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永磁同步直线电机的复合控制及前馈参数智能整定

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直线电机广泛应用于各种半导体封装,为提高加工成品的精度,直线电机必须具有定位精度高、高速、高加速和运动平稳的特点.通过对前馈理论的学习将前馈和反馈控制结合,提出了一种"三环PID+三前馈控制"的复合控制方法.为保证直线电机运动平稳性、无加速度突变和速度突变等特点,使用四阶S运动规划作为直线电机的运动规划.为提高参数整定的效率和准确率,采用自适应遗传算法对3个前馈系数进行整定.提出3种适应度设计方案,分别有指向的优化系统动态段、静态段、综合考虑系统动态和静态段.经过实验论证,与纯PID控制相比,使用优化动态段的前馈参数可以将最大动态误差降低90.0%,使用优化静态段的前馈参数可以将最大静态误差降低95.6%.综合优化系统动态段和静态段的前馈参数可以将最大动态误差降低84.1%,最大静态误差降81.7%.
Compound Control of Permanent Magnet Synchronous Linear Motor and Intelligent Setting of Feedforward Parameters
Linear motors are widely used in various semiconductor packaging. In order to improve the accu-racy of processed products,linear motors must have the characteristics of high positioning accuracy,high speed,high acceleration,and smooth motion. A composite control method of "three loop PID+three feed-forward control" is proposed by combining feedforward and feedback control through the study of feedfor-ward theory. To ensure the smooth motion of the linear motor without sudden acceleration and speed chan-ges,a fourth-order S-motion planning is used as the motion planning of the linear motor. To improve the ef-ficiency and accuracy of parameter tuning,an adaptive genetic algorithm is used to tune the three feedfor-ward coefficients. This article proposes three fitness design schemes,namely the directed optimization sys-tem dynamic segment,static segment,and the comprehensive consideration of system dynamic and static segments. After experimental verification,compared with pure PID control,using optimized dynamic feed-forward parameters can reduce the maximum dynamic error by 90.0%,and using optimized static feedfor-ward parameters can reduce the maximum static error by 95.6%. The comprehensive optimization of the feedforward parameters in the dynamic and static sections of the system can reduce the maximum dynamic error by 84.1% and the maximum static error by 81.7%.

permanent magnet synchronous linear motorfeedforward controladaptive genetic algorithmparameter tuning

周伟、赵俭、金世康

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广东工业大学机电工程学院,广州 510006

永磁同步直线电机 前馈控制 自适应遗传算法 参数整定

2024

组合机床与自动化加工技术
大连组合机床研究所 中国机械工程学会生产工程分会

组合机床与自动化加工技术

CSTPCD北大核心
影响因子:0.671
ISSN:1001-2265
年,卷(期):2024.(11)