Flight Control Sensor Reasonableness Monitoring for Source Selection
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Solution Overview
Problem
Aircraft systems face challenges in determining the most trustworthy status values from multiple sensors due to various failure modes, such as complete failures, erroneous reporting, and calibration drift, even with redundant sensors.
Innovation Solution
The implementation of a reasonableness monitor component within the flight control computer that calculates indices based on freshness, range, and rate of change of sensor data, and selects the most reasonable value using a source selection component to ensure accurate and reliable data processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If redundant sensors are employed to improve reliability, then the ability to determine trustworthy status values is improved, but the complexity of determining which sensor is reporting the best value increases
Solution Approach 1:
The patent transforms the complex qualitative assessment of sensor trustworthiness into quantitative parameter-based evaluation. It monitors specific parameters including freshness indicators (recency of data), range indicators (whether values are within expected bounds), and rate-of-change indicators (whether changes are physically plausible). By converting sensor evaluation into measurable parameter comparisons, the system resolves the contradiction between reliability improvement and complexity increase.
2Reliability
If multiple sensors are used to report status values, then the reliability of data is improved, but the difficulty of detecting and measuring which value is most reasonable increases
Solution Approach 1:
The system implements continuous feedback monitoring by constantly evaluating sensor readings against expected parameters and comparing multiple sensor outputs. The flight control computer receives ongoing status values from redundant sensors, evaluates them against freshness, range, and rate-of-change criteria, and dynamically selects the most reasonable value. This continuous feedback loop makes the detection and measurement of trustworthy data automatic and systematic rather than difficult and manual.
3Reliability
If sensor redundancy is implemented to handle failure modes, then system reliability is improved, but the complexity of data processing increases
Solution Approach 1:
The patent segments the complex task of sensor evaluation into three distinct, manageable components: freshness evaluation (how recent is the data), range evaluation (is the value within expected bounds), and rate-of-change evaluation (are changes physically plausible). By dividing the overall evaluation process into these segmented criteria, the system handles sensor redundancy and failure modes systematically without overwhelming processing complexity.
Data Source
AI summary
A flight control computer (FCC) has an index calculation component (ICC) configured to compare a reasonableness of at least a first value of a variable and a second value of the variable. A method of operating a flight control computer (FCC) includes providing an index calculation component (ICC) configured to compare a reasonableness of at least a first value of a variable and a second value of the variable.


