The hardware system of a 3D force sensor


Release Time:

2025-11-01

The hardware system of a 3D force sensor primarily consists of a sensing head and a signal-processing unit, which includes a stage amplifier circuit and a strain gauge bridge. The sensing head is designed to generate and amplify force signals, while the signal-processing unit handles data acquisition, data analysis, result display, and data transmission. With the widespread adoption of intelligent robots, 3D force sensors have become one of the critical sensors in modern robotics. By installing appropriate 3D force sensors at each joint of an intelligent robot, engineers can analyze the magnitude and direction of forces experienced by the robot as it interacts with its external environment—providing essential mechanical feedback that enables precise control of the robot's movements.

Through the variational principle and the weighted residual method, the elastic components of the 3D force sensor were analyzed and verified, focusing on stiffness, structural static analysis, and strength. Based on this analysis, a comprehensive evaluation was conducted to assess the rationality of the structural design. The system’s fundamental hardware and software components were also examined, along with the design of the resistive strain bridge and its underlying measurement principles. Specifically, the design includes a USB-interface-based data acquisition circuit as well as an amplification circuit. To ensure robust performance, certain measures were implemented to minimize external interference affecting the system. Additionally, the experimental methodology for the 3D force sensor was discussed, including the design of a static calibration setup. The calibration results and error analysis revealed that both the overall measurement error and interference-induced errors remained within acceptable limits. Ultimately, the 3D force sensor enables simultaneous measurement of mechanical forces in three-dimensional space. Once this data is acquired, it can be fed back into the robot’s control system, allowing the system to precisely guide and adjust the motion trajectory of the robotic arm, thereby successfully completing the predefined task.

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