Vector Position Sensor Error Correction via Integral Control
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Solution Overview
Problem
Vector-based position sensors in rotary devices often produce raw sine and cosine signals with amplitude and orthogonality errors due to sensing and transmission imperfections, affecting the control and accuracy of rotary devices like electric machine rotors.
Innovation Solution
An input signal-driven method using integral control loops and predetermined trigonometric relationships to correct amplitude and orthogonality errors in raw sine and cosine signals, generating corrected signals for precise control of rotary devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If vector-based position sensors are used to determine angular position, then position information is obtained, but amplitude and orthogonality errors occur in the raw sine and cosine signals
Solution Approach 1:
The patent implements feedback by using the raw sine and cosine signals themselves to generate error signals that are fed back through integral control loops. The controller continuously monitors the signal quality and automatically adjusts correction factors to eliminate amplitude and orthogonality errors, creating a self-correcting system that maintains high measurement precision while compensating for sensor imperfections.
Solution Approach 2:
The patent changes the parameters of the raw signals by applying correction factors to adjust amplitude and phase. Through trigonometric relationships and integral control, the system dynamically modifies signal parameters to eliminate errors, transforming defective raw signals into corrected signals with improved reliability while preserving the original position information.
2Measurement precision
If integral control loops with trigonometric relationships are applied to correct signals, then signal accuracy is improved, but system complexity increases
Solution Approach 1:
The controller performs self-service by using its own input signals (raw sine and cosine) to generate the correction mechanisms. The system automatically extracts error information from the signals and applies corrections without requiring external calibration or additional sensing hardware, thereby improving signal accuracy while limiting complexity growth through self-contained error correction.
Solution Approach 2:
The patent applies preliminary action by pre-calculating correction factors using trigonometric relationships before the corrected signals are used for control. The integral control loops continuously prepare correction terms in advance, ensuring that accurate corrected signals are always available for position determination and control actions, thus improving precision while organizing complexity in a structured manner.
Data Source
AI summary
A system includes a rotary device, a vector-based position sensor outputting raw sine and cosine signals indicative of an angular position of the rotary device, and a controller. The controller executes a method by receiving the raw sine and cosine signals from the sensor, generating corrected sine and cosine signals by applying an amplitude error input signal to a first integrator block using a first predetermined trigonometric relationship, and executing a control action for the rotary device via output signals using the corrected signals. The first predetermined trigonometric relationship is SC2−CC2, with SC and CC being the respective corrected sine and cosine signals. The controller may use a second predetermined trigonometric relationship, SC·CC, to apply an orthogonality error input signal to a second integrator block.