中国塑料 ›› 2013, Vol. 27 ›› Issue (04): 85-89.DOI: 10.19491/j.issn.1001-9278.2013.04.018

• 机械与模具 • 上一篇    下一篇

基于自适应模糊PID的注塑机温度控制及仿真

张鹏飞,党开放,张亚军,马秀清   

  1. 北京化工大学机电工程学院
  • 收稿日期:2012-10-11 修回日期:2012-12-05 出版日期:2013-04-26 发布日期:2013-04-26

The control and simulation of temperature for injection molding machine based on self-adaptive fuzzy PID control method

  • Received:2012-10-11 Revised:2012-12-05 Online:2013-04-26 Published:2013-04-26
  • Contact: Xiuqing MA E-mail:maxq@mail.buct.edu.cn

摘要: 为了对注塑机温度精确控制,针对注塑机温度在传统比例积分微分(PID)控制系统中存在的控制偏差大、调节速度慢等诸多不足的现状,提出将模糊控制器和PID控制器相结合,构造成一个自适应模糊PID控制器,运用MATLAB软件建立传统PID和自适应模糊PID控制器模型,对机筒温度进行仿真对比。设定200℃为给定温度,最终仿真结果显示,与传统PID控制器相比,自适应模糊PID控制器实现了注塑机温度的实时控制,达到了超调量小,升温快速及稳态无误差等要求。表明了自适应模糊PID控制器比传统PID控制器对温度的控制效果更加良好。

Abstract: There were many shortages in the traditional PID control systems for injection molding machines,such as great control deviation, slow rate of regulation, etc. In order to control the temperature accurately, a self-adaptive fuzzy control method was proposed in this work,which combines fuzzy control and PID control method. The traditional PID control model and self- adaptive fuzzy PID control model were established by MATLAB software; the temperature of cylinders was simulated and compared. The temperature was set at 200℃.The result of simulation indicated that the self-adaption fuzzy PID controller had realized the real-time temperature control of injection molding machines and met the requirements of smaller overshoot, quick temperature rising and no steady-state error,which compared with traditional PID controller. Above-mentioned results illustrated that the temperature control effectiveness of the self-adaptation fuzzy PID controller was better than the traditional PID controller.

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