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基于PLC技术的锻造加热温度控制系统
引用本文:李文华,杨子凝,吕维军. 基于PLC技术的锻造加热温度控制系统[J]. 测控技术, 2015, 34(5): 78-81. DOI: 10.3969/j.issn.1000-8829.2015.05.022
作者姓名:李文华  杨子凝  吕维军
作者单位:1. 辽宁工程技术大学机械工程学院,辽宁阜新,123000;2. 阜新广播电视台播出部,辽宁阜新,123000
摘    要:工件的加热过程通常采用人工控制的方式,这种方式存在很多不足,不仅浪费了人力资源,而且极易使工件出现过热或过烧的现象,加工过程的可靠性极低.为了克服以上不足,从控制锻造温度的角度出发,设计了一种以PLC为核心部件的锻造工件自动检温和自动送料系统.详细阐述了控制系统的总体设计思想,并分别介绍了软硬件的设计过程、模糊PID自整定控制器的设计和组态界面的建立.实际应用结果表明,本系统在提高锻件的成品率方面表现良好,大大降低了工件损耗和能耗,系统具有很强的实用性,为其他温度控制系统的改进提供参考依据.

关 键 词:温度控制  电磁感应  PLC  模糊PID控制

Forging Heating Temperature Control System Based on PLC Technology
LI Wen-hua , YANG Zi-ning , LV Wei-jun. Forging Heating Temperature Control System Based on PLC Technology[J]. Measurement & Control Technology, 2015, 34(5): 78-81. DOI: 10.3969/j.issn.1000-8829.2015.05.022
Authors:LI Wen-hua    YANG Zi-ning    LV Wei-jun
Abstract:The heating process of workpieces is usually controlled manually by human experts,which exposes some shortcomings in quality,cost and time.On the one hand,the manual control process requires enormous amount of experienced human labors,which is also a huge expensive in manufactures.On the other hand,the workpieces are more likely to be overheated or overburnt when controlled by human operators,which indicates the low reliability of the process.In order to address these problems,an advanced system based on PLC is designed which can perform automatic temperature detecting and automatic feeding for forging workpieces.The overall architecture of the control system is proposed and the software and hardware design processes are introduced.The fuzzy-PID self-tuning system is designed and the monitoring configuration system is built accordingly.The experimental results illustrate that the proposed system performs well in improving the yield of forging workpieces and greatly reduces the energy consumption.Furthermore,the proposed system can be used to improve other temperature control systems,which reflects a strong practicality and applicability of the system.
Keywords:temperature control  electromagnetic induction  PLC  fuzzy PID control
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