Anticipatory high frequency noise compensation in a distributed process control system
First Claim
1. A control system for use in a distributed process control network, the control system comprising:
- a controller that generates a controls signal based on measurements of at least one process variable, the process variable measurements being made at a first frequency;
a controlled device communicatively connected to the controller;
a measurement device communicatively connected to the controller, the measurement device adapted to collect measurements of the process variable at a second frequency greater than the first frequency and to provide measurements of the process variable at the first frequency to the controller;
a modeling routine stored in a memory and adapted to be executed on a processor, the modeling routine adapted to use the measurements of the process variables made at the second frequency to derive a noise model of the high frequency noise present within the process variable; and
a signal combiner communicatively connected to the controller and to the modeling routine that generates an adjusted control signal from the control signal and the noise model, the signal combiner being further communicatively connected to the controlled device to provide the adjusted control signal to the controlled device to reduce the high frequency noise present within the process variable.
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Abstract
A control system includes a measurement device capable of gathering high frequency process parameter data, a modeling routine which uses the high frequency parameter data to develop a model of the high frequency noise and a compensation routine that employs the developed model to adjust a control signal to thereby compensate for the high frequency noise present within the process parameter. The measurement device may measure a process variable at a relatively high frequency and send a subset of the measured data (e.g., the low frequency data) to a standard controller that generates a control signal to control the measured process parameter in any known manner. The modeling routine analyzes the high frequency data and develops a mathematical model of the high frequency noise within the process variable. The resulting mathematical model may then be used by the compensation routine to alter the standard control signal produced by the controller before that control signal is delivered to or used by the device being controlled.
14 Citations
31 Claims
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1. A control system for use in a distributed process control network, the control system comprising:
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a controller that generates a controls signal based on measurements of at least one process variable, the process variable measurements being made at a first frequency;
a controlled device communicatively connected to the controller;
a measurement device communicatively connected to the controller, the measurement device adapted to collect measurements of the process variable at a second frequency greater than the first frequency and to provide measurements of the process variable at the first frequency to the controller;
a modeling routine stored in a memory and adapted to be executed on a processor, the modeling routine adapted to use the measurements of the process variables made at the second frequency to derive a noise model of the high frequency noise present within the process variable; and
a signal combiner communicatively connected to the controller and to the modeling routine that generates an adjusted control signal from the control signal and the noise model, the signal combiner being further communicatively connected to the controlled device to provide the adjusted control signal to the controlled device to reduce the high frequency noise present within the process variable. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21)
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22. A method of reducing high frequency process variations within a process control system, the method comprising the steps of:
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generating a control signal in response to at least one process variable received at a first rate in a first device;
collecting measurement, away from the first device, of at least one process variable at a second rate greater than the first rate;
determining, away from the first device, a noise model based on the measurements of the at least one process variable captured at the second rate;
generating an adjusted control signal based on the control signal and the noise model, and using the adjusted control signal to reduce the high frequency noise within the process variable. - View Dependent Claims (23, 24, 25, 26, 27, 28, 29, 30, 31)
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Specification