Disturbed Variable Measurement Using Period-Synchronous Averaging

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Solution Overview

Problem

Existing methods for measuring disturbed variables, such as currents or voltages, are prone to delays and instabilities due to periodic disturbances caused by control signals, leading to undesirable signal peaks and reduced sensitivity.

Innovation Solution

The approach involves digitizing the disturbed signal with a multibit sampling frequency and averaging over a period duration or its integer multiple, allowing for reduced delay by starting averaging with a time offset, thereby minimizing the impact of periodic disturbances.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional measurement methods are used to measure disturbed variables, then the measurement can be performed, but the measurement is subject to periodic disturbances and peaks causing delays and instabilities

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidcontrol loop stability
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent applies periodic action by using a moving average filter that processes samples at a frequency synchronized with the periodic disturbance. The filter calculates averages over periods matching the disturbance frequency, effectively filtering out periodic components while maintaining accurate measurement of the underlying variable. This resolves the contradiction by making the measurement process periodic and synchronized with the disturbance, thereby achieving both accuracy and stability.

Inventive Principle:
Principle #19Periodic action

2Measurement precision

If averaging is performed over the disturbance period to reduce periodic disturbances, then the measurement accuracy improves, but the delay in measurement output increases

Engineering Contradiction:
Improvesignal accuracyVSAvoidmeasurement delay
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent implements preliminary action by pre-calculating and storing multiple averaged values at different time offsets before they are needed for control decisions. The filter maintains a buffer of pre-computed averages, allowing the system to retrieve the most relevant average without performing the full averaging calculation at the moment of need. This reduces measurement delay while maintaining accuracy.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies dynamics by making the averaging window adaptive rather than fixed. The filter dynamically adjusts its operation based on the specific disturbance characteristics and timing requirements of the application. By allowing the averaging process to be flexible in its timing and duration, the system can optimize between accuracy and delay depending on real-time conditions.

Inventive Principle:
Principle #15Dynamics

3Speed

If the measurement frequency is increased to reduce delay, then the responsiveness improves, but the sensitivity to periodic disturbances increases

Engineering Contradiction:
Improveresponse speedVSAvoiddisturbance filtering
Core Design Contradiction:
SpeedVSMeasurement precision

Solution Approach 1:

The patent implements feedback by using the output of the moving average filter to inform subsequent measurement and control decisions. The filtered measurement values are fed back into the control system, creating a closed-loop measurement process that continuously refines the measurement quality. This feedback mechanism allows the system to maintain high response speed while systematically reducing sensitivity to periodic disturbances through iterative filtering.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS10048297B2Method and apparatus for measuring a disturbed variable
Publication Date: 2018.08.14 INFINEON TECHNOLOGIES AG
  • US10048297B2 patent drawing
  • US10048297B2 patent drawing
  • US10048297B2 patent drawing

AI summary

Provided are apparatuses and methods, in which a disturbed measurement variable is converted to a digital signal. The digital signal is then averaged over a number of sampling values which corresponds to a period of the disturbances.