首页> 外文OA文献 >Implementation of fuzzy logic controller on revolute control universal stretch bending machine (USBM)
【2h】

Implementation of fuzzy logic controller on revolute control universal stretch bending machine (USBM)

机译:模糊逻辑控制器在转速控制万能拉伸弯曲机(USBM)上的实现

摘要

Motor speed control is very important in rotating machinery applications. There are many applications that have been developed based on motor speed control theory such as to run the machines at most factory automation industry as well known the machines are easiest to damage without controller. The speed control of motor is very difficult to be implemented by using conventional control techniques, as it requires a very complex mathematical model. The purpose of this project is to describe the research of fuzzy logic controller (FLC) design based on programmable logic controller (PLC) in order to control the speed of the motor. The model of the PLC that has been used in this project is OMRON CJIG-CPU42P where this PLC has a build in loop control that can be made the ladder diagram quite simple using function block in Cx-process tools. In this project, the system without controller shows that is an open loop control. Therefore, when break is applied there is no feedback for the system to increase the voltage in order for the motor to maintain the desired speed output. Compare by using the controller FLC, when the breaking is applied there is a feedback for the system to increase the voltage to get the desired output that the user need. From this hardware implementation there are five rules that have been used which is five membership functions with trapezoid and triangular shape. Analysis will be done and it shows that the triangular shape is much better compare to the trapezoid shape and without controller in the system. Before the controller will be implementing in the PLC, the simulations were done using MATLAB fuzzy logic toolbox and SIMULINK. The objective of the simulation is to predict the system response of the motor in with or without controller.
机译:电机速度控制在旋转机械应用中非常重要。基于电动机速度控制理论已经开发了许多应用程序,例如在大多数工厂自动化行业中运行机器,众所周知,没有控制器,机器最容易损坏。电动机的速度控制很难通过使用常规控制技术来实现,因为它需要非常复杂的数学模型。该项目的目的是描述基于可编程逻辑控制器(PLC)以控制电动机速度的模糊逻辑控制器(FLC)设计的研究。在该项目中使用的PLC的模型是OMRON CJIG-CPU42P,其中该PLC具有内置循环控制,可以使用Cx-process工具中的功能块使梯形图变得非常简单。在该项目中,没有控制器的系统显示为开环控制。因此,在施加中断时,没有反馈给系统增加电压,以使电动机保持所需的速度输出。通过使用控制器FLC进行比较,当施加断路时,系统会提供反馈以增加电压以获得用户所需的期望输出。从此硬件实现中,已使用了五个规则,即具有梯形和三角形形状的五个隶属函数。将进行分析,结果表明,与梯形相比,在系统中没有控制器的情况下,三角形的形状要好得多。在控制器将在PLC中实现之前,使用MATLAB模糊逻辑工具箱和SIMULINK完成了仿真。仿真的目的是在有或没有控制器的情况下预测电动机的系统响应。

著录项

  • 作者

    Nina Naisha Suhaimi;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种
  • 中图分类

相似文献

  • 外文文献
  • 中文文献
  • 专利

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号