Patents by Inventor Eduardo Gallestey

Eduardo Gallestey 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).

  • Patent number: 11566948
    Abstract: A method, apparatus and system for measuring a temperature can involve measuring a voltage with a resistance temperature detector using a variable excitation current, and deriving a process temperature from the voltage measured by the resistance temperature detector. The process temperature can be further derived by applying a plurality of values of the variable excitation current, measuring corresponding values of voltage, and estimating a resistance by applying a least square estimation. The process temperature can also be derived by applying a different value of the variable excitation current at every iteration, using a recursive least square estimation to measure a resistance, and using confidence intervals for instrument diagnostics.
    Type: Grant
    Filed: February 13, 2020
    Date of Patent: January 31, 2023
    Assignee: Honeywell International Inc.
    Inventors: Eduardo Gallestey Alvarez, Sarabjit Singh, Shripad Kumar Pande, Seshagiri Yamarthi
  • Publication number: 20210255046
    Abstract: A method, apparatus and system for measuring a temperature can involve measuring a voltage with a resistance temperature detector using a variable excitation current, and deriving a process temperature from the voltage measured by the resistance temperature detector. The process temperature can be further derived by applying a plurality of values of the variable excitation current, measuring corresponding values of voltage, and estimating a resistance by applying a least square estimation. The process temperature can also be derived by applying a different value of the variable excitation current at every iteration, using a recursive least square estimation to measure a resistance, and using confidence intervals for instrument diagnostics.
    Type: Application
    Filed: February 13, 2020
    Publication date: August 19, 2021
    Inventors: Eduardo Gallestey Alvarez, Sarabjit Singh, Shripad Kumar Pande, Seshagiri Yamarthi
  • Patent number: 9539582
    Abstract: A system and method are disclosed for observing a change of mass inside a grinding unit as a part of a grinding process with a storing unit. The change of mass is derived from a mass balance for the grinding unit and a mass balance for the storing unit.
    Type: Grant
    Filed: November 13, 2013
    Date of Patent: January 10, 2017
    Assignee: ABB Research LTD
    Inventors: Eduardo Gallestey Alvarez, Konrad Stadler
  • Patent number: 9285787
    Abstract: A model-based control of an industrial process using a merged MLD system model is provided for the estimation and subsequent control of the process. An optimization of an objective function is performed. The objective function includes a difference between an observed quantity and an output variable of a Mixed Logical Dynamic (MLD) system model of the process. The optimization is performed as a function of state variables of the MLD system model, over a number of time steps in the past, and subject to constraints defined by the MLD system model's dynamics. The optimizing values of the state variables are retained as estimated initial states for subsequent control of the process in a model-based manner including the same MLD system model. The single MLD system model is a combination or merger of individual MLD subsystem models representing the sub-processes of the process, and may be elaborated during a customization step.
    Type: Grant
    Filed: December 22, 2011
    Date of Patent: March 15, 2016
    Assignee: ABB RESEARCH LTD
    Inventors: Alvarez Eduardo Gallestey, Jan Poland, Konrad Stadler, Sebastian Gaulocher, Hamed Foroush
  • Publication number: 20140070034
    Abstract: A system and method are disclosed for observing a change of mass inside a grinding unit as a part of a grinding process with a storing unit. The change of mass is derived from a mass balance for the grinding unit and a mass balance for the storing unit.
    Type: Application
    Filed: November 13, 2013
    Publication date: March 13, 2014
    Applicant: ABB RESEARCH LTD
    Inventors: Eduardo GALLESTEY ALVAREZ, Konrad STADLER
  • Publication number: 20120150507
    Abstract: A model-based control of an industrial process using a merged MLD system model is provided for the estimation and subsequent control of the process. An optimization of an objective function is performed. The objective function includes a difference between an observed quantity and an output variable of a Mixed Logical Dynamic (MLD) system model of the process. The optimization is performed as a function of state variables of the MLD system model, over a number of time steps in the past, and subject to constraints defined by the MLD system model's dynamics. The optimizing values of the state variables are retained as estimated initial states for subsequent control of the process in a model-based manner including the same MLD system model. The single MLD system model is a combination or merger of individual MLD subsystem models representing the sub-processes of the process, and may be elaborated during a customization step.
    Type: Application
    Filed: December 22, 2011
    Publication date: June 14, 2012
    Applicant: ABB RESEARCH LTD
    Inventors: Alvarez Eduardo Gallestey, Jan Poland, Konrad Stadler, Sebastian Gaulocher, Hamed Foroush
  • Publication number: 20110208341
    Abstract: A control system for controlling an industrial process includes an indicator generator configured to determine at least one fuzzy logic based indicator from measured process variables. The control system also includes a state estimator configured to determine estimated physical process states based on the fuzzy indicator. For controlling the industrial process, the process controller is configured to calculate manipulated variables based on (i) defined set-points and (ii) a physical model of the process using the estimated physical process states. Combining a fuzzy logic indicator with a model based process controller provides robust indicators of the process states for controlling an industrial process in a real plant situation in which measured process variables may possibly contradict each other.
    Type: Application
    Filed: March 18, 2011
    Publication date: August 25, 2011
    Applicant: ABB RESEARCH LTD.
    Inventors: Konrad STADLER, Eduardo Gallestey Alvarez, Jan Poland
  • Patent number: 7426456
    Abstract: In a method and computer program product for optimal operation of a power plant and a power plant optimising system an optimisation mode (1) minimises a cost function (J[u],J[P]) that comprises a deviation of lifetime of plant components (LTp(?)) from a desired nominal lifetime trajectory (LTn(?)). This is done by, at a given time, determining future values of input values (u(?),P(?)) such as control values (P(?)) or process values (u(?)) to the plant and simulating, in a simulation modulate (2), the behaviour of the plant up to a given future time. Corresponding lifetime values are determined in the simulation, and incorporated in an objective function. The optimisation module (1) minimises the cost function (J[u],J[P]) by varying the input values (u(?),P(?)). As a result, it is possible to operate the plant such that component lifetime (LTp(?)) follows the desired trajectory (LTn(?)).
    Type: Grant
    Filed: November 19, 2002
    Date of Patent: September 16, 2008
    Assignee: ABB Research Ltd
    Inventors: Eduardo Gallestey Alvarez, Alec Stothert, Marc Antoine, Steve Morton
  • Publication number: 20070143074
    Abstract: Modelling of industrial processes is simplified with the use of Mixed Logical Dynamic (MLD) framework. Optimal control problems can be generated for application to industrial processes. For example, two arbitrarily connected MLD blocks are automatically merged to obtain one composite MLD block. Via a repeated use of the procedure, any arbitrarily complex system containing the complete description of an industrial process can be generated from the simplest MLD building blocks. The optimal control problem is generated via adding an MLD block whose unique output becomes the cost functional of the problem. In a graphical environment, any specific industrial process may be reproduced by instantiating blocks from a library of basic MLD elements or atomic MLD blocks and by properly connecting them. In case an appropriate library is available, this process will not require any expert knowledge from the end user apart from the ability to build the graphical interconnections mentioned.
    Type: Application
    Filed: December 4, 2006
    Publication date: June 21, 2007
    Applicant: ABB Research Ltd.
    Inventors: Eduardo Gallestey, Dario Castagnoli, Alec Stothert
  • Patent number: 7058552
    Abstract: In a method and computer program product for optimizing power plant control values and a power plant optimizing system an optimization module (1) minimizes total plant operation costs while achieving predetermined required output values for produced power and process steam. This is done by, at a given time, determining future values of control values and simulating, in a simulation module (2), the behavior of the plant up to a given future time. Corresponding fuel costs and generated power are determined in the simulation, and incorporated in an objective function. The optimization module (1) minimizes the objective function by varying the control values. According to the invention, a rate of ageing of plant components is determined when simulating the future behavior of the plant, and the objective function to be minimized comprises said rate of ageing.
    Type: Grant
    Filed: December 19, 2001
    Date of Patent: June 6, 2006
    Assignee: ABB Research Ltd
    Inventors: Alec Stothert, Eduardo Gallestey Alvarez, Markus Ahrens, Marc Antoine, Steve Morton
  • Publication number: 20050154476
    Abstract: The inventive process control system makes use of Optimal control (OC) and model predictive control (MPC) techniques for selection of the Expert Systems (ES) targets U. The ES target U is selected in such a way that the performance criterion J is minimized. In other words, a mathematical model of extended system given by the process P and the ES is developed. This mathematical model has hybrid nature in the sense that both continuous dynamics (mostly process) and logical relationships (mostly ES) appear in it. Controlled variables of the mathematical model are the ES targets U and inputs are the measurements y and the performance criterion J. OC and/or MPC techniques are used to compute U. The optimizer of the OC/MPC selects values of the ES targets U only. This activity has lower sampling rates than selection of C, which makes the design of the OC/MPC controlled easier.
    Type: Application
    Filed: December 23, 2004
    Publication date: July 14, 2005
    Applicant: ABB Research Ltd.
    Inventors: Eduardo Gallestey, Alec Stothert
  • Publication number: 20040064297
    Abstract: For estimating a value of a vector of variables p in a mathematical model representing a physical process, where a state vector x of the model is estimated by a State Augmented Extended Kalman Filter (SAEKF), and where that the vector of variables p represents one or more properties of the process and is representable by a function of the state vector x, the following steps are executed:
    Type: Application
    Filed: September 29, 2003
    Publication date: April 1, 2004
    Applicant: ABB Research Ltd
    Inventors: Eduardo Gallestey Alvarez, Geir Hovland, Thomas von Hoff
  • Publication number: 20030100974
    Abstract: In a method and computer program product for optimal operation of a power plant and a power plant optimising system an optimisation module (1) minimises a cost function (J[u],J[P]) that comprises a deviation of lifetime of plant components (LTp(&tgr;)) from a desired nominal lifetime trajectory (LTn(&tgr;)). This is done by, at a given time, determining future values of input values (u(&tgr;),P(&tgr;)) such as control values (P(&tgr;)) or process values (u(&tgr;)) to the plant and simulating, in a simulation module (2), the behaviour of the plant up to a given future time. Corresponding lifetime values are determined in the simulation, and incorporated in an objective function. The optimisation module (1) minimises the cost function (J[u],J[P]) by varying the input values (u(&tgr;),P(&tgr;)). As a result, it is possible to operate the plant such that component lifetime (LTp(&tgr;)) follows the desired trajectory (LTn(&tgr;)).
    Type: Application
    Filed: November 19, 2002
    Publication date: May 29, 2003
    Inventors: Eduardo Gallestey Alvarez, Alec Stothert, Marc Antoine, Steve Morton
  • Publication number: 20020120352
    Abstract: In a method and computer program product for optimizing power plant control values and a power plant optimizing system an optimization module (1) minimizes total plant operation costs while achieving predetermined required output values for produced power and process steam. This is done by, at a given time, determining future values of control values and simulating, in a simulation module (2), the behavior of the plant up to a given future time. Corresponding fuel costs and generated power are determined in the simulation, and incorporated in an objective function. The optimization module (1) minimizes the objective function by varying the control values. According to the invention, a rate of ageing of plant components is determined when simulating the future behavior of the plant, and the objective function to be minimized comprises said rate of ageing.
    Type: Application
    Filed: December 19, 2001
    Publication date: August 29, 2002
    Inventors: Alec Stothert, Eduardo Gallestey Alvarez, Markus Ahrens, Marc Antoine, Steve Morton