Dynamic Filter for LED Dimmer Noise Reduction
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Solution Overview
Problem
Traditional light dimmers produce electrical noise that causes flickering in LED lighting systems, and existing filters are either ineffective or computationally expensive, leading to sluggish responses.
Innovation Solution
A dynamic filter system that adjusts its depth in response to dimmer adjustments, using a memory-and-processor-efficient method to generate a control signal for power supplies, effectively reducing noise and ensuring stable LED lighting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional filters are used to reduce noise, then noise reduction is achieved, but the system becomes sluggish and unresponsive
Solution Approach 1:
The patent implements a dynamic filter whose depth is continuously adjusted based on the current dimmer level. At lower dimmer levels where noise is more problematic, the filter depth increases to provide stronger noise reduction. At higher dimmer levels, the filter depth decreases to maintain faster response speed. This dynamic adaptation resolves the contradiction between noise reduction and response speed by making the filtering strength context-dependent rather than fixed.
2Reliability
If deep filtering is applied to reduce noise, then noise reduction improves, but processing requirements and memory usage increase
Solution Approach 1:
The system dynamically adjusts filter depth based on operational conditions (dimmer level), applying deep filtering only when necessary. This prevents excessive processing requirements and memory usage during normal operation while maintaining effective noise reduction when needed, thus resolving the contradiction between filtering effectiveness and computational complexity.
Solution Approach 2:
The patent changes the filtering parameter (filter depth) based on the dimmer level setting. By varying this parameter dynamically, the system achieves effective noise reduction at low brightness levels without maintaining high processing requirements across all operating conditions, thus resolving the contradiction between noise reduction capability and processing burden.
3Device complexity
If fixed filtering depth is used, then processing is simplified, but noise reduction effectiveness decreases at certain dimmer levels
Solution Approach 1:
The system transitions from fixed to dynamic filter depth based on dimmer level. The filter depth increases when the dimmer level is low (where noise is more problematic) and decreases when the dimmer level is high. This dynamic approach maintains processing simplicity through a straightforward adjustment mechanism while significantly improving noise reduction effectiveness across varying operating conditions.
Data Source
AI summary
According to some embodiments of the present disclosure, there is provided a method of controlling a power supply electrically coupled to a dimmer, the method including receiving a current sample value of a plurality of sample values corresponding to dimmer levels, determining a dynamic weight based on the current sample value, filtering the plurality of sample values based on the dynamic weight to generate a plurality of filtered values, and generating a control signal based on the filtered values for transmission to the power supply.


