Resolver Signal Phase Compensation via Lissajous Pattern Recognition
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Solution Overview
Problem
Electric vehicles equipped with permanent magnet synchronous motors face performance degradation due to phase changes in resolver sensor signals, leading to delays and magnitude changes in output signals, which affect motor control accuracy.
Innovation Solution
A signal processing apparatus that detects phase differences between input signals, compensates for errors using a Lissajous figure-based pattern recognition and normalization, and verifies the compensation to improve signal accuracy and motor control efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a sine wave excitation signal is applied to the stator, then the resolver sensor can detect rotor position, but there occurs a delay and phase change between excitation and output signals, degrading motor control performance
Solution Approach 1:
The patent implements feedback by detecting the phase difference between the excitation signal and output signals, then using this detected phase difference to compensate for the phase shift. The signal processing unit continuously monitors the phase relationship and adjusts the excitation signal timing based on the detected error, creating a closed-loop system that maintains accurate rotor position detection despite the inherent phase delay in the resolver sensor.
2Manufacturing precision
If the phase difference between signals is not compensated, then the system structure remains simple, but the motor control accuracy is degraded
Solution Approach 1:
The patent introduces an intermediary signal processing unit that acts as a mediator between the resolver sensor and the motor control system. This unit detects phase differences and generates compensation signals without requiring fundamental changes to the resolver sensor or motor structure. The intermediary processing layer isolates the complexity of phase compensation from both the sensor and motor control components, maintaining overall system simplicity while achieving accurate control.
3Measurement precision
If signal magnitude changes are not normalized, then the processing is simpler, but the phase difference detection accuracy is reduced
Solution Approach 1:
The patent applies parameter changes by normalizing the magnitude of output signals to a standard reference value before phase difference detection. This transformation converts signals with varying magnitudes into a consistent format, allowing accurate phase comparison. The normalization process adjusts signal amplitude parameters without altering the fundamental phase information, enabling precise phase measurement while maintaining processing efficiency through systematic parameter standardization.
Data Source
AI summary
A signal processing apparatus detects a phase difference between two signals by applying the Lissajous figure and compensates for an error between the signals by recognizing a pattern, thereby easily detecting the phase difference between the signals.