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摘要
In the tension measurement by using magneto-elastic tension sensor, generally the changes of hysteresis loop with tension is applied. But due to the changes in environment temperature, the changes of hysteresis loop contain not only the tension information but also the temperature influence. In order to eliminate the influence of temperature change, a temperature compensation method used in rod-like structure tension measurement is proposed in this paper. The proposed method involves three key steps. First, a curve of hysteresis loop change (CHLC) is defined to reflect the influence of temperature and tension. It contains two components: 1) the tension component of CHLC and 2) the temperature component of CHLC which is an unknown nonlinear curve related to the temperature changes. Second, a prediction model of temperature component of CHLC based on the neural network is proposed. Finally, the temperature influence on CHLC is eliminated by calculating the difference between the CHLC and predicted temperature component of CHLC, and the predicted tension component of CHLC is obtained. The experimental results show that the CHLC can be used as the basis of the temperature compensation method. Moreover, the temperature influence can be analyzed by CHLC when the tension is invariable, whereas the tension influence can also be analyzed when the temperature is invariable. The temperature component of CHLC can be obtained rapidly and accurately by the neural network-based prediction model with a prediction error less than 10(-5). The degree of CHLC distortion caused by temperature change is reduced from 10(-2) to 10(-5) with the proposed temperature compensation method.
- 出版日期2018-4
- 单位北京工业大学
