Transducer Parameter Estimation Using Broadband Excitation

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Solution Overview

Problem

Existing technologies face challenges in accurately and efficiently estimating the parameters of electromagnetic loads, such as haptic transducers, which are essential for optimizing vibration resonance and adapting to changing conditions like temperature and user interactions, without disrupting normal operation or requiring special calibration procedures.

Innovation Solution

A system that receives an input excitation signal, identifies broadband content, and uses a parameter estimator to output the necessary parameters of the electromagnetic load, employing methods like least squares regression and infinite impulse response filters to simulate the transducer's behavior and adapt playback signals in real-time.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional parameter estimation methods are used for electromagnetic loads, then calibration procedures can be performed, but normal operation is disrupted and special calibration procedures are required

Engineering Contradiction:
Improveparameter estimation accuracyVSAvoidoperational efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The system performs self-calibration by continuously estimating parameters during normal operation using the operating signal itself as excitation. The parameter estimator processes the back-EMF signal generated during regular motor operation to update parameters without external calibration equipment or interruption of motor function, allowing the system to serve itself rather than requiring external calibration procedures

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

Parameter estimation occurs continuously during normal motor operation rather than in discrete calibration modes. The system maintains continuous parameter updates by processing the operating signal throughout the motor's operational life, ensuring parameters remain current without interrupting the useful action of motor drive

Inventive Principle:
Principle #20Continuity of useful action

2Measurement precision

If traditional parameter estimation methods are used for electromagnetic loads, then parameters can be obtained, but the process is time-consuming and not rapid

Engineering Contradiction:
Improveparameter estimation accuracyVSAvoidcalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

Parameter estimation occurs continuously during normal motor operation rather than in discrete calibration modes. The system maintains continuous parameter updates by processing the operating signal throughout the motor's operational life, ensuring parameters remain current without interrupting the useful action of motor drive

Inventive Principle:
Principle #20Continuity of useful action

Solution Approach 2:

The system performs preliminary parameter estimation during initial operation and continues updating parameters throughout operation. By establishing parameter estimates early and maintaining them through continuous processing of operating signals, the system avoids time-consuming calibration procedures later while ensuring accurate parameters are available from the start

Inventive Principle:
Principle #10Preliminary action

3Device complexity

If fixed parameters are used for electromagnetic loads, then system complexity is reduced, but the system cannot adapt to changing conditions like temperature and user interactions

Engineering Contradiction:
Improvesystem complexityVSAvoidparameter adaptation capability
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system transitions from fixed parameters to dynamic parameters that continuously adapt during operation. The parameter estimator processes the back-EMF signal in real-time to update parameters according to changing operating conditions such as temperature variations and user interactions, making the system flexible and adaptive without requiring complex external calibration equipment

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The system uses feedback from the back-EMF signal generated during normal operation to continuously update parameters. The parameter estimator processes this feedback signal to detect changes in motor characteristics and adjusts parameters accordingly, enabling automatic adaptation to changing conditions while maintaining relatively simple system architecture

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS12176781B2Methods and systems for estimating transducer parameters
Publication Date: 2024.12.24 CIRRUS LOGIC INC
  • US12176781B2 patent drawing
  • US12176781B2 patent drawing
  • US12176781B2 patent drawing

AI summary

A system for estimating parameters of an electromagnetic load may include an input for receiving an input excitation signal to the electromagnetic load, a broadband content estimator that identifies at least one portion of the input excitation signal having broadband content, and a parameter estimator that uses the at least one portion of the input excitation signal to estimate and output one or more parameters of the electromagnetic load.