Aircraft Angular Position Estimation via Voting Algorithm
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Solution Overview
Problem
Existing solutions for accurately sensing the angular position of rotating shafts in aircraft do not provide reliable data, which is crucial for maintaining aircraft integrity during flight.
Innovation Solution
A system comprising three electromagnetic effect sensors and a flight controller that performs a voting algorithm to determine active and admissible data from the sensors, generating an output datum to enhance the accuracy of angular position estimation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple electromagnetic effect sensors are used to sense angular position, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system divides the sensing function into multiple independent electromagnetic effect sensors (at least three sensors) that each measure angular position separately. Each sensor operates independently and provides individual measurements that are then processed collectively through a voting algorithm to achieve high-precision angular position estimation while maintaining modular sensor architecture
Solution Approach 2:
A voting algorithm is introduced as an intermediary processing layer between the multiple sensors and the final output. The flight controller executes the voting algorithm to evaluate sensor data, determine active and admissible datums, and generate a consolidated output datum. This intermediary process resolves the complexity of multiple sensors by providing a systematic method for data integration and validation
2Reliability
If a voting algorithm is implemented to filter sensor data, then reliability is improved, but device complexity increases
Solution Approach 1:
The sensor system performs self-validation through the voting algorithm, which automatically evaluates the consistency and validity of sensor measurements. The system determines whether each sensor datum is active and admissible based on predefined criteria, enabling the system to self-correct and self-validate without external intervention, thereby improving reliability while keeping the processing logic integrated within the flight controller
Solution Approach 2:
The voting algorithm provides feedback mechanisms by evaluating sensor readings against expected ranges and consistency criteria. The system determines active and admissible datums based on feedback from multiple sensor inputs, and the flight controller uses this feedback to generate reliable output data. This feedback loop ensures that only valid sensor measurements are used, improving overall system reliability
Data Source
AI summary
A system for estimating the angular position of a rotating shaft in an aircraft, the system including at least three electromagnetic effect sensors. The system including a flight controller that runs a voting algorithm, wherein the voting algorithm computes an output datum based on shaft position datum that qualify as both active and admissible. Furthermore, system may include, as a component of the voting algorithm, a banning process where sensors that repeatedly return datum that are either not active or not admissible can be banned.