Field Device Digital Filter Coefficient Calculation
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Solution Overview
Problem
Current methods for implementing custom digital filters in process control systems are cumbersome and prone to errors, requiring manual calculation and entry of coefficients, making it impractical for dynamic changes in filter characteristics, especially in real-time process conditions.
Innovation Solution
Implementing a digital filter design algorithm, such as the Parks-McClellan algorithm, within a process control field device or equipment, where filter design parameters can be exposed via an interface and calculated automatically, allowing for dynamic updates of filter coefficients based on process conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual calculation and entry of filter coefficients is used, then implementation of custom digital filters is possible, but the process is cumbersome and prone to errors
Solution Approach 1:
The field device performs self-configuration by automatically calculating filter coefficients based on process variables and filter specifications, eliminating the need for manual coefficient calculation and entry. The device serves itself by integrating the filter design algorithm internally, allowing it to generate and apply filter coefficients autonomously.
Solution Approach 2:
The manual mechanical process of calculating and entering coefficients is replaced by an automated computational system. The field device uses embedded processing power to execute filter design algorithms, substituting human operators with automated electronic computation to generate and apply filter coefficients.
2Adaptability or versatility
If manual calculation and entry of filter coefficients is used, then custom digital filters can be implemented, but dynamic changes in filter characteristics become impractical
Solution Approach 1:
The filter characteristics are made dynamic by enabling real-time adjustment of filter parameters based on changing process conditions. The field device continuously monitors process variables and automatically recalculates filter coefficients as needed, allowing the filter to adapt dynamically without manual intervention.
Solution Approach 2:
The field device pre-configures itself with the necessary filter design algorithms and computational capabilities, so when dynamic changes are needed, the coefficients can be recalculated immediately using available process data, eliminating the time loss associated with manual reconfiguration.
3Ease of manufacture
If filter coefficients are manually entered, then implementation is possible, but errors are prone and manual effort is high
Solution Approach 1:
The field device performs self-configuration by automatically calculating filter coefficients based on process variables and filter specifications, eliminating the need for manual coefficient calculation and entry. The device serves itself by integrating the filter design algorithm internally, allowing it to generate and apply filter coefficients autonomously.
Solution Approach 2:
The manual mechanical process of calculating and entering coefficients is replaced by an automated computational system. The field device uses embedded processing power to execute filter design algorithms, substituting human operators with automated electronic computation to generate and apply filter coefficients.
Data Source
AI summary
A digital filter design algorithm is implemented directly within a process control field device or other process related equipment. Filter design parameters are exposed so that filter design parameter values may be provided to the digital filter design algorithm so that the digital filter design algorithm may calculate digital filter coefficients for a digital filter having desired frequency response characteristics. The digital filter design parameter values may be provided by a user, or may be provided as process variable data output from a process control field device or other process related equipment. Once the coefficients of the digital filter having the desired frequency response characteristics have been calculated, the digital filter may be applied to process variable data received by the process control field device or other process related equipment.


