Vehicle Yaw Sensor Platform with Active Rotation for Error Compensation
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Solution Overview
Problem
Existing direction sensors, such as gyroscopes, are prone to measurement errors due to scale factor and bias errors, which can change over time and are difficult to calibrate, especially in environments like vehicles where calibration processes are time-consuming and costly.
Innovation Solution
A vehicle system with a rotating platform and actuator, controlled by a controller that adjusts the platform's rotation direction and rate based on yaw sensor data to mitigate measurement errors, allowing for continuous calibration without removing the sensor and incorporating additional sensors for pitch and roll to account for vehicle dynamics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a direction sensor such as a gyroscope is used to measure direction or orientation, then the sensor can provide rate measurements of change in direction, but the sensor is prone to measurement errors due to scale factor and bias errors that change over time
Solution Approach 1:
The system uses a feedback mechanism where the controller continuously receives yaw rate measurements from the gyroscope and automatically rotates the platform in the opposite direction at the measured rate. This closed-loop feedback eliminates scale factor and bias errors by maintaining the sensor in a stable reference frame, thereby improving both measurement precision and reliability over time
Solution Approach 2:
The system performs self-calibration by using the gyroscope's own measurements to drive the platform rotation. The gyroscope measures its own rate of change, and this measurement is used to automatically compensate for drift and errors, allowing the sensor to self-correct without external calibration equipment or manual intervention
2Measurement precision
If calibration processes are performed to correct sensor errors, then measurement accuracy can be improved, but the calibration processes are time-consuming and costly, especially in vehicle environments
Solution Approach 1:
The system performs continuous calibration by constantly rotating the platform based on real-time gyroscope measurements. This ongoing calibration process eliminates the need for periodic manual calibration sessions, maintaining measurement accuracy throughout operation without time loss or interruption to vehicle use
Solution Approach 2:
The calibration process is automated and performed by the system itself using its own sensor measurements. The controller executes the calibration algorithm continuously without requiring external calibration equipment, technical personnel, or removal of the sensor, making the process instantaneous and eliminating calibration time loss
3Measurement precision
If the platform is rotated to compensate for sensor drift, then scale factor errors can be reduced and calibration improved, but the system complexity increases with additional actuators and controllers
Solution Approach 1:
The rotating platform serves multiple functions: it provides mechanical support for the sensor, enables calibration through controlled rotation, and maintains the sensor in a stable reference frame during vehicle operation. This multi-functionality reduces the need for separate calibration mechanisms, offsetting the added complexity with operational efficiency
Solution Approach 2:
The calibration function is merged with the sensor mounting structure by integrating the platform rotation mechanism directly into the sensor support system. This consolidation combines what could be separate systems (sensor mount and calibration device) into a single integrated unit, reducing overall system complexity while maintaining calibration capability
4Measurement precision
If additional sensors for pitch and roll are added to account for vehicle dynamics, then direction estimation accuracy is improved, but the device complexity and cost increase
Solution Approach 1:
The system separates the calibration function from the measurement function by using a dedicated rotating platform for calibration while the gyroscope focuses on direction measurement. This segmentation allows each component to be optimized for its specific purpose, reducing overall system complexity despite adding the platform mechanism
Solution Approach 2:
The rotating platform can accommodate multiple sensors (yaw, pitch, roll) and serves both as a mounting structure and a calibration mechanism. This multi-functionality allows the system to handle multiple sensor types and calibration needs with a single mechanism, offsetting the complexity increase from additional sensors
Data Source
AI summary
In one example, a vehicle includes a platform and a yaw sensor mounted on the platform. The yaw sensor provides an indication of a yaw rate of rotation of the yaw sensor. The vehicle also includes an actuator that rotates the platform. The vehicle also includes a controller coupled to the yaw sensor and the actuator. The controller receives the indication of the yaw rate from the yaw sensor. The controller also causes the actuator to rotate the platform (i) along a direction of rotation opposite to a direction of the rotation of the yaw sensor and (ii) at a rate of rotation based on the yaw rate of the yaw sensor. The controller also estimates a direction of motion of the vehicle in an environment of the vehicle based on at least the rate of rotation of the platform.