Patents by Inventor Eugene Boe
Eugene Boe has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).
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Patent number: 9808762Abstract: One embodiment of the present disclosure describes an industrial system, which includes a control system with a predictive emissions monitoring system that facilitates determining a chemical level output from a selective catalytic reduction unit that reduces the chemical level in gaseous emissions produced by a combustion source using a selective catalytic reduction model. The control system tunes the selective catalytic reduction model by determining tuning parameters based at least in part on vendor information and tuning data determined via a tuning sequence. The tuning sequence includes operating the combustion source at a plurality of load levels, injecting a reactant into received gaseous emissions at each of the plurality of load levels in accordance with an injection rate provided in the vendor information; and determining an input chemical level to and an output chemical level from the selective catalytic reduction unit at each of the plurality of load levels.Type: GrantFiled: April 23, 2015Date of Patent: November 7, 2017Assignee: Rockwell Automation Technologies, Inc.Inventors: Walter Edgar Hayes, IV, Keith Alex Smith, Eugene Boe, Dennis Tzyy-nian Yieh
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Publication number: 20160310896Abstract: One embodiment of the present disclosure describes an industrial system, which includes a control system. The control system includes a predictive emissions monitoring system that facilitates determining a chemical level output from a selective catalytic reduction unit that reduces the chemical level in gaseous emissions produced by a combustion source in the industrial system using a selective catalytic reduction model. The control system tunes the selective catalytic reduction model to the selective catalytic reduction unit by determining tuning parameters of the selective catalytic reduction model based at least in part on vendor information and tuning data determined via a tuning sequence.Type: ApplicationFiled: April 23, 2015Publication date: October 27, 2016Inventors: Walter Edgar Hayes, IV, Keith Alex Smith, Eugene Boe, Dennis Tzyy-nian Yieh
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Patent number: 9329582Abstract: 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. 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.Type: GrantFiled: September 10, 2012Date of Patent: May 3, 2016Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Patent number: 8650009Abstract: A continuous emissions model system is described that employs an emissions model that can determine emissions values from a plant for use in place of sensed emission data in the event of failure or lack of communication from a sensor. The emissions model itself receives inputs that may be based upon sensed data. Each emissions model input may be substituted with a modeled input. The modeled inputs, as well as the emissions model outputs maybe biased to render them more accurate. If any one of the emissions model inputs fails (e.g., becomes unavailable or is clearly erroneous), the corresponding modeled input may be utilized so long as the modeled input passes an acceptability test.Type: GrantFiled: August 31, 2010Date of Patent: February 11, 2014Assignee: Rockwell Automation Technologies, Inc.Inventors: William Butler Forbes, Michael Eugene Sugars, Walter Edgar Hayes, IV, Eugene Boe, Scott Lawrence Jost, Richard Andrew Hovan, Keith Alex Smith
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Patent number: 8577481Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: GrantFiled: October 6, 2011Date of Patent: November 5, 2013Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Publication number: 20130055021Abstract: 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. 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.Type: ApplicationFiled: September 10, 2012Publication date: February 28, 2013Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Patent number: 8311673Abstract: 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. 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.Type: GrantFiled: February 21, 2006Date of Patent: November 13, 2012Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Publication number: 20120053909Abstract: A continuous emissions model system is described that employs an emissions model that can determine emissions values from a plant for use in place of sensed emission data in the event of failure or lack of communication from a sensor. The emissions model itself receives inputs that may be based upon sensed data. Each emissions model input may be substituted with a modeled input. The modeled inputs, as well as the emissions model outputs maybe biased to render them more accurate. If any one of the emissions model inputs fails (e.g., becomes unavailable or is clearly erroneous), the corresponding modeled input may be utilized so long as the modeled input passes an acceptability test.Type: ApplicationFiled: August 31, 2010Publication date: March 1, 2012Applicant: Rockwell Automation Technologies, Inc.Inventors: William Butler Forbes, Michael Eugene Sugars, Walter Edgar Hayes, IV, Eugene Boe, Scott Lawrence Jost, Richard Andrew Hovan, Keith Alex Smith
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Publication number: 20120022670Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: ApplicationFiled: October 6, 2011Publication date: January 26, 2012Applicant: ROCKWELL AUTOMATION TECHNOLOGIES, INC.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 8036763Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: GrantFiled: January 9, 2009Date of Patent: October 11, 2011Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 7610108Abstract: 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.Type: GrantFiled: February 21, 2006Date of Patent: October 27, 2009Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Publication number: 20090177291Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: ApplicationFiled: January 9, 2009Publication date: July 9, 2009Applicant: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 7496414Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: GrantFiled: September 13, 2006Date of Patent: February 24, 2009Assignee: Rockwell Automation Technologies, Inc.Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 7458428Abstract: A towed scraper control system automatically lowers the scraper blade to a working position at the start of a scraping operation according to a certain method. The method includes sensing a ground speed of the vehicle and sensing a draft force applied by the scraper to the vehicle. With the vehicle pulling the scraper at or near a target ground speed over terrain with the blade positioned above a surface of the ground, the blade is automatically lowered with respect to the scraper frame at a first rate until the blade begins to engage the surface of the ground. Thereafter, while the vehicle continues to move forward at or near the target ground speed, the blade is lowered with respect to the frame at a second rate and for a duration related to the sensed ground speed so that lowering of the blade stops when the scraper wheel begins to enter a cut produced by the blade.Type: GrantFiled: February 7, 2006Date of Patent: December 2, 2008Assignee: Deere & CompanyInventors: Gregory Joseph Laudick, Derek Malcolm Eagles, William Guy Alexander, Jeffrey David Dawson, Thomas Eugene Boe
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Patent number: 7418301Abstract: 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.Type: GrantFiled: February 21, 2006Date of Patent: August 26, 2008Assignee: Pavilion Technologies, Inc.Inventors: Eugene Boe, Stephen Piche, Gregory D. Martin
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Publication number: 20080065241Abstract: A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.Type: ApplicationFiled: September 13, 2006Publication date: March 13, 2008Inventors: Eugene Boe, Gregory D. Martin, Stephen W. Piche
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Patent number: 7142968Abstract: A method is provided for automatically determining a hitch raise rate calibration value for a hitch control system having a hydraulic actuator for moving the hitch, a valve for controlling flow of hydraulic fluid to the actuator and an electronic hitch control unit. The method includes applying a first control signal to the valve to cause the hitch to raise, determining a first hitch velocity as the hitch moves in response to the first control signal, and repeating these steps for a second control signal. The raise rate calibration value is then calculated as a function of a desired raise velocity, the first and second control signals and the first and second velocities.Type: GrantFiled: August 3, 2004Date of Patent: November 28, 2006Assignee: Deere & CompanyInventors: William Guy Alexander, Thomas Eugene Boe, Derek Malcolm Eagles, Jianming Yu
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Patent number: 7139619Abstract: 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.Type: GrantFiled: December 22, 2005Date of Patent: November 21, 2006Assignee: Pavilion Technologies, Inc.Inventors: Gregory D. Martin, Eugene Boe, Stephen Piche, James David Keeler, Douglas Timmer, Mark Gerules, John P. Havener, Steven J. McGarel
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Publication number: 20060259197Abstract: 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.Type: ApplicationFiled: February 21, 2006Publication date: November 16, 2006Inventors: Eugene Boe, Stephen Piche, Gregory Martin
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Publication number: 20060241786Abstract: 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.Type: ApplicationFiled: February 21, 2006Publication date: October 26, 2006Inventors: Eugene Boe, Stephen Piche, Gregory Martin