节点文献
用于交联电缆生产线的神经元控制方法的研究与FPGA实现
Research and FPGA Implementation of Neuron Control Method for Cross-Linked Cable Production Line
【作者】 刘浩;
【导师】 郜峰利;
【作者基本信息】 吉林大学 , 集成电路工程(专业学位), 2022, 硕士
【摘要】 电缆在我国制造工业领域有着非常重要的位置,是国家电网的必须品,是信息传输系统的传递媒介,是许多大型设备的内部组成部分。聚乙烯交联电缆是在二十世纪六十开始出现在中国,1971年,利用蒸汽交联法的制作手段,上海电缆厂与沈阳电缆厂联合制造出第一条较为成熟的35k V聚乙烯交联电缆,时至今日,生产技术已经非常成熟。在本课题中,所使用的系统就是一套非常成熟三层共挤悬链式干法高压交联电缆生产线控制系统。PID的原理易于理解,实现简单,鲁棒性较好,因此被应用在交联电缆生产线的挤出机温控及管路温控部分,但是,由于此系统的温度控制存在滞后效果、非线性以及外界环境复杂多变等特点,普通的PID虽然能够起到温度控制的效果,但控制过程中存在静态温度波动较大,反应速度慢等问题。随着人们对PID算法的不断地探索与研究,将不同的算法融入其中,形成了模糊PID,单神经元自适应PID等改进的PID算法,模糊PID算法稳定性更高,适用于复杂的控制环境,单神经元自适应PID算法反应速度更快,有更好的鲁棒性。本文首先对课题有关的发展现状以及选题意义进行了介绍,然后概述了交联电缆生产线控制系统的构成并介绍了系统的各个组成部分,主要包括挤出机及悬链管路温控系统,以及其他电气控制部分。接下来介绍了课题所设计的基于FPGA温控系统的硬件构成,主要包括,温度接收模块、参数设定模块、触摸屏交互驱动接口模块、数码管驱动模块、PWM信号输出等;同时对各部分进行了性能测试;此外,Modbus通讯是交联电缆生产线常用的通讯方式,项目中使用FPGA对此协议进行了实现与仿真;然后对传统PID进行了简介,对模糊PID,单神经元自适应PID进行了介绍,最后对三种算法进行实验对比,得出结论,模糊PID抗干扰性更强,单神经元自适应PID反应速度更快,鲁棒性更好。
【Abstract】 Cable has a very important position in my country’s manufacturing industry.It is a must for the national grid,a medium for information transmission systems,and an internal component of many large-scale equipment.Polyethylene cross-linked cables appeared in China in the 1960 s.In 1971,using the steam cross-linking method,Shanghai Cable Factory and Shenyang Cable Factory jointly produced the first relatively mature 35 k V polyethylene cross-linking.Cable,today,the production technology has been very mature.In this subject,the system used is a set of very mature three-layer co-extrusion catenary dry process high-voltage cross-linked cable production line control system.The principle of PID is easy to understand,the implementation is simple,and the robustness is good,so it is used in the extruder temperature control and pipeline temperature control part of the cross-linked cable production line.However,due to the hysteresis effect,nonlinearity and complex and changeable external environment in the temperature control of this system,In addition,there are a lot of external interference and other characteristics.Although ordinary PID can play the effect of temperature control,there are problems such as large static temperature fluctuation and slow response speed in the control process.With the continuous exploration and research of PID algorithm,different algorithms are integrated into it,and improved PID algorithms such as fuzzy PID and single neuron adaptive PID are formed.The fuzzy PID algorithm has higher stability and is suitable for complex control.environment,the single neuron adaptive PID algorithm has faster response and better robustness.This paper firstly introduces the development status of the subject and the significance of the subject selection,and then outlines the composition of the control system of the cross-linked cable production line and introduces the various components of the system,mainly including the extruder and the temperature control system of the catenary pipeline,and Other electrical control parts.Next,the hardware composition of the FPGA-based temperature control system designed by the project is introduced,including temperature sensor module,parameter setting module,digital tube display module,human-computer interaction interface module,PWM output module,etc.In addition,Modbus communication is a common communication method for crosslinked cable production lines,and FPGA is used in the project to implement and simulate this protocol;Introduced,and finally compared the three algorithms,and concluded that fuzzy PID has stronger anti-interference,single neuron adaptive PID has faster response speed and better robustness.
【Key words】 Polyethylene cross-linked cable; single neuron adaptive PID; FPGA;