Multi-Phase Signal Processing for Temperature-Stable Angle Sensing
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Solution Overview
Problem
Existing position estimation methods using magnetic sensors for motor rotation angles face challenges in achieving high accuracy, particularly due to temperature changes affecting sensor output.
Innovation Solution
A signal generation device and method utilizing N sensors to output N phase signals, with a signal processing unit that performs specific calculations to transform and normalize phase vectors, improving estimation accuracy and compensating for temperature variations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If three magnetic sensors are used for position estimation, then cost and size are reduced, but measurement precision is insufficient for high-accuracy applications
Solution Approach 1:
The patent segments the signal processing into multiple distinct steps: calculating N-phase complex vectors from sensor outputs, transforming to positive-sequence vectors, normalizing to eliminate amplitude variations, and inversely transforming to obtain corrected N-phase signals. This segmentation allows each processing step to address specific error sources independently, achieving high precision with simple sensors
Solution Approach 2:
The patent changes the parameter representation from raw sensor voltages to normalized complex vectors. By transforming the signal domain and normalizing with the norm of positive-sequence vectors, the system compensates for temperature-induced amplitude changes and offset errors, maintaining measurement precision across varying conditions
2Device complexity
If simple magnetic sensors are used instead of absolute angle position sensors, then device complexity is reduced, but measurement precision deteriorates under temperature variations
Solution Approach 1:
The patent replaces complex mechanical absolute angle position sensors with simple magnetic sensors combined with mathematical signal processing. The complex processing algorithm substitutes for the complex sensor hardware, achieving high precision through computation rather than through sophisticated sensor design
Solution Approach 2:
The patent transforms the raw sensor parameters through a series of mathematical operations including complex vector calculation, positive-sequence transformation, and normalization. These parameter changes compensate for temperature effects and sensor imperfections, maintaining measurement precision without requiring complex sensor hardware
Data Source
AI summary
One aspect of a signal generation device of the present invention includes N sensors that output N phase signals (N is a multiple of three) according to a rotation angle of a rotating body, and a signal processing unit that processes the N phase signal. The signal processing unit executes first processing of calculating a first N phase complex vector based on the N phase signals, second processing of transforming the first N phase complex vector into a first positive phase vector, third processing of calculating a second positive phase vector by normalizing, with a norm of the first positive phase vector, a real axis component and an imaginary axis component of the first positive phase vector obtained in the second processing, and fourth processing of inversely transforming the second positive phase vector obtained in the third processing into a second N phase complex vector.