled in accordance with the target values to produce biofuel in accordance with the objective, to substantially optimize the end of batch biofuel yield.
摘要翻译：提供了一种用于控制生物燃料生产过程中批发酵罐的温度的系统和方法。提供了分批发酵过程的非线性预测积分温度模型，其是发酵罐水平的函数。接收指定分批发酵过程的目标发酵罐温度的分批发酵过程的目的，以及批量发酵过程的方法信息，包括发酵罐水平和发酵罐温度。根据目标，使用过程信息作为输入来执行非线性预测积分温度模型，以确定用于控制分批发酵过程的发酵罐温度的操作变量的目标值。分批发酵过程的发酵罐温度根据目标值进行控制，以根据目的生产生物燃料，从而大大优化批量生物燃料产量的终点。

10. 发明申请

US20090326695A1 THROUGHPUT/YIELD OPTIMIZED MODEL PREDICTIVE CONTROL 有权
标题翻译：通量/优化模型预测控制
公开(公告)号：US20090326695A1
公开(公告)日：2009-12-31
申请号：US12165371
申请日：2008-06-30
申请人： Maina A. Macharia , Michael E. Tay , Patrick D. Noll , James F. Bartee
发明人： Maina A. Macharia , Michael E. Tay , Patrick D. Noll , James F. Bartee
IPC分类号： G06F19/00 , G06G7/66
CPC分类号： G05B13/042
摘要： The present invention provides novel techniques for optimizing throughput and yield using model predictive control techniques. In particular, the present techniques are presented in the context of biofuel production, wherein the trade off between yields of biofuel production and overall system throughput may be optimized. However, the present techniques may also be applied to any other suitable applications where a batch process of the system may affect a change in a property of the produced product, such as liquor processing.
摘要翻译：本发明提供了使用模型预测控制技术优化吞吐量和产量的新技术。特别地，本技术在生物燃料生产的背景下呈现，其中可以优化生物燃料生产的产量与总体系统产量之间的权衡。然而，本技术也可以应用于任何其他合适的应用，其中系统的批处理可能影响生产的产品的性质的变化，例如液体处理。

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