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  1. (1. 西安电子科技大学 机电工程学院,陕西 西安 710071;2. 青岛理工大学 机械工程学院,山东 青岛 266033)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-20 发布日期:2007-10-25

Design of a servo controller with the intelligent dual module NC

JIANG Pei-gang1,2;CHEN Jian-jun1;ZHANG Yan-hai2;BAI Qing-hua2

  1. (1. School of Mechano-Electronic Engineering, Xidian Univ., Xi′an 710071, China;2. School of Mechanical Engineering, Qingdao Technological Univ., Qingdao 266033, China)
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-10-20 Published:2007-10-25

摘要: 以数控伺服进给控制器为研究对象,采用在全论域范围内带有自调整模糊规则因子和模糊比例因子的自适应控制策略,提出一种可提高数控伺服进给系统动态性能的智能Fuzzy-PID双模控制器设计方法.仿真分析证明该方法在不同的工作状态下,根据不同的响应阶段的动态性能要求在线自动调整控制器的控制参数和控制算法,可有效地克服传统控制算法存在的扰动、超调量大、调节时间长等缺点.Matlab软件仿真证明该控制器较常规PID、模糊控制器具有响应快、超调小、鲁棒性强和自寻优等特点.

关键词: 伺服进给, 自适应控制, 模糊控制, PID控制, 双模控制

Abstract: This paper proposes a new approach to intelligent Fuzzy-PID dual module control for improving dynamic performance of an NC servo feed system. This new controller uses auto-adaptive full domain control by self-adjusting factors with fuzzy regulation and fuzzy scaling. Simulations suggest that this method can achieve online automatic adjustment of the control parameters and algorithms according to the requirements for dynamic performance at different response phases under various working conditions. The unfavorable disturbance, large overshoot and long adjustment time in the old control algorithm can be effectively avoided. A Matlab simulation demonstrates that compared with a general PID fuzzy controller, the proposed controller can offer a rapid response, small overshoot, strong robustness and self-optimization.

Key words: servo feed, autoadaptive control, fuzzy control, PID control, dual module control


  • TH165+.2