Digital Model Resetting for Sensor Lag Compensation
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Solution Overview
Problem
Existing methods for compensating the lag effect in sensor measurements, such as those described in Document U.S. Pat. No. 5,080,496 and WO 2010/067009, often lead to errors in temperature measurement during mechanical transients due to varying sensor time constants, making it difficult to achieve accurate and stable readings.
Innovation Solution
A method for resetting a basic digital model by detecting a stable state of a sensor signal, subdividing the domain of possible values for a second parameter into ranges, calculating local resetting values, and interpolating to obtain a resetting parameter, which is used to correct the model and mitigate the lag effect, particularly in the context of turbojet temperature measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a filter with a fixed time constant is used to compensate sensor inertia, then the lag effect is mitigated, but the method becomes difficult to apply when the time constant varies with environment or between sensors
Solution Approach 1:
The patent implements a dynamic resetting mechanism where the digital model is automatically reset when the sensor signal reaches a stable state, allowing the system to adapt to varying time constants without requiring manual reconfiguration or fixed parameters. This dynamic approach enables the system to handle environmental variations and sensor-specific characteristics automatically.
Solution Approach 2:
The system changes the operational state of the digital model by resetting it based on detected stable states of the sensor signal. This parameter change allows the model to adapt to different time constants and environmental conditions, transforming a static compensation approach into a dynamic one that adjusts to varying conditions.
2Measurement precision
If a digital model is used to correct temperature measurements, then the lag effect is compensated, but errors in the model cause overestimation or underestimation of temperature variation during mechanical transients
Solution Approach 1:
The system performs a preliminary detection of the stable state of the sensor signal before using it to update the digital model. This preliminary action ensures that the model is only reset when the measurement is reliable and stable, preventing erroneous updates during transient states and improving the accuracy of temperature variation measurements.
Solution Approach 2:
The system implements a feedback mechanism where the stable state of the sensor signal is detected and used to trigger model resetting. This feedback loop ensures that the digital model continuously adapts to current operating conditions, maintaining measurement precision while avoiding errors during mechanical transients.
3Measurement precision
If the digital model is reset frequently to correct drift, then measurement accuracy is maintained, but system complexity increases
Solution Approach 1:
The system implements a self-service mechanism where the digital model automatically detects its own stable states and triggers resetting without external intervention. This self-service approach maintains measurement accuracy while minimizing system complexity by eliminating the need for complex external control mechanisms.
Solution Approach 2:
The automatic detection of stable states provides feedback that triggers model resetting only when necessary. This feedback-based approach maintains measurement precision while avoiding unnecessary resetting operations, thereby keeping the system complexity manageable.
Data Source
AI summary
Resetting a basic digital model includes a step of detecting a stable state of at least one first parameter of the model, the first parameter being representative of a signal delivered by a sensor; a step of obtaining a resetting parameter for the model, during the stable state of the first parameter as a function of the first parameter, of a second parameter of the model, and of the basic digital model; and a step of obtaining a reset model from the basic digital model and the resetting parameter.