Gyro Sensor Abnormality Detection via Signal Comparison
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Solution Overview
Problem
Existing inertia detection devices rely on estimated values to determine sensor abnormalities, which can be unreliable and require additional sensor data, making them less effective in real-time monitoring.
Innovation Solution
The use of a dual-gyro sensor setup with an inverted arrangement, where two gyro sensors with opposite sign yaw rate signals and equal magnitudes are used to detect abnormalities by comparing their output signals without relying on estimated values, allowing for effective removal of sensitivity errors and direct determination of sensor health.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If estimated values are used to determine sensor abnormalities, then sensor health can be monitored, but the reliability decreases and additional sensor data is required
Solution Approach 1:
The system segments the single sensor measurement into two complementary measurements from dual gyro sensors. By dividing the detection function across multiple sensors with opposite orientations, the system eliminates the need for complex estimation algorithms while improving reliability through direct comparison of opposing sensor outputs.
Solution Approach 2:
The patent applies inversion by arranging gyro sensors with opposite orientations (one detecting +yaw rate, the other detecting -yaw rate). This inverted configuration allows direct comparison of magnitudes and signs, enabling abnormality detection without estimation while canceling out common-mode errors through the opposing arrangement.
2Measurement precision
If dual-gyro sensor setup with inverted arrangement is used, then detection accuracy improves, but device complexity increases
Solution Approach 1:
The system uses asymmetric sensor arrangement where two gyro sensors are positioned with opposite orientations rather than identical configurations. This asymmetry in mounting orientation (one sensor detecting positive yaw, the other negative yaw) creates a natural error-cancellation mechanism that improves measurement precision while maintaining relatively simple hardware.
Data Source
AI summary
An inertia detection device includes one set of gyro sensors for detecting an angular velocity of a detection target object along a same direction, the gyro sensors arranged in a same physical quantity range, in which sensor movement is detectable as a same physical quantity. When an abnormality affecting an output signal of one of the gyro sensors is caused, based on an observation that a difference of magnitudes of the output signals from normal and abnormal gyro sensors is different from a difference of magnitudes of the output signals from two normal gyro sensors, such an abnormality of one of the gyro sensors is determinable by a comparison between the output signals, without using an estimated value thereof.