Torque Sensor Signal Filtering Against High-Frequency Interference
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing torque measurement methods are susceptible to external high-frequency interference, which can cause output signals to exceed tolerance bands, compromising measurement accuracy and robustness.
Innovation Solution
A method for measuring torque that involves digitizing the analog signal from a torque sensor and applying digital low-pass filtering, which significantly reduces the impact of high-frequency interference and enhances electromagnetic compatibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If analog low-pass filtering is used, then high-frequency interference is reduced, but electromagnetic compatibility and measurement robustness are compromised
Solution Approach 1:
The patent replaces the mechanical/analog filtering system with a digital filtering system. The analog signal from the torque sensor is converted to digital form through an A/D converter, and then digital low-pass filtering is applied to the digitized signal. This substitution of digital processing for analog filtering eliminates the susceptibility to electromagnetic interference that plagues analog systems, while maintaining effective high-frequency noise reduction.
2Measurement precision
If digital low-pass filtering is applied, then measurement accuracy and electromagnetic compatibility are improved, but device complexity increases
Solution Approach 1:
The patent replaces complex analog filtering circuitry with digital filtering algorithms implemented in software or firmware. The A/D converter digitizes the torque sensor signal, and standard digital low-pass filtering techniques are applied to the digital data stream. This approach simplifies the hardware design while improving measurement accuracy and electromagnetic compatibility.
Solution Approach 2:
The patent changes the filtering parameters dynamically or adaptively to optimize performance for different operating conditions. By adjusting the cutoff frequency and filter order based on the actual signal characteristics and interference levels, the system maintains high measurement accuracy without requiring overly complex fixed-parameter filtering hardware.
3Ease of manufacture
If analog signal processing is used, then equipment cost is reduced, but susceptibility to electromagnetic interference increases
Solution Approach 1:
The patent replaces analog signal processing with digital signal processing to eliminate electromagnetic interference susceptibility. The torque sensor output is converted to digital form early in the signal chain, and all subsequent filtering and processing is performed digitally. This substitution incurs minimal additional cost given modern ADC technology while providing complete immunity to electromagnetic interference in the digital domain.
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 digital low-pass filtering approach effectively eliminates high-frequency interference, making the torque measurement more robust and accurate, while also optimizing electromagnetic compatibility and reducing equipment costs.
Implementation Method 1
the underlying measuring principle is correctly referred to as the inverse magnetostrictive effect. A coil or a semiconductor sensor can be used as a sensor that detects the change in magnetic properties.
Implementation Method 2
This analog signal is first digitized and then further processed as a digital signal, wherein the digital further processing includes a filtering with a low-pass characteristic.
Data Source
AI summary
A method for measuring torque includes low-pass filtering of a signal supplied by a torque sensor, an analog signal supplied by the torque sensor being first digitized and then processed and forwarded as a digital signal having low-pass characteristics.
