摘要
针对中厚板常化炉的计算机控制系统，详细介绍了辊道控制子系统，并提出了一种基于自校正神经网络PID优化控制算法．采用此算法的常化炉辊道控制系统运行稳定，产品性能指标、生产效率显著提高．
For the computer control system of the normalizing furnace with the medium steel plate, its subsystem of roller control system is introduced, PID control algorithm based on the self-adjusting artificial neural network is mentioned. The roller control system of normalizing furnace worked stably by adopting the algorithm. In addition, production efficiency and property index improved.
出处
《北华大学学报（自然科学版）》
CAS
2012年第1期109-112,共4页
Journal of Beihua University（Natural Science）
关键词
辊道
PID
自校正
神经网络
roller
PID
self-adjustment
neural network
