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基于神经网络的交叉耦合控制技术研究

Research on the cross-coupling control technology based on neural network

中文摘要英文摘要

本文以基于直线电机的数控机床XY工作台为实验平台,进行轮廓误差控制技术的研究,设计了神经网络交叉耦合控制器。在交叉耦合控制的基础上,分析神经网络的理论,并与PID控制相结合,设计了神经网络PID控制器,将其应用在单轴控制与交叉耦合控制上,在MATLAB中搭建了神经网络交叉耦合控制的仿真模型。实验结果表明,该控制器有效减小了系统的轮廓误差,体现了神经网络自学习、自适应的能力。

his paper researches on the contour error control technology based on a XY platform of CNC machines driven by linear motors, and designs a neural network cross-coupling controller (NN-CCC). On the basis of cross-coupling control (CCC), the theory of neural network (NN) is analyzed. The neural network PID (NN-PID) controller is designed by combining NN with PID control, which is applied to the single-axis controller and cross-coupling controller. A simulation model of NN-CCC is built in MATLAB. It is shown in experiments that the NN-CCC controller reduces the contour error of the system effectively, and the ability of self-learning, adaptive.

田晓青、夏链、刘洪珍、韩江

自动化技术、自动化技术设备

数控技术直线电机轮廓误差交叉耦合PID控制神经网络

NC technologylinear motorcontour errorcross-coupling controlPID controlneural network

田晓青,夏链,刘洪珍,韩江.基于神经网络的交叉耦合控制技术研究[EB/OL].(2016-04-26)[2025-08-23].http://www.paper.edu.cn/releasepaper/content/201604-345.点此复制

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