Dynamic Filter for Steer-by-Wire Torsion Bar Noise Reduction
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Solution Overview
Problem
Steer-by-wire steering systems face challenges in reducing noise without introducing significant phase delay, which degrades system stability, especially when dealing with noisy signals.
Innovation Solution
A filter method that dynamically selects from multiple predefined filter properties based on input signal characteristics, allowing for noise reduction while limiting phase delay and maintaining filter error within defined limits, using first, second, and third filter properties to operate in different scenarios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If a low-pass filter is used to reduce noise, then noise levels are reduced, but phase delay increases
Solution Approach 1:
The patent applies dynamics by making the filter characteristic adaptable rather than fixed. The filter automatically switches between different filter types (low-pass, high-pass, band-pass, or no filtering) based on real-time detection of signal characteristics, allowing the system to optimize between noise reduction and phase delay for different operating conditions
Solution Approach 2:
The patent changes the filter parameter dynamically based on signal properties. By detecting whether the signal is stationary or changing and determining the noise band width, the system adjusts the filter characteristic accordingly - using stronger filtering when noise is present and weaker filtering when signal dynamics require responsiveness
2Object-affected harmful factors
If filtering strength is increased to reduce noise, then noise reduction improves, but filter error increases
Solution Approach 1:
The patent dynamically adjusts the filter strength parameter based on detected signal characteristics. When the signal is identified as stationary within a noise band, stronger filtering is applied. When the signal shows changes exceeding the noise band width, filtering strength is reduced to minimize filter error and maintain measurement precision
3Device complexity
If a fixed filter property is used, then device complexity is reduced, but adaptability to different signal conditions deteriorates
Solution Approach 1:
The system performs self-service by automatically detecting signal characteristics and selecting appropriate filter properties without external intervention. The detection unit continuously monitors signal behavior, and the selection unit autonomously chooses the optimal filter characteristic, eliminating the need for manual configuration while adapting to varying conditions
Solution Approach 2:
The filter configuration transitions from static to dynamic by automatically adapting based on real-time signal analysis. The system detects whether signals are stationary or changing and switches filter properties accordingly, providing adaptability while maintaining relatively simple device architecture through automated decision-making
Data Source
AI summary
In a device and method for determining a filter output variable of a filter, in particular of a filter for filtering a torsion bar moment of a steer-by-wire steering system of a vehicle, as a function of a filter input variable to be filtered, a predefined filter property of the filter is selected from a plurality of predefined filter properties depending on an input signal characteristic of the filter input variable. The input signal characteristic is determined depending on the filter input variable at a current point in time and at least one previous point in time, and the filter output variable of the filter is determined using the filter property.