| Summary: | Aiming at the relationship between capacitance and displacement of the rod position indicator sensor when the control rod drops, the data of the control rod are calibrated in four different working conditions at the horizontal position. One half of the maximum and minimum capacitance values obtained from the calibration are taken as the fitting values. The data are fitted by cubic spline interpolation, least square method and BP neural network method respectively, and then the data are fitted by using the method of cubic spline interpolation, least square method and BP neural network. The original data obtained under four working conditions are interpolated and observed errors are analyzed. The results of MATLAB fitting show that cubic spline interpolation has a good effect.
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