Finally , many experiments have been pursued to measure the closing time under different temperature and control voltage by the control system designed in the paper , and a lot of experiment data has been gained . some of them are used to train and establish a bp neural net , and the others are used to test the function of the neural net . the establishment of the model creates an advantageous condition for the realization of synchronous closing 最后，为了建立环境温度和控制电压与合闸时间的关系，在不同环境温度、不同控制电压下，用本文设计的测控系统对配永磁机构的真空断路器的合闸时间进行实验，测得了大量的数据，用其中的一部分数据进行bp神经网络训练，并建立了隐层含有四个结点的三层bp神经网络模型。
Next , consulting current feedback control , the flux feedback control algorithm is designed . this algorithm has two loops , the inner loop is flux feedback loop , the outer one is air gap feedback loop ; the outer loop uses pid controller whose output is expected flux density , the inner uses the proportional or pi controller whose output is the magnet control voltage 其次,参照电流环控制的串级思想,设计出了基于磁通反馈的悬浮控制算法,该算法也采用双环控制,内环为磁通环,外环为位置环;外环采用pid控制器,输出为期望磁通密度,内环采用比例或比例积分控制器,输出为电磁铁控制电压。
