应变式称重传感器的非线性校正

因受自身材质、工艺的限制以及外界环境影响,应变式称重传感器输入—输出特性存在非线性误差,影响系统测量精度,需要对其进行非线性校正。采用曲线拟合法建立传感器逆模型,并存储于单片机中用于非线性校正,结合外围硬件电路完成对被测数据的采集与实时处理。设计完成的测量系统具有一定的环境自适应性和智能化特点。实验结果表明,校正后系统的非线性和零点漂移得到明显改善,同时软、硬件相结合的设计方式具有较高的应用价值。

Nonlinear compensation of strain-type weighing sensor

The objective of this research was to investigate the possibility of compensating for the nonlinearity of the strain-type weighing sensor. Because of the internal and external factors, the relationship between the input weight and the output voltage of the sensor presented nonlinear characteristic. This paper applied the curve fitting method to establish the inverse model of the weighing sensor. It used the model held in the microcontroller to compensate for the nonlinearity of the sensor in real time. The research results show that this processing method can implement the nonlinear compensation of the sensor and eliminate zero drift effectively. Hardware/software co-design has been confirmed helpful and practical in system design.