Rotation Angle Detection Correction via Linear Interpolation
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Solution Overview
Problem
Conventional rotation angle detection apparatuses face challenges in correcting actual output values due to nonlinearity issues, especially when output waveforms are unclear, leading to errors in rotation angle measurement.
Innovation Solution
A physical quantity detection apparatus comprising a signal output section, a correction value calculation section, and a processing section that uses linear function interpolation to calculate correction values, allowing for accurate correction of actual output values regardless of the output waveform, and includes a maximum absolute value calculation process to determine defectiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional correction methods (constant intervals or arcsine function) are used, then the correction process is simple, but the measurement precision deteriorates when output waveforms are unclear
Solution Approach 1:
The patent implements an iterative correction process where the correction values are calculated based on the actual output values, and the correction is applied repeatedly until the error falls within a predetermined range. This feedback mechanism allows the system to adapt to unclear output waveforms and achieve accurate correction without requiring complex predefined correction curves.
Solution Approach 2:
The patent changes the correction approach from using fixed correction curves or functions to dynamically calculating correction values based on actual measured output values. The correction values are determined by comparing actual output values with expected values and adjusting accordingly, allowing the system to handle various output waveform characteristics.
2Measurement precision
If linear function interpolation is used to calculate correction values, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent performs preliminary calculations by storing expected output values and correction values in memory before actual measurement. During operation, the system retrieves these pre-stored values and applies linear interpolation to calculate correction values, reducing the computational complexity during actual measurement while maintaining high precision.
Solution Approach 2:
The patent creates a copy of the correction process by pre-calculating and storing correction values in memory. Instead of performing complex real-time calculations, the system uses stored correction data and applies linear interpolation, effectively copying the correction logic into a simpler, more efficient form that reduces device complexity.
3Measurement precision
If repeated maximum absolute value calculations are performed to ensure accuracy, then the measurement precision improves, but the processing time increases
Solution Approach 1:
The patent uses a feedback-based iterative correction process where correction values are calculated and applied repeatedly until the error falls within a predetermined range. This allows the system to achieve high precision correction while controlling processing time by stopping the iteration once the accuracy threshold is met, rather than performing a fixed number of calculations.
Solution Approach 2:
The patent implements a dynamic correction process where the number of iteration steps adjusts based on the actual error magnitude. The system continues correcting until the error is sufficiently small, making the processing time flexible and adaptive rather than fixed, thereby optimizing the balance between precision and time consumption.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The apparatus effectively corrects actual output values with high accuracy, reducing linearity errors and enabling the identification of defective units by repeatedly calculating maximum absolute values until target error thresholds are met.
Implementation Method 1
a magnetic flux density detection section, such as a Hall element
Data Source
AI summary
A physical quantity detection apparatus includes a signal output section, a correction value calculation section, and a processing section. The signal output section outputs signals in accordance with a change in physical quantity of a detected object. The correction value calculation section calculates a correction value. The processing section corrects values based on actual output values of the signal output section with the correction value, calculates physical quantities of the detected object based on corrected values, and outputs calculated physical quantities. The correction value calculation section calculates the correction value based on primary error amounts that are differences between post-interpolation actual output values calculated by executing a linear function interpolation process to the values based on the actual output values within a predetermined physical quantity range and the values based on the actual output values corresponding to the post-interpolation actual output values.