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Three-Dimensional Force Sensor Calibration Data Processing Method

Release Time:

2025-11-05

To simultaneously measure multi-component forces and torques, a multidimensional force sensor is required, which inevitably demands calibration before use—otherwise, the conversion from electrical signals to physical force values cannot be accurately achieved.

Calibration is typically performed using weights, as they offer exceptionally high stability and precision. Relying on gravity and their inherent vertical orientation, this simple standard load proves more reliable than many other force-applying devices. While force generators and high-precision force sensors can also be used to automate the loading and measurement processes, doing so remains quite challenging. Moreover, even these sophisticated systems ultimately still require calibration and adjustment via weights.

By applying a known load, you can obtain the corresponding signal, thus establishing the mathematical relationship between the signal and the load. During use, this calibrated mathematical relationship allows you to calculate unknown loads accurately. Before using any force sensor, calibration is essential. For 3D force sensors, calibration is a complex process, and the methods for data processing are equally diverse. The performance of a force sensor is closely tied to both the calibration equipment and the calibration techniques employed.

The core issues that the calibration method needs to address are how to apply the load (load table design) and how to establish the precise mathematical relationship between each component's electrical signal and the corresponding load (calibration matrix). Additionally, it is essential to evaluate whether the derived mathematical relationship is sufficiently accurate (uncertainty analysis).

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How does the multi-dimensional force sensor enhance calibration efficiency?

Typically, a Design Of Experiment (DOE) is employed to generate a scientifically sound load table, while Regression Analysis (RA) is used to establish the functional relationships between dependent and independent variables. Ultimately, the calibration matrix obtained depends heavily on both the load table and the regression analysis method applied. Established force measurement laboratories usually have their own standardized procedures for acquiring and processing this data—though sometimes the individuals directly involved in calibration work may not even be fully aware of the underlying data calculation processes driving the calibration workflow.

2025-11-05

Three-Dimensional Force Sensor Calibration Data Processing Method

2025-11-05

Calibration Method for Six-Dimensional Force Sensors

Calibration of multi-component force sensors aims to establish the relationship between the signal and the applied force. The calibration process can be expressed as a quadratic polynomial. Interestingly, this representation differs slightly from what’s typically found in domestic textbooks—where we usually place the force F on the left side of the equation. From the perspective of the calibration procedure, however, this arrangement seems more logical, since it reflects applying a specific force and subsequently measuring the corresponding signal.

2025-11-05

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Nanjing Bio-inspired Intelligence Technology Co., Ltd.

南京神源生智能科技有限公司

Tel: 02587793282-8003 18061654911

E-mail: sales@nbit6d.com

Address: H3 Building, 509 Chengxin Avenue, Jiangning District, Nanjing City, Jiangsu Province

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