力矩传感器是智能自行车的核心部件之一。本文提出了一种基于Lab VIEW的力矩传感器自动化测试系统。通过Lab VIEW实现对电机、磁粉制动器、高低温交变湿热试验箱等下位机设备的控制,实现了力矩传感器的温度和电压两参数的动态检测。以数据拟合为基础,提出了表征力矩传感器耐久性和热敏性的性能评估模型PAM(performance assessment model)。该模型能够模拟并预测力矩传感器在不同温度和使用时长下的性能变化曲线。经测试验证,该模型表现出较高的预测准确度和稳定性,误差小于±2%。该系统为力矩传感器的自动化测试提供了解决方案,有助于降低测试成本和进一步优化力矩传感器的设计。
The torque sensor is one of the core components used by intelligent bicycles. A Lab VIEW-based automatic testing system for torque sensors is introduced in this article. Motor, magnetic powder brake, temperature humidity chamber and other lower computer equipment which controlled by Lab VIEW realize the dynamic testing of temperature and voltage. On the basis of curve fitting, a PAM(performance assessment model) is put forward to reflect durability and thermo-sensitiveness of the torque sensor. The model can simulate and predict performance curves of the torque sensors under different temperature and time duration. It has been verified by experiments that the prediction model has high prediction accuracy and prediction stability, its test error is less than ±2%. The system provides a solution for automatic test of the torque sensor and helps to reduce the test cost and further optimize the design of the torque sensor.