光学精密工程2011，Vol.19Issue(7)：1643-1650,8.DOI:10.3788/OPE.20111907.1643
模糊神经网络在自适应双轴运动控制系统中的应用
Application of type-Ⅱ fuzzy neural network to adaptive double axis motion control system
摘要
Abstract
An adaptive double axis motion control system to improve the accuracy of processing platforms was designed by combining the adaptive technology and the interval type-Ⅱ fuzzy neural network theory. The system controled two field oriented permanent magnet synchronous motors to locate the X-Y double axis motion rotor to track the butterfly contour. Meanwhile, a robust compensator was proposed to confront the Lumped uncertainty, including the inevitable approximation error due to the finite rules of the interval type-II fuzzy neural network, optimal parameter vectors and so on. Finally, the proposed control algorithm was implemented in a TMS320C32 digital signal processor. The experimental results indicate that the butterfly contour tracking performance of the double axis motion control system is improved significantly, and the control system based on the interval type-Ⅱ fuzzy neural network is more robust than that based on the type-Ⅰ fuzzy neural network for different uncertainties.关键词
区间二型模糊神经网络/双轴运动控制系统/永磁同步电机/Lyapunov稳定性理论Key words
interval type-Ⅱ fuzzy neural network/ double axis motion control system/ permanent-magnet synchronous motor/ Lyapunov stability theorem分类
信息技术与安全科学引用本文复制引用
陈向坚,李迪,白越,续志军..模糊神经网络在自适应双轴运动控制系统中的应用[J].光学精密工程,2011,19(7):1643-1650,8.基金项目
国家自然科学基金资助项目(No.50905174) （No.50905174）
