基于模糊设定值加权IMC-PID算法的纸张定量控制

Paper Quantitative Control Based on Fuzzy Set Value Weighted IMC-PID Algorithm

目的造纸机定量控制系统存在时滞性大、非线性和干扰多等困难,传统的PID控制动静态性能差,已无法满足越来越高的生产需求,为了减小纸张定量的偏差拟研究新的控制策略。方法在传统内模控制和内模PID(IMC-PID)控制的基础上,结合模糊算法,设计模糊设定值加权IMC-PID算法控制系统。该控制算法通过在线整定内模PID控制器比例作用部分的设定值加权系数,改善控制系统性能指标,并将该控制算法应用到纸张定量中,与传统控制算法进行对比。结果传统PID控制与内模PID控制相比较,基于模糊设定值加权IMC-PID算法具有良好的跟踪性和抗干扰能力等。结论基于模糊设定值加权IMC-PID算法可有效控制造纸机定量控制系统,能够明显提高系统的控制精度等性能指标。

The work aims to study the new control strategy in order to reduce the paper quantification deviation,aiming at the difficulty of large time delay,nonlinearity and much interference in the quantitative control system of paper machine,and that the traditional PID control can no longer meet the increasingly higher production demand and good dynamic and static performances.On the basis of the traditional internal model control and internal model PID(IMC-PID)control,the fuzzy set value weighted IMC-PID algorithm control system was designed by combining the fuzzy algorithm.This control algorithm improved the performance index of the control system by setting the weighted coefficient of the set value of the proportional function part of the internal model PID controller online,and it was applied in the paper quantification for the comparison with the traditional control algorithm.Based on the comparison of traditional PID control and internal model PID control,the weighted IMC-PID algorithm based on fuzzy set value had good tracking ability and anti-jamming ability.The weighted IMC-PID algorithm based on fuzzy set value can effectively control the quantitative control system of paper machine,and can obviously improve the control accuracy and other performance indexes of the system.