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基于模糊理论的数控伺服系统仿真研究 被引量:9

Simulation on CNC servo system based on fuzzy theory
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摘要 在数控伺服系统中,当系统参数发生变化或者受到外界干扰时,采用PID控制容易导致过大的超调甚至引起震荡,从而使系统的动静态性能变差。本文提出一种模糊PID控制器,它结合了PID控制和模糊控制的优点,具有较好的自适应和抗干扰能力。以本研究所研制的数控高速铣齿机Z轴位置伺服系统为研究对象,在Matlab中分别采用PID和模糊PID控制进行仿真。结果表明,模糊PID控制器具有较强的鲁棒性和抗干扰能力,更能满足数控伺服系统的性能要求。 Variation of the system parameters and external disturbances always happen in the CNC servo system. With a PID controller, it may lead to large overshoot even oscillation, then the steady state and dynamic state performance will be worse. In this paper, a fuzzy-PID controller was proposed,and it incorporated the advantages of PID control and fuzzy control ,which had good performance of adaptation and disturbance rejection. Based on the z-axis position servo system of a high-speed milling machine researched on our institute, simulations were carried out in Matlab with PID controller and fuzzy-PID controller. The results show that the system has stronger robustness and disturbance rejection with the latter, which can meet the performance requirements of the CNC servo system better.
出处 《微计算机信息》 北大核心 2007年第03S期231-233,共3页 Control & Automation
基金 科技部中小型企业创新基金(05C26213400546) 江苏高校高新技术产业发展项目(JHB05-19)
关键词 模糊PID控制器 交流伺服系统 位置控制 MATLAB仿真 Fuzzy-PID controller,AC-servo system,Position control,MATLAB simulation
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参考文献2

  • 1黄轶,舒丹阳,张智勇.基于模糊PID的热轧带钢宽度控制[J].微计算机信息,2006(04S):27-28. 被引量:3
  • 2Jian Pei,Li-Ming Zhao,De-Jun Wang,Liang Chu.Fuzzy PID control of traction system for vehicles[J].Machine Learning and Cybernetics,2005.Proceedings of 2005 International Conference,2005,Vol.2:773-777.

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