Automated Feedback Filter Design for Active Noise Cancellation
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Solution Overview
Problem
Current methods for designing active noise cancelling (ANC) filters are manual, subjective, require significant effort, and are sensitive to filter types and order, necessitating extensive training and trial-and-error, leading to suboptimal performance.
Innovation Solution
An automated method using a weighted least square optimization technique to determine a feedback filter transfer function, minimizing an error function to achieve a target transfer function, ensuring stability and optimal noise cancellation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual filter design methods are used, then the design process allows for subjective judgement and flexibility in selecting filter types, but the design requires significant time (2-3 working days per filter), extensive training, and trial-and-error, leading to suboptimal performance
Solution Approach 1:
The patent replaces the manual mechanical design process with an automated computational system. The automated filter design tool uses algorithms to calculate optimal filter parameters, eliminating the need for manual trial-and-error adjustments and subjective judgement, thereby reducing design time from 2-3 days to a fraction of that time while improving design precision.
Solution Approach 2:
The automated filter design tool enables the system to design its own filters without human intervention. The tool automatically selects filter types, determines parameters, and generates filter configurations based on the ANC system requirements, making the design process self-service and eliminating dependency on experienced engineers.
2Reliability
If manual filter design is performed by experienced engineers, then some level of ANC performance can be achieved, but the process is non-intuitive, complex, and requires a steep learning curve with extensive training
Solution Approach 1:
The patent replaces the complex manual design process with an automated computational system that handles the non-intuitive calculations and optimizations. The automated tool translates complex ANC requirements into filter parameters through systematic algorithms, making the process intuitive and easy to operate while maintaining reliable ANC performance.
Solution Approach 2:
The automated filter design tool acts as an intermediary between the ANC system requirements and the filter implementation. It translates high-level performance requirements into specific filter configurations, bridging the gap between system goals and technical implementation without requiring the operator to understand the complex intermediate steps.
3Reliability
If multiple filter designs are required for a single ANC system, then comprehensive noise cancellation can be achieved, but the total design effort increases significantly, requiring multiple days of work per filter
Solution Approach 1:
The automated filter design tool enables rapid generation of multiple filter designs without increasing per-filter design time. The system can automatically create and evaluate multiple filter configurations, selecting the optimal combination to achieve comprehensive noise cancellation, thereby maintaining high productivity even when multiple filters are required.
Solution Approach 2:
The automated design process allows for continuous generation and evaluation of filter designs without the interruptions and setup times associated with manual design. The system can seamlessly transition between designing multiple filters for a single ANC system, maintaining continuous productive action throughout the design process.
Data Source
AI summary
A computer-implemented method of automated filter design comprising designing a feedback filter for an active noise cancelling system.