APPARATUS AND METHOD FOR CENTRALLY MANAGING HUMAN INTERFACE SENSORS AND ACTUATORS IN INTERACTIVE MACHINES

    公开(公告)号:US20180032127A1

    公开(公告)日:2018-02-01

    申请号:US15533937

    申请日:2015-12-08

    发明人: Dhruv Adhia

    IPC分类号: G06F3/01 G06T17/00 G05B19/409

    摘要: A computer programmed method and apparatus is provided for centrally managing sensors and actuators used by a human interactive machine, such as an interactive virtual hologram display machine. The method can be expressed as program code (“middleware implementation”) stored on a memory of the human interactive machine, and executed by a processor of that machine. The middleware implementation is created using a human interface sensor middleware platform, which acts as an intermediary between sensors in the human interactive machine that provide sensor data, such as accelerometers and motion capture cameras, and actuators in the human interactive machine such as projectors and sound systems. The middleware platform provides mechanisms for reporting and interrogating the protocols used by the sensors and actuators, as well as a standard architecture for creating services used in the middleware implementation.

    DYNAMICAL MONITORING AND MODELLING OF A COORDINATE MEASURING MACHINE
    2.
    发明申请
    DYNAMICAL MONITORING AND MODELLING OF A COORDINATE MEASURING MACHINE 有权
    坐标测量机的动态监测与建模

    公开(公告)号:US20140249772A1

    公开(公告)日:2014-09-04

    申请号:US14172752

    申请日:2014-02-04

    发明人: Bernhard SPRENGER

    IPC分类号: G01B5/008

    摘要: A method for providing dynamic state information for a coordinate measuring machine that includes a base, a probe head, a machine structure linking the probe head to the base and a drive mechanism that moves the probe head. A dynamic model with first state variables represents an actual state of physical properties of the coordinate measuring machine. The first state variables are provided in a database and the actual state of the coordinate measuring machine is determined using the dynamic model. The state variables are monitored and, based thereon, the change of the state variables is determined. Updated, second state variables are set regarding the determined change of the first state variables. The dynamic model is updated using the second state variables in place of the first state variables, wherein the actual state of the coordinate measuring machine is calculated based on the second state variables.

    摘要翻译: 一种用于为坐标测量机提供动态状态信息的方法,该坐标测量机包括基座,探针头,将探头与基座连接的机器结构以及移动探头的驱动机构。 具有第一状态变量的动态模型表示坐标测量机的物理特性的实际状态。 在数据库中提供第一状态变量,并使用动态模型确定坐标测量机的实际状态。 监视状态变量,并且基于此确定状态变量的变化。 关于确定的第一状态变量的变化设置更新的第二状态变量。 使用第二状态变量代替第一状态变量更新动态模型,其中基于第二状态变量来计算坐标测量机的实际状态。

    Dynamical monitoring and modelling of a coordinate measuring machine
    5.
    发明授权
    Dynamical monitoring and modelling of a coordinate measuring machine 有权
    坐标测量机的动态监测和建模

    公开(公告)号:US09593927B2

    公开(公告)日:2017-03-14

    申请号:US14172752

    申请日:2014-02-04

    发明人: Bernhard Sprenger

    IPC分类号: G01C19/00 G01B5/008 G01B21/04

    摘要: A method for providing dynamic state information for a coordinate measuring machine that includes a base, a probe head, a machine structure linking the probe head to the base and a drive mechanism that moves the probe head. A dynamic model with first state variables represents an actual state of physical properties of the coordinate measuring machine. The first state variables are provided in a database and the actual state of the coordinate measuring machine is determined using the dynamic model. The state variables are monitored and, based thereon, the change of the state variables is determined. Updated, second state variables are set regarding the determined change of the first state variables. The dynamic model is updated using the second state variables in place of the first state variables, wherein the actual state of the coordinate measuring machine is calculated based on the second state variables.

    摘要翻译: 一种用于为坐标测量机提供动态状态信息的方法,该坐标测量机包括基座,探针头,将探头与基座连接的机器结构以及移动探头的驱动机构。 具有第一状态变量的动态模型表示坐标测量机的物理特性的实际状态。 在数据库中提供第一状态变量,并使用动态模型确定坐标测量机的实际状态。 监视状态变量,并且基于此确定状态变量的变化。 关于确定的第一状态变量的变化设置更新的第二状态变量。 使用第二状态变量代替第一状态变量更新动态模型,其中基于第二状态变量来计算坐标测量机的实际状态。

    Use of predictors in process control systems with wireless or intermittent process measurements
    6.
    发明授权
    Use of predictors in process control systems with wireless or intermittent process measurements 有权
    在具有无线或间歇过程测量的过程控制系统中使用预测变量

    公开(公告)号:US09405286B2

    公开(公告)日:2016-08-02

    申请号:US13782478

    申请日:2013-03-01

    IPC分类号: G05B19/05 G05B13/04

    摘要: A control technique that enables the use of slow or intermittently received process variable values in a predictor based control scheme without the need to change the control algorithm includes a controller, such as a PID controller, and a predictor, such as a model based predictor, coupled to receive intermittent feedback in the form of, for example, process variable measurement signals from a process. The predictor, which may be an observer like a Kalman filter, or which may be a Smith predictor, is configured to produce an estimate of the process variable value from the intermittent or slow process feedback signals while providing a new process variable estimate to the controller during each of the controller execution cycles to enable the controller to produce a control signal used to control the process.

    摘要翻译: 使得能够在基于预测器的控制方案中使用慢或间歇接收的过程变量值而不需要改变控制算法的控制技术包括诸如PID控制器的控制器和诸如基于模型的预测器之类的预测器, 耦合以接收例如来自过程的过程变量测量信号的形式的间歇反馈。 预测器,其可以是诸如卡尔曼滤波器的观测器,或者可以是史密斯预测器,被配置为从间歇或慢的过程反馈信号产生过程变量值的估计,同时向控制器提供新的过程变量估计 在每个控制器执行周期期间,使控制器产生用于控制过程的控制信号。

    Model-Based Control Under Uncertainty
    8.
    发明申请

    公开(公告)号:US20190188592A1

    公开(公告)日:2019-06-20

    申请号:US15845134

    申请日:2017-12-18

    IPC分类号: G06N7/00 G06F17/18

    摘要: An apparatus for controlling a system includes a memory to store a model of the system including a motion model of the system subject to process noise and a measurement model of the system subject to measurement noise, such that one or combination of the process noise and the measurement noise forms an uncertainty of the model of the system with unknown probabilistic parameters, wherein the uncertainty of the model of the system causes a state uncertainty of the system with unknown probabilistic parameters. The apparatus also includes a sensor to measure a signal to produce a sequence of measurements indicative of a state of the system, a processor to estimate a Gaussian distribution representing the state uncertainty, and a controller to determine a control input to the system using the model of the system with state uncertainty represented by the Gaussian distribution and control the system according to the control input. The processor is configured to estimate, using at least one or combination of the motion model, the measurement model, and the measurements of the state of the system, a first Student-t distribution representing the uncertainties of the model and a second Student-t distribution representing the state uncertainty of the system, the estimation is performed iteratively until a termination condition is met, and fit a Gaussian distribution representing the state uncertainty into the second Student-t distribution.

    KALMAN FILTERS IN PROCESS CONTROL SYSTEMS
    9.
    发明申请
    KALMAN FILTERS IN PROCESS CONTROL SYSTEMS 有权
    过程控制系统中的卡尔曼滤波器

    公开(公告)号:US20140249654A1

    公开(公告)日:2014-09-04

    申请号:US13963307

    申请日:2013-08-09

    IPC分类号: G05B19/05

    摘要: A control technique that enables the use of received process variable values in a Kalman filter based control scheme without the need to change the control algorithm includes a controller, such as a PID controller, and a Kalman filter, coupled to receive feedback in the form of, for example, process variable measurement signals from a process. The Kalman filter is configured to produce an estimate of the process variable value from slow or intermittent process feedback signals while providing a new process variable estimate to the controller during each of the controller execution cycles to enable the controller to produce a control signal used to control the process. The Kalman filter is also configured to compensate the process variable estimate for process noise with non-zero mean value that may be present in the process. The Kalman filter may apply this compensation to both continuously and intermittently received process variable values.

    摘要翻译: 能够在基于卡尔曼滤波器的控制方案中使用接收的过程变量值而不需要改变控制算法的控制技术包括诸如PID控制器和卡尔曼滤波器之类的控制器,该控制器被耦合以接收以 例如,来自过程的过程变量测量信号。 卡尔曼滤波器被配置为从慢或间歇过程反馈信号产生过程变量值的估计,同时在每个控制器执行周期期间向控制器提供新的过程变量估计,以使得控制器能够产生用于控制的控制信号 的过程。 卡尔曼滤波器还被配置为以过程中可能存在的非零平均值来补偿过程噪声的过程变量估计。 卡尔曼滤波器可以将该补偿应用于连续和间歇接收的过程变量值。

    USE OF PREDICTORS IN PROCESS CONTROL SYSTEMS WITH WIRELESS OR INTERMITTENT PROCESS MEASUREMENTS
    10.
    发明申请
    USE OF PREDICTORS IN PROCESS CONTROL SYSTEMS WITH WIRELESS OR INTERMITTENT PROCESS MEASUREMENTS 有权
    无线或间接过程测量在过程控制系统中使用预测器

    公开(公告)号:US20140249653A1

    公开(公告)日:2014-09-04

    申请号:US13782478

    申请日:2013-03-01

    IPC分类号: G05B19/05

    摘要: A control technique that enables the use of slow or intermittently received process variable values in a predictor based control scheme without the need to change the control algorithm includes a controller, such as a PID controller, and a predictor, such as a model based predictor, coupled to receive intermittent feedback in the form of, for example, process variable measurement signals from a process. The predictor, which may be an observer like a Kalman filter, or which may be a Smith predictor, is configured to produce an estimate of the process variable value from the intermittent or slow process feedback signals while providing a new process variable estimate to the controller during each of the controller execution cycles to enable the controller to produce a control signal used to control the process.

    摘要翻译: 使得能够在基于预测器的控制方案中使用慢或间歇接收的过程变量值而不需要改变控制算法的控制技术包括诸如PID控制器的控制器和诸如基于模型的预测器之类的预测器, 耦合以接收例如来自过程的过程变量测量信号的形式的间歇反馈。 预测器,其可以是诸如卡尔曼滤波器的观测器,或者可以是史密斯预测器,被配置为从间歇或慢的过程反馈信号产生过程变量值的估计,同时向控制器提供新的过程变量估计 在每个控制器执行周期期间,使控制器产生用于控制过程的控制信号。