Search

A practical method to measure spin axis position of superconducting sphere rotor in cryogenic instrument using a reflective intensity modulated optical fiber sensor is presented. The deviation amount and direction of the spin axis are obtained by calculating the amplitude and phase of the reflective optical intensity signal. The experiments are carried out for the verification of the theoretical model and the performance evaluation of the sensor system. The experimental results show that the resolution, repeatability and linearity of the sensor system can achieve 10 ?m, 2% and 0.9988 respectively.

The reflective intensity modulated (RIM) fiber optic sensor is introduced for the measurement of superconducting sphere rotor spin-axis position in cryogenic instrument. A diffuse reflective rectangle pattern scribed on the circular flat surface at one end of the spin axis was used to modulate the reflective optical intensity on which the deviation value and direction of the spin-axis was determined. The relationship between the deviation of spin axis and the reflective optical intensity modulation is presented and some related factors are analyzed.

The characteristic of the driving torque generated by the superconducting motor is analyzed. The magnetic field distribution of the stator coils and the driving torque at the different position are calculated by FEM software. According to the rotation position detected by the fiber optic sensor measurement system, the motor can drive the rotor accelerating or decelerating rotation conveniently by the corresponding control strategy.

With the system scale becoming larger and more complex, the influence of the electrical contact on the reliability has been more and more important in modern electric power and control system. In This work, the method of dynamic data analysis that judges the variation trend of contacts' parameters is introduced. Then we take several methods to simulate and establish the prediction model of contact resistances. By the validation and contrast between measured data and the prediction values, it is concluded that the prediction model based on the method of average and standard error accords with the measured data preferably. The variation of contact resistances may be influenced by many factors. In order to verify the correctness of the variation principle of contact resistances, and the applicability of the established prediction model, we design a set of testing instrument. By using it, we can accurately measure contact resistances under different ambient condition, and know its variation from the test beginning to the final failure. The veracity of failure prediction is directly affected by data and surface microscopic analysis. Thus the further research is continued for the perfection of the prediction model.