| At the end of the last century, scientists had successfully produced superconducting materials at room temperature. At present, the superconducting material is widely applied in practice. So the research of superconducting material is meaningful. It’s been proved that micro-nano particles of superconducting materials are with some special characteristics. Some superconducting devices have the potential to become a reality with these characteristics. The micro-nano superconductive particle has become the hot spot of research. But the preparation is always a difficult problem. Therefore, it is necessary to study the preparation of micro-nano superconducting particles, researching to promote the micro-nano superconducting particles.In the article, at first we designed the control system process of the micro-nano particle preparation equipment on the basis of its structure feature, process requirements and the rolling mill parametric analysis. And we chose the speed sensor for signal acquisition and the frequency control devices for adjusting the motor speed.Secondly, in this article we adopted the fuzzy neural network technology which is adapted to the complex nonlinear control system in considering the feature and the complexity of the rolling mill itself. We adopted the hierarchical fuzzy control method and the predictive fuzzy control method to found a forward neural network to make the real-time control on the grinding process. Meanwhile, we build the simulation model of the vibration mill drive motor by using the Matlab software and load the fuzzy control system on the motor to get the correlated curve of the motor. The results show that the control system has good mechanical properties on the induction motor.Finally, we choose the PLC to make the overall real-time dynamic monitoring and display by programming and make the assay on the equipment and the control system. After the debugging and several repeated tests, we found that the high-temperature superconducting material Bismuth cuprate has reached the micron level through the microscope. We got the desired results and verified the feasibility of the design. |
