基于可变论域模糊控制的高精度数控机床控制仿真  

Control Simulation of High Precision NC Machine Tool Based on Variable Universe Fuzzy Control

作　　者：曲乙澍 杨旭 QU Yishu;YANG Xu(College of High Speed Railway Comprehensive Technical,Jilin Railway Technology College,Jilin Jilin 132000,China)

机构地区：[1]吉林铁道职业技术学院高铁综合技术学院,吉林吉林132000

出　　处：《机床与液压》2022年第21期175-180,共6页Machine Tool & Hydraulics

基　　金：广东省教育厅2022年度普通高校特色创新类项目(2022KTSCX319);汕头职业技术学院2021年度科研重点课题(SZK2021Z01);广东省教育厅2021年度普通高校特色创新类项目(2021KTSCX287)。

摘　　要：针对现有高精度机床控制过程中存在的抖振现象和控制误差过高问题,提出一种基于可变论域模糊控制的算法。基于模糊控制理论和模糊控制规则,对输入数据做降维处理,利用计算机语言划分输入量和模糊量的论域,并使用模糊语言表达模糊规则;通过伸缩调整模糊论域避免系统出现过大振荡,并降低输入值与理论值的偏差;经过模糊推理和清晰化处理,得到偏差较小的输出数据,提高数控机床的控制精度。结果表明:所提算法的阶跃响应干扰较小,且有较低的控制误差和偏差波动。Aiming at the problems of bucket vibration and high control error in the control process of existing high-precision machine tools,an algorithm based on variable universe fuzzy control was proposed.Based on fuzzy control theory and fuzzy control rules,the dimension of input data was reduced,the domain of input and fuzzy quantity was divided by using computer language,and fuzzy rules were expressed by using fuzzy language;the fuzzy universe was adjusted to avoid excessive oscillation of the system and reduce the deviation between the input value and the theoretical value;after fuzzy reasoning and clear processing,the output data with small deviation were obtained to improve the control accuracy of NC machine tool.The results show that the step response interference of the proposed algorithm is small,and the control error and deviation fluctuation are low.

关 键 词：可变论域 模糊控制 模糊隶属度 阶跃信号 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]