[1]束云豪,王政伟.基于PID的电加热锅炉控制算法研究[J].常州大学学报(自然科学版),2020,32(03):79-85.[doi:10.3969/j.issn.2095-0411.2020.03.011]
　SHU Yunhao,WANG Zhengwei.Research on PID Control Algorithm of Electric Heating Boiler[J].Journal of Changzhou University(Natural Science Edition),2020,32(03):79-85.[doi:10.3969/j.issn.2095-0411.2020.03.011]
点击复制

基于PID的电加热锅炉控制算法研究()
分享到：

常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第32卷
期数:
2020年03期
页码:
79-85
栏目:
热能工程
出版日期:
2020-05-28

文章信息/Info

Title:
Research on PID Control Algorithm of Electric Heating Boiler
文章编号:
2095-0411(2020)03-0079-07
作者:
束云豪1; 2; 王政伟1
(1. 常州大学 石油工程学院, 江苏 常州 213164; 2. 国家电网常州供电公司, 江苏 常州 213000)
Author(s):
SHU Yunhao1; 2; WANG Zhengwei1
(1.School of Petroleum Engineering, Changzhou University, Changzhou 213164, China; 2.State Grid Corporation of China Changzhou Branch Operation, Changzhou 213000, China)
关键词:
模糊控制;  PID控制;  电加热锅炉
Keywords:
fuzzy control;  PID control;  electrically heated boiler
分类号:
TK 8
DOI:
10.3969/j.issn.2095-0411.2020.03.011
文献标志码:
A
摘要:
传统电热锅炉温度控制具有出非线性、时变性、大滞后等问题,控制精度不高。对常规PID、模糊PID和模糊内模PID这3种算法在电加热锅炉中的控制效果进行对比分析,利用MATLAB的Simulink建立仿真模型得到仿真结果,并在AE2000锅炉温控实验装置中实现,验证仿真结果的可信性。研究表明:相较于模糊PID算法(超调值0.7 ℃,余差0 ℃,稳定时间40 min),模糊内模PID控制算法(超调值0 ℃,余差0 ℃,稳定时间30 min)的调节时间更短、超调更小、能够更为快速的响应,且系统的鲁棒性更强,具有良好的抗干扰能力,系统精度、稳定性均较高。
Abstract:
The temperature control of the traditional electric boiler has nonlinear, time-varying, large hysteresis and other problems, and the control precision is not high. In this paper, the control effects of conventional PID, fuzzy PID and fuzzy intimal PID in electric heating boiler are compared and analyzed. The simulation results are obtained by using MATLAB Simulink to obtain simulation results, and realized in AE2000 boiler temperature control experimental device. The credibility of the simulation results are verified. The research shows that compared with the fuzzy PID algorithm(overshooting value 0.7 ℃, residual error 0 ℃, stabilization time 40 min), the adjustment of fuzzy intimal PID control algorithm(overshoot value 0 ℃, residual error 0 ℃, stabilization time 30 min), the time is shorter, the overshoot is smaller, the response is faster, and the system is more robust, having good anti-interference ability, higher system accuracy and stability.

参考文献/References:

[1]ZEDEH L A. Fuzzy sets[J]. Information and Con-Trol, 1965,3(5):33-37.
[2]OHAMAN M, JOHNASSON S, ARZEN K E. Implementation aspect of the PLC standard IEC1131-3[J]. Control Engineering Practice, 1998, 6(8): 547-555.
[3]王树青.先进控制技术及应用[M].北京:化学工业出版社, 2001.
[4]胡新新.改进PID结构的电锅炉温度控制系统研究[J].中国设备工程,2018(13):81-83.
[5]谷洋洋,李来春,张绍娟.基于智能PID控制的燃气锅炉燃烧控制系统研究[J].热能动力工程,2015,30(3):413-417,494-495.
[6]刘华,刘敏层.基于模糊PID在锅炉温度控制系统的仿真研究[J].自动化与仪表,2018,33(4):20-25.
[7]刘炽义,赵国,王子峣.永磁直线电动机的内模PID控制和抗干扰能力分析[J].微特电机,2016,44(8):86-88,98.
[8]钱明辉,谭海龙,金鑫,梁军.基于MFAC-PID的核电站蒸汽发生器水位控制[J].华东理工大学学报(自然科学版),2015,41(1):72-76,124.
[9]GARCIA C E, MORARI M. Internal model control-1. Unifying review and some new resutls[J]. Ind Eng Chem Process Des Dev, 1982, 21(2):308-323.
[10]丁虎,张健沛.PID参数整定新方法在锅炉蒸汽压力系统中的应用[J].哈尔滨工业大学学报,2010,42(1):163-168.
[11]王岁平.基于PID算法的锅炉温度控制研究[J].自动化应用,2019(5):35-36,47.
[12]韩海宁.蚁群算法在平台锅炉PID参数优化中的应用[J].化工管理,2019(9):148-149.
[13]刘华,刘敏层.基于模糊PID在锅炉温度控制系统的仿真研究[J].自动化与仪表,2018,33(4):20-25.

相似文献/References:

[1]朱正伟,蒋建明,张锁龙,等.模糊控制理论在电动机软启动中的应用[J].常州大学学报(自然科学版),2008,(01):32.
　Z H U Zheng- w ei,JIAN G Jian- ming,ZH AN G Suo- long,et al.Application of Fuzzy Control Theory to the Soft Starting of Induction Motor[J].Journal of Changzhou University(Natural Science Edition),2008,(03):32.

备注/Memo

备注/Memo:
收稿日期:2019-11-26。
作者简介:束云豪(1994—),男,江苏常州人,硕士生。通信联系人:王政伟(1961—),E-mail:wangzhw@cczu.edu.cn
引用本文:束云豪,王政伟.基于PID的电加热锅炉控制算法研究[J]. 常州大学学报(自然科学版),2020,32(3):79-85.
更新日期/Last Update: 2020-06-11