Nonlinear Vibration Compensation in Electro-Mechanical Transducers
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing electro-mechanical and electro-acoustical transducers, such as loudspeakers, suffer from nonlinear signal distortion at higher frequencies due to complex vibration modes, which impair sound quality and active noise reduction performance, and current methods lack effective compensation for these distortions without detailed geometric and material information.
Innovation Solution
A physical model using distributed parameters to describe nonlinear excitation and sound radiation, employing a block-oriented wave model that distinguishes between activation and transfer modes, with a multi-modal signal processing approach to generate a virtual distortion contribution that compensates for nonlinearities, allowing for adaptive identification of free parameters for improved transducer performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a physical model using distributed parameters is used to describe nonlinear excitation and sound radiation, then the accuracy of distortion compensation is improved, but the complexity of the system increases
Solution Approach 1:
The patent segments the complex physical model into distinct functional blocks: a linear filter bank for modal decomposition, a nonlinear processing unit for distortion generation, and an inverse filter for compensation. This modular segmentation maintains modeling accuracy while reducing implementation complexity by separating concerns into independent, manageable modules.
Solution Approach 2:
The patent introduces an intermediary modal transformation system that converts the complex distributed parameter model into a equivalent lumped parameter representation. This intermediary model serves as a bridge, preserving the essential nonlinear characteristics while simplifying the mathematical formulation and computational requirements for practical implementation.
2Adaptability or versatility
If adaptive identification of free parameters is implemented, then the versatility of the compensation system is improved, but the time required for system setup and calibration increases
Solution Approach 1:
The patent implements preliminary action by pre-calculating and storing the filter bank coefficients and modal parameters during a one-time system initialization phase. This preliminary setup creates a ready-to-use compensation framework that requires minimal adjustment during actual operation, reducing calibration time while maintaining adaptability to different transducer types through the pre-established parameter identification routines.
Data Source
AI summary
The invention relates to an arrangement and a method for converting an input signal v into an output signal p(ra) by using an electro-mechanical transducer and for reducing nonlinear total distortion pd in said output signal p(ra), whereas the nonlinear total distortion pd contains multi-modal distortion ud which are generated by nonlinear partial vibration of mechanical transducer components. An identification system generates distributed parameters Pd of a nonlinear wave model (Nd) and lumped parameters Pl of a network model (Nl) based on electrical, mechanical or acoustical state variables of transducer measured by a sensor. The nonlinear wave model distinguishes between activation modes and transfer modes, whereas the activation modes affect the transfer modes, which transfer the input signal u into the output signal p. A control system synthesizes based on the physical modeling and identified parameters Pd and Pl nonlinear distortion signals vd and vl which are supplied with the input signal v to the transducer and compensate for the distortion signals ul and ud generated by the transducer nonlinearities.


