自适应神经元网络板形板厚综合控制

Adaptive Neural Networks for AFC/AGC Complex Control

摘要: 提出一种自适应神经元网络的方法,对板形板厚综合系统进行了仿真研究,该控制方法,适合处理多输入输出问题,并具有自组织、自适应和自学习能力,仿真结果表明,该方法的效果比采用传统的PID控制优越,可应用于实际控制.

Abstract: A kind of adaptive neural networks control method, which is suit to deal with MIMO, has been advanced to control AFC/AGC complex system. Neual networks have adaptive and learning ability. Stimulation results show that the adaptive neural networks control have an advantage over the PID control.