基于模糊免疫PID定型机拉伸张力控制技术

为了解决常规PID(proportion integral differential)算法在定型机定型过程中动态性能差和抗干扰弱等问题，采用了在常规PID算法的基础上引入模糊免疫算法的方案，并设计了一种模糊免疫PID控制器。通过MATLAB软件搭建网络模型进行仿真分析，此方法满足定型机拉伸张力的各项技术要求，使系统的超调下降到1.6%，基本接近无超调，到达稳定时间缩短至4 s，且张力所受外部扰动影响很小。经实验结果显示，定型机拉伸张力控制在设定值±2%之内，符合系统的要求并控制在系统的误差范围之内。因此模糊免疫PID控制器有效的改善了定型机中拉伸张力的技术问题，可以满足生产需求。

Stretching Tension Control Technology Based on Fuzzy Immune PID Setting Machine

In order to solve the problems of poor dynamic performance and weak anti-interference of conventional PID (proportion integral differential)algorithm in the setting process of shaping machine, a scheme of introducing fuzzy immune algorithm on the basis of conventional PID algorithm is adopted, and a fuzzy immune PID controller is designed. Through the simulation analysis of the network model built by MATLAB software, this method met the technical requirements of the stretching tension of the setting machine, and reduced the overshoot of the system to 1.6%, which is basically close to no overshoot, the time to reach stability was shortened to 4s, and the tension was seldom affected by external disturbances. The experimental results showed that the drawing tension of the setting machine was controlled within ±2% of the set value, meeting the requirements of the system within the error range of the system. It is concluded that the fuzzy immune PID controller effectively improves the technical problems of tensile tension in the setting machine and can meet the production demand.