Device control using processed sensor data corresponding to unexpected operations

    公开(公告)号:US11762371B1

    公开(公告)日:2023-09-19

    申请号:US17734670

    申请日:2022-05-02

    CPC classification number: G05B19/4155 G05B2219/31368

    Abstract: A non-transitory computer-readable medium comprising computer-executable instructions that, when executed, cause a processor to perform operations including receiving a first dataset from a first automation component, the first dataset corresponds to raw data acquired by a first sensor; receiving a second dataset from a second automation component, the second dataset corresponds to raw data acquired by a second sensor; receiving data indicating an expected operation related to operations of an industrial automation system including the first and second automation components; determining a signature based on the first and second datasets and the data indicating the expected operation, wherein the signature indicates an unexpected operation as compared to the expected operation; performing a root cause analysis using the signature to determine a relationship indicating a first set of changes of the first dataset corresponding to a second set of changes in the data indicating the expected operation.

    Systems and methods for controlling industrial devices based on modeled target variables

    公开(公告)号:US11609557B2

    公开(公告)日:2023-03-21

    申请号:US17039347

    申请日:2020-09-30

    Abstract: An industrial automation system may include an automation device and a control system communicatively coupled to the automation device. The control system may include a first module of a number of modules, such that the first module may receive an indication of a target variable associated with the industrial automation device. The first module may then receive parameters associated with the target variable, identify a portion of data points associated with controlling the target variable with respect to the parameters, generate a model of each data point of the portion over time with respect to the parameters based on the data points, determine functions associated with the model. The functions represent one or more relationships between the each data point of the portion with respect to controlling the target variable. The first module may then adjust one or more operations of the automation device based on the functions.

    Systems and methods for controlling industrial devices based on modeled target variables

    公开(公告)号:US10795347B2

    公开(公告)日:2020-10-06

    申请号:US16146664

    申请日:2018-09-28

    Abstract: An industrial automation system may include an automation device and a control system communicatively coupled to the automation device. The control system may include a first module of a number of modules, such that the first module may receive an indication of a target variable associated with the industrial automation device. The first module may then receive parameters associated with the target variable, identify a portion of data points associated with controlling the target variable with respect to the parameters, generate a model of each data point of the portion over time with respect to the parameters based on the data points, determine functions associated with the model. The functions represent one or more relationships between the each data point of the portion with respect to controlling the target variable. The first module may then adjust one or more operations of the automation device based on the functions.

    Secure models for model-based control and optimization

    公开(公告)号:US10359767B2

    公开(公告)日:2019-07-23

    申请号:US15051372

    申请日:2016-02-23

    Abstract: In certain embodiments, a control/optimization system includes an instantiated model object stored in memory on a model server. The model object includes a model of a plant or process being controlled. The model object comprises an interface that precludes the transmission of proprietary information via the interface. The control/optimization system also includes a decision engine software module stored in memory on a decision support server. The decision engine software module is configured to request information from the model object through a communication network via a communication protocol that precludes the transmission of proprietary information, and to receive the requested information from the model object through the communication network via the communication protocol.

    OPTIMIZATION-BASED CONTROL WITH OPEN MODELING ARCHITECTURE SYSTEMS AND METHODS

    公开(公告)号:US20170205813A1

    公开(公告)日:2017-07-20

    申请号:US14995977

    申请日:2016-01-14

    Abstract: In one embodiment, a model predictive control system for an industrial process includes a processor to execute an optimization module to determine manipulated variables for the process over a control horizon based on simulations performed using an objective function with an optimized process model and to control the process using the manipulated variables, to execute model modules including mathematical representations of a response or parameters of the process. The implementation details of the model modules are hidden from and inaccessible to the optimization module. The processor executes unified access modules (UAM). A first UAM interfaces between a first subset of the model modules and the optimization module and adapts output of the first subset for the optimization module, and a second UAM interfaces between a second subset of the model modules and the first subset and adapts output of the second subset for the first subset.

    OPTIMIZATION BASED CONTROLLER TUNING SYSTEMS AND METHODS

    公开(公告)号:US20170205809A1

    公开(公告)日:2017-07-20

    申请号:US14996008

    申请日:2016-01-14

    Abstract: One embodiment of the present disclosure describes an industrial system, which includes a control system that controls operation of an industrial process by instructing an automation component in the industrial system to implement a manipulated variable setpoint. The control system includes a process model that model operation of the industrial process, control optimization that determines the manipulated variable setpoint based at least in part on the process model, a control objective function, and constraints on the industrial process, in which the control objective function includes a tuning parameter that describes weighting between aspects of the industrial process affected by the manipulated variable setpoint; and tuning optimization circuitry that determines the tuning parameter based at least in part on a tuning objective function, in which the tuning objective function is determined based at least in part on a closed form solution to an augmented version of the control objective function, which includes the constraints as soft constraints.

    Deterministic optimization based control system and method for linear and non-linear systems
    19.
    发明授权
    Deterministic optimization based control system and method for linear and non-linear systems 有权
    基于确定性优化的线性和非线性系统的控制系统和方法

    公开(公告)号:US09448546B2

    公开(公告)日:2016-09-20

    申请号:US13838315

    申请日:2013-03-15

    CPC classification number: G05B13/047

    Abstract: The embodiments described herein include one embodiment that provides a control method including determining a linear approximation of a pre-determined non-linear model of a process to be controlled, determining a convex approximation of the nonlinear constraint set, determining an initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, executing an optimization-based control algorithm to improve the initial stabilizing feasible control trajectory for a plurality of sample periods of a control trajectory, and controlling the controlled process by application.

    Abstract translation: 本文描述的实施例包括提供控制方法的一个实施例,包括确定待控制的过程的预定非线性模型的线性近似,确定非线性约束集的凸近似,确定初始稳定可行控制轨迹 对于控制轨迹的多个采样周期,执行基于优化的控制算法,以改善控制轨迹的多个采样周期的初始稳定可行控制轨迹,并通过应用控制受控过程。

    ONLINE INTEGRATION OF MODEL-BASED OPTIMIZATION AND MODEL-LESS CONTROL
    20.
    发明申请
    ONLINE INTEGRATION OF MODEL-BASED OPTIMIZATION AND MODEL-LESS CONTROL 审中-公开
    基于模型优化和模型控制的在线整合

    公开(公告)号:US20160170393A1

    公开(公告)日:2016-06-16

    申请号:US15051402

    申请日:2016-02-23

    CPC classification number: G05B19/045 G05B13/042 G05B17/02 G05B2219/25273

    Abstract: In certain embodiments, a control system includes a model-less controller configured to control operation of a plant or process. The control system also includes a model-based controller that includes a model of the plant or process being controlled by the model-less controller. The model-based controller is configured to modify parameters of the model-less controller.

    Abstract translation: 在某些实施例中,控制系统包括被配置为控制设备或过程的操作的无模型控制器。 控制系统还包括基于模型的控制器,其包括由无模型控制器控制的工厂或过程的模型。 基于模型的控制器配置为修改无模型控制器的参数。

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