Semiconductor Device Resolver Signal Error Detection
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Solution Overview
Problem
Resolver signals in motor control systems are susceptible to noise, leading to inaccurate real-time error detection.
Innovation Solution
A semiconductor device that converts resolver signals from the time-domain to the frequency-domain using a domain converter and analyzes the spectrum with a spectrum analyzer, allowing for accurate error detection by identifying peak frequencies and phase differences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If real-time error detection is performed on resolver signals, then error detection speed is improved, but detection accuracy deteriorates due to noise susceptibility
Solution Approach 1:
The patent transforms the error detection approach from the time domain to the frequency domain using Fast Fourier Transform (FFT). This dimensional change allows the system to analyze signal characteristics at different frequencies, separating the fundamental resolver signal from noise components. By examining the frequency spectrum rather than raw time-domain signals, the system achieves both rapid error detection and high accuracy by identifying frequency-based error indicators that are obscured by noise in the time domain.
2Measurement precision
If frequency-domain analysis is implemented, then error detection accuracy is improved, but device complexity increases
Solution Approach 1:
The patent replaces complex analog signal processing circuits with digital signal processing algorithms. Instead of using multiple analog filters, amplifiers, and comparators to achieve frequency-domain analysis, the system uses a microcontroller or digital signal processor to perform Fast Fourier Transform on digitized resolver signals. This substitution of mechanical/analog systems with digital processing achieves the same error detection accuracy with significantly reduced circuit complexity and smaller chip area.
3Measurement precision
If noise suppression is enhanced, then error detection accuracy is improved, but processing time increases
Solution Approach 1:
The patent performs preliminary noise suppression by transforming the signal to the frequency domain and identifying the fundamental frequency components before error analysis. The FFT algorithm separates the signal into frequency components, allowing the system to focus analysis only on the relevant frequency bands and ignore noise in other bands. This preliminary frequency-based filtering reduces the amount of data requiring detailed error analysis, thereby maintaining high accuracy while minimizing processing time.
Data Source
AI summary
According to semiconductor device includes a domain converter for converting a digitized resolver signal from a time-domain to a frequency-domain, a spectrum analyzer for analyzing a spectrum of the resolver signal converted to a frequency-domain by the domain converter, and an error detector for detecting an error related to the resolver signal based on an output signal from the spectrum analyzer.