摘要
提出了一种用于脉冲电镀电源的神经网络控制器,并对脉冲变压器建立了数学模型.通过对整个电源系统进行仿真、实验,表明这种给予动态BP神经网络的控制器可以提高控制精度,并且对非线性.时变电镀负载有较强的适应能力.
A control method based on neural network for pulse plating power is presented,and a mathematical model of the pulse transformer is established. By simulation,the pulse plating power with BP neural controller can improve its control precision. Especially ,it is able to be adaptable to nonlinear and timevarying loads.
出处
《甘肃科学学报》
2007年第4期100-103,共4页
Journal of Gansu Sciences
