Numerical Control Filtering for Noisy Gap Sensor Distance Signals
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Solution Overview
Problem
Numerical control devices are susceptible to noise interference during distance measurement due to nonlinear output characteristics of gap sensors, leading to potential machine vibrations.
Innovation Solution
A numerical control device with a distance control unit, filter unit, and determination unit that adjusts a first-order lag filter's time constant based on target displacement to reduce noise influence.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a gap sensor is used for distance measurement, then distance measurement capability is provided, but noise interference occurs due to nonlinear output characteristics
Solution Approach 1:
The patent changes the parameter of the filter (time constant) based on the measured distance to adapt to the nonlinear characteristics of the gap sensor. By adjusting the time constant parameter according to the distance region, the system optimizes noise filtering effectiveness while maintaining measurement capability across different distance ranges.
Solution Approach 2:
The patent implements dynamic adjustment of the filter time constant based on the current distance measurement. Instead of using a fixed filter parameter, the system continuously adapts the filtering characteristics to match the current operating conditions, thereby optimizing noise rejection dynamically across different measurement ranges.
2Measurement precision
If distance measurement is performed in a region with large slope characteristics, then measurement sensitivity is improved, but noise influence increases
Solution Approach 1:
The patent adjusts the filter time constant parameter based on the slope characteristics of the gap sensor at different distance regions. In regions with large slope where noise influence is problematic, the system modifies the filter parameter to enhance noise rejection while preserving the high sensitivity advantage of those measurement regions.
3Device complexity
If a fixed filter time constant is used, then device complexity is reduced, but noise filtering effectiveness deteriorates
Solution Approach 1:
The patent implements dynamic parameter adjustment of the filter time constant based on distance measurement results. This approach improves noise filtering effectiveness by adapting the filter characteristics to current operating conditions, while the adjustment logic is implemented through software or control algorithms that do not significantly increase hardware complexity.
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 solution effectively minimizes noise impact on distance measurement, maintaining stable machine operation by using a time constant proportional to the sensor's slope, thereby reducing vibrations.
Implementation Method 1
a filter unit that applies a first-order lag filter to a signal indicating the distance; a determination unit that determines a time constant based on a target distance
Data Source
AI summary
This numerical control device comprises a distance control unit, a filter unit, a determination unit, and a setting unit. The distance control unit controls the distance between a first object and a second object to be close to a target distance. The filter unit filters a signal indicating the distance. The determination unit determines, on the basis of the target distance, a time constant obtained from the relationship between the distance and an output signal from a distance sensor that measures the distance. The setting unit sets a time constant of the filter to the time constant determined by the determination unit.