自適應神經元網絡板形板厚綜合控制

Adaptive Neural Networks for AFC/AGC Complex Control

摘要: 提出一種自適應神經元網絡的方法,對板形板厚綜合系統進行了仿真研究,該控制方法,適合處理多輸入輸出問題,并具有自組織、自適應和自學習能力,仿真結果表明,該方法的效果比采用傳統的PID控制優越,可應用于實際控制.

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.