公开(公告)号：US4893262A

公开(公告)日：1990-01-09

申请号：US344458

申请日：1989-04-28

申请人： Paul R. Kalata

发明人： Paul R. Kalata

IPC分类号： G01G11/08 ,  G01G11/12 ,  G01G13/24 ,  G05B13/04 ,  G05D7/06

CPC分类号： G05B13/048 ,  G01G11/08 ,  G01G11/12 ,  G01G13/247 ,  G01G13/248 ,  G05D7/0605

摘要： A weigh feeding system using a stochastic controller wherein the weight of material is sensed, and an estimate of the mass flow state of the material being discharged is created by use of a Kalman filter process. Plant noise processes and measurement noise processes, which affect the measured weight signal, are modeled as stochastic processes and are used, in combination with the sensed weight signal, to calculate the estimated mass flow state. The noise model is modified to account for disturbances. The estimated mass flow state signal is used to calculate a motor feedback signal which, in turn, is used to control the speed of the discharge apparatus. In this manner, the mass flow of the material actually being discharged is driven to a desired mass flow with minimum error variance in the presence of unavoidable plant and measurement noise. Self-tuning of the stochastic controller is employed to accurately determine parameters of the plant noise and measurement noise processes, and to compensate the controller for control dynamics. Feedback control tuning is also employed to monitor the set-point error in order to achieve quick response while maintaining smooth steady-state set point control.

摘要翻译： 一种使用随机控制器的称重馈送系统，其中感测材料的重量，并且通过使用卡尔曼滤波器过程来产生被排出材料的质量流动状态的估计。 影响测量重量信号的植物噪声过程和测量噪声过程被建模为随机过程，并与感测到的重量信号结合使用以计算估计的质量流量状态。 修改噪声模型以解决干扰。 估计的质量流量状态信号用于计算马达反馈信号，马达反馈信号又用于控制排放装置的速度。 以这种方式，实际排出的材料的质量流量被驱动到期望的质量流量，在存在不可避免的设备和测量噪声的情况下以最小的误差方差。 使用随机控制器的自整定来准确地确定工厂噪声和测量噪声过程的参数，并对控制器进行控制动态补偿。 还采用反馈控制调谐来监控设定点误差，以便在保持平稳的稳态设定点控制的同时实现快速响应。

公开(公告)号：US4954975A

公开(公告)日：1990-09-04

申请号：US230415

申请日：1988-08-10

申请人： Paul R. Kalata

发明人： Paul R. Kalata

IPC分类号： G01G11/00 ,  G01G11/08 ,  G01G13/20 ,  G01G13/29 ,  G05D7/00

CPC分类号： G01G11/08

摘要： A weigh feeding system using a stochastic controller wherein the weight of material and the position of a material discharge actuator are sensed, and an estimate of the mass flow state of the material being discharged is created by use of a Kalman filter process. Plant noise processes and measurement noise processes, which affect the measured weight and actuator position signal, are modeled as stochastic processes and are used, in combination with the sensed weight and actuator position signals, to calculate the estimated mass flow state. The noise models are modified to account for disturbances. The estimated mass flow state signal is used to calculate a motor feedback signal which, in turn, is used to control the speed of the discharge apparatus. In this manner, the mass flow of the material actually being discharged is driven to a desired mass flow with minimum error variance in the presence of unavoidable plant and measurement noise. Self-tuning of the stochastic controller is employed to accurately determine parameters of the plant noise and measurement noise processes, and to compensate the controller for control dynamics. Feedback control tuning is also employed to monitor the set-point error in order to achieve quick response while maintaining smooth steady-state set point control.

摘要翻译： 一种使用随机控制器的称重馈送系统，其中感测材料的重量和材料排出致动器的位置，并且通过使用卡尔曼滤波器过程来产生正在排出的材料的质量流动状态的估计。 影响测量重量和致动器位置信号的工厂噪声过程和测量噪声过程被建模为随机过程，并与感测到的重量和致动器位置信号结合使用以计算估计的质量流量状态。 修改噪声模型以解决干扰。 估计的质量流量状态信号用于计算马达反馈信号，马达反馈信号又用于控制排放装置的速度。 以这种方式，实际排出的材料的质量流量被驱动到期望的质量流量，在存在不可避免的设备和测量噪声的情况下以最小的误差方差。 使用随机控制器的自整定来准确地确定工厂噪声和测量噪声过程的参数，并对控制器进行控制动态补偿。 还采用反馈控制调谐来监控设定点误差，以便在保持平稳的稳态设定点控制的同时实现快速响应。

公开(公告)号：US4775949A

公开(公告)日：1988-10-04

申请号：US879430

申请日：1986-06-27

申请人： Paul R. Kalata

发明人： Paul R. Kalata

IPC分类号： G01G11/08 ,  G01G13/00 ,  G01G13/16 ,  G01G13/24 ,  G01G13/285 ,  B67D5/14

CPC分类号： G01G13/247 ,  G01G11/08

摘要： A weigh feeding system using a stochastic controller wherein the weight of material is sensed, and an estimate of the mass flow state of the material being discharged is created by use of a Kalman filter process. Plant noise processes and measurement noise processes, which affect the measured weight signal, are modeled as stochastic processes and are used, in combination with the sensed weight signal, to calculate the estimated mass flow state. The noise model is modified to account for severe disturbances. The estimated mass flow state signal is used to calculate a motor feedback signal which, in turn, is used to control the speed of the discharge apparatus. In this manner, the mass flow of the material actually being discharged is driven to a desired mass flow with minimum error variance in the presence of unavoidable plant and measurement noise.

摘要翻译： 一种使用随机控制器的称重馈送系统，其中感测材料的重量，并且通过使用卡尔曼滤波器过程来产生被排出材料的质量流动状态的估计。 影响测量重量信号的植物噪声过程和测量噪声过程被建模为随机过程，并与感测到的重量信号结合使用以计算估计的质量流量状态。 修改噪声模型以解决严重干扰。 估计的质量流量状态信号用于计算马达反馈信号，马达反馈信号又用于控制排放装置的速度。 以这种方式，实际排出的材料的质量流量被驱动到期望的质量流量，在存在不可避免的设备和测量噪声的情况下以最小的误差方差。