智能交流接触器全过程动态优化设计

DYNAMIC OPTIMAL DESIGN OF INTELLIGENT AC CONTACTOR IN THE WHOLE COURSE

提出一种基于蚁群算法和人工神经网络的智能交流接触器全过程动态优化设计方案。在接触器吸合阶段,通过建立蚁群算法的动态优化计算程序,寻找最佳的控制参数与结构参数,实现合闸过程的最优控制,大大减少了触头的弹跳,降低了铁心之间的撞击,从而优化铁心结构。在分断过程中,通过建立测试线圈上感应电压变化规律神经网络曲线库,预测相应磁路中磁通变化规律,由此建立分断过程动态计算数学模型,进一步进行全过程动态优化设计,加快智能交流接触器的产品化进程。

A novel concept of the dynamic optimum design of intelligent AC contactor has been developed and investigated in the whole course, based on Ant Colony Algorithm and Artificial Neural Network. Ant colony algorithm is applied to optimal design of the control and structure parameters of intelligent AC contactor in closing course, realizing saving-energy and saving-material, the core striking energy has been reduced, the contacts bounce have been lightened greatly. A lot of experiments to survey the curve of the coil potential have been done. As the excitation coil potential is too big to survey easily, the testing coil, which inculdes less number of windings, is been circled on the excitation coil. Through surveying the testing coil potential to reflect the excitation coil potential, the algorithm has been successfully used in the optimal design of intelligent AC contactor, and this method provides the foundation of designing the high performance of the intelligent AC contactor.