纤维张力控制模糊自适应PID算法研究  

Fuzzy adaptive PID algorithm for tension controI of filament winding

作　　者：马志春[1] 孙建起 刘振永[1] 耿亮[1] 

机构地区：[1]石家庄学院,河北石家庄050035

出　　处：《自动化与仪器仪表》2016年第8期13-14,18,共3页Automation & Instrumentation

摘　　要：针对纤维张力控制,提出了重锤式结构张力控制系统,利用重锤位置变化、加速度及张力三者之间的关系为理论依据,将控制加速度作为控制对象,进而可以针对张力进行预期调整。系统以运动控制器为核心、交流伺服电机为执行元件、位置传感器为检测元件,构成闭环控制系统,同时采用模糊自适应PID算法为控制策略,通过传感器采集位置信息,利用位置偏差、速度及加速度信息,进行模糊运算处理、整定,进而得到优化的PID参数传送给运动控制器实施张力控制,本文也针对传统PID与模糊自适应PID做了对比实验,论证了模糊自适应PID控制的更优性。based on the Hammer- tension control system, this paper presents a novel proportional- integral- derivative （ PID ） self- adaptive controller by fuzzy adaptive mechanism for the tension control of filament winding system, using motion controller as core, AC servo motor as actuator and Position Sensor as detector, forming Closed- loop control system. By detecting the hammer＇ s positon information and analysing data of the position deviation, speed and acceleration, the controller Calculates and then tunes the PID parameters. So, the optimized PID parameters could be got, which was transmitted to the motion controller to implement the tension control. This paper was also compared the traditional PID with fuzzy adaptive PID and the optimality of the fuzzy adaptive PID control is proved.

关 键 词：纤维张力控制 模糊自适应PID 位置传感器 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]