DC Bus Harmonic Detection Using Quadrature Components
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Solution Overview
Problem
Current harmonic detection methods for direct-current bus voltage in frequency converters rely on complex calculations and large numbers of sampled signals, leading to high processor loads and configuration difficulties.
Innovation Solution
A method and apparatus for harmonic detection that acquires a ripple component, then a harmonic component, followed by a quadrature component, and finally calculates characteristic parameters including phase and voltage amplitude, using fewer sampled signals and simpler calculations to reduce processor load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If Fourier Transform method is used for harmonic detection, then measurement precision is improved, but device complexity increases and processor load becomes high
Solution Approach 1:
The patent segments the complex Fourier Transform calculation into simpler component operations. By decomposing the harmonic detection into separate frequency component calculations using basic trigonometric functions and reduced sampling, the system achieves the same detection precision without requiring complex computational infrastructure.
Solution Approach 2:
The patent replaces expensive, high-performance processors required for Fourier Transform with simpler, lower-cost processing units. By using a calculation method that requires fewer computational resources and can be executed on basic microcontrollers, the system achieves harmonic detection capability without needing sophisticated hardware.
2Measurement precision
If Fourier Transform method is used for harmonic detection, then measurement precision is improved, but productivity decreases due to high processor load
Solution Approach 1:
The patent applies partial action by using reduced sampling rates and simplified calculation formulas that compute only the necessary harmonic components rather than performing complete Fourier Transform. This partial computation approach maintains adequate detection precision while dramatically reducing processor load and improving processing efficiency.
Solution Approach 2:
The patent changes the computational parameters from full-spectrum Fourier Transform to targeted frequency component analysis. By adjusting the sampling rate and calculation depth to match the specific requirements of harmonic detection, the system achieves the needed precision with significantly reduced computational effort.
3Measurement precision
If Fourier Transform method is used for harmonic detection, then measurement precision is improved, but ease of operation worsens due to processor configuration difficulties
Solution Approach 1:
The patent enables the system to perform harmonic detection using built-in basic processing capabilities without requiring external high-performance processors or complex configuration. The simplified algorithm can be implemented in standard microcontrollers with default settings, making the system self-sufficient and easier to deploy.
Solution Approach 2:
The patent replaces difficult-to-configure high-performance processors with simple, readily available microcontrollers. The simplified calculation method is designed to run on basic hardware with standard configurations, eliminating the need for specialized processor setup and making the system easier to operate.
Data Source
AI summary
A method for harmonic detection includes: acquiring a ripple component of a direct-current bus voltage; acquiring a harmonic component of the direct-current bus voltage based on the ripple component; acquiring a quadrature component of the harmonic component based on the harmonic component; acquiring a characteristic parameter of the harmonic component based on the quadrature component, in which the characteristic parameter includes a phase; and acquiring and outputting a voltage amplitude of the harmonic component based on the quadrature component and the phase of the harmonic component.