基于热连轧机厚度精度的最优控制研究

热连轧机AGC系统机制复杂,具有高度非线性、时变性和纯滞后等特点。对上述问题采用最优控制策略:先对Mornitor-AGC闭环反馈检测产生的纯滞后进行预测外推处理,剩余部分的滞后时间采用改进型Smith预估算法和Fuzzy-PID参数自调整反馈控制,同时引入GM-AGC的前馈预控,减轻了复合控制中反馈调节的负担。仿真结果表明:在厚控系统中发生20%干扰的情况下,系统动态响应速度快,调节时间短,几乎没有超调量。其成果对有色、冶金行业提高带材质量的工程化具有重要的推广和实用价值。

Optimal Control of Thickness Accuracy of Hot Rolling Mill

The AGC system of hot strip mill is very complex,and it has the characteristics of high nonlinearity,time variation and time delay.The optimal control strategy was adopted for the above mentioned problems.The predicted extrapolation algorithm was used to solve the pure lag problem that caused by Mornitor-AGC detection,the remaining part of the lag time was improved by using Smith estimation algorithm and Fuzzy-PID parameters self-tuning feedback control.At the same time,the introduction of GM-AGC feedforward control,reduced the burden of feedback regulation.Simulation results show that in the case of 20% interference,the dynamic response of the system is fast,the adjusting time is short,and almost no overshoot.It give practical value to improve the strip quality in nonferrous and metallurgy industry.