Force Platform Calibration Using 3D Grid Matrices

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Solution Overview

Problem

Force platforms suffer from crosstalk errors due to off-axis sensitivity, leading to inaccurate measurements, and existing calibration methods do not adequately reduce these errors to less than 1% across the surface area.

Innovation Solution

A method and system for calibrating force platforms using a 3D grid with nXm points, applying known loads along the X, Y, and Z axes, and deriving position and load-specific calibration matrices to correct for crosstalk, with verification using NIST traceable dead weights and a correction algorithm for accurate measurements.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If traditional single-point calibration is used, then the calibration process is simple and quick, but crosstalk errors remain high (greater than 1%) across the force platform surface

Engineering Contradiction:
Improvecrosstalk errorVSAvoidcalibration process
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The calibration process is segmented into multiple discrete calibration points arranged in a 3D grid pattern across the force platform surface. Instead of using a single calibration point, the system divides the measurement space into multiple segments (n x m grid points), each calibrated independently with known loads applied at each position. This segmentation allows the system to capture and correct for spatially varying crosstalk errors across different locations on the platform, reducing overall measurement error to less than 1%.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If multiple calibration points are used, then measurement accuracy improves, but the time required for calibration increases

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidcalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary characterization of the force platform by pre-calculating and storing ideal calibration data for multiple known load positions and magnitudes. During the actual calibration process, the system retrieves this pre-computed data from lookup tables rather than performing real-time complex calculations. This preliminary preparation significantly reduces the time required for calibration while maintaining high measurement accuracy across all grid points.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system uses ideal, pre-determined calibration data as templates or copies for each calibration point in the grid. Instead of performing independent complex calibration procedures at each of the n x m points, the system applies copied calibration patterns from ideal reference data, adjusting only for the specific position and load magnitude. This copying approach maintains measurement accuracy while dramatically reducing calibration time.

Inventive Principle:
Principle #26Copying

3Measurement precision

If off-axis sensitivity is not corrected, then the force platform structure remains simple, but crosstalk errors cause inaccurate measurements

Engineering Contradiction:
Improvemeasurement accuracyVSAvoidcalibration system
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system introduces an intermediary calibration layer between the raw force platform measurements and the final results. This intermediary consists of position-specific calibration matrices and lookup tables that mediate the transformation from raw sensor outputs to corrected force measurements. The calibration system acts as an intermediary that compensates for off-axis sensitivity and crosstalk errors without requiring physical modifications to the force platform structure, thereby maintaining structural simplicity while achieving high measurement accuracy.

Inventive Principle:
Principle #24Intermediary (Mediator)

Applied Scientific Principles

This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.

Function Achieved in This Case

The calibration process significantly reduces crosstalk errors to less than 1% and improves measurement accuracy, with typical load errors less than 0.1% and average Center of Pressure errors less than 0.2 mm.

Implementation Method 1

multi-axis spring members upon which a series of strain gauges are fixed for sensing loads along multiple axes

Methodology Applied
Scientific EffectStrain gauge measurement: Piezoresistive Effect

Implementation Method 2

an amplifier or signal conditioner, either connected to or embedded in the force plate or platform, and a computer for data collcction. Electrical signals from the strain gauges arc transmitted to the amplifier which amplifies the signals to a sufficient voltage for processing in the computer

Methodology Applied
Scientific EffectSignal amplification: Magnetic Amplifier

Implementation Method 3

piezoelectric sensors, Hall effect sensors, optical sensors, capacitors or mechanical sensors are used to measure loads along multiple axes of the platform

Methodology Applied
Scientific EffectPiezoelectric sensing: Piezoelectric Effect

Implementation Method 4

piezoelectric sensors, Hall effect sensors, optical sensors, capacitors or mechanical sensors are used to measure loads along multiple axes of the platform

Methodology Applied
Scientific EffectHall effect sensing: Hall Effect

Data Source

PatentEP2901125B1System and method for three dimensional calibration of force plates
Publication Date: 2019.08.07 ADVANCED MECHANICAL TECHNOLOGIES INC
  • EP2901125B1 patent drawingFigure 1
  • EP2901125B1 patent drawingFigure 2
  • EP2901125B1 patent drawingFigure 3A

AI summary

A method for calibrating a force platform includes, providing a force platform and applying an nXm grid on a top surface of the force platform via a computing device. Next, applying p known loads on each of the nXm grid points of the top surface along a Z-axis being perpendicular to the X and Y axes and along the X and Y axes. Next, taking multipoint measurements at each grid point and for each applied known load along the X,Y and Z axes and generating six measured output signals, exact position coordinates and applied known load magnitude for each grid point. Next, assembling an array of nXmXp of six equations with six unknown for each grid point and applied known load and then solving the assembled equations and deriving a position and load specific calibration matrix for each grid point.