吉林大学学报(信息科学版)

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基于新型模糊 PID 算法的恒温控制系统研究

胡冬雪,张宗达,王 睿,杨 罕   

  1. 吉林大学 电子科学与工程学院,长春 130012
  • 收稿日期:2018-01-04 出版日期:2018-05-24 发布日期:2018-07-25
  • 通讯作者: 杨罕( 1972— ) ,男,长春人,吉林大学教授,硕士生导师,主要从事嵌入式系统设计研究,( Tel) 86-13089111878( E-mail) yanghan@ jlu. edu. cn。
  • 作者简介:胡冬雪( 1992— ) ,女,吉林松原人,吉林大学硕士研究生,主要从事嵌入式应用研究,( Tel) 86-18943953762( E-mail) hudongxuea@ 163. com; 通讯作者: 杨罕( 1972— ) ,男,长春人,吉林大学教授,硕士生导师,主要从事嵌入式系统设计 研究,( Tel) 86-13089111878( E-mail) yanghan@ jlu. edu. cn。
  • 基金资助:
    长春市地院( 校、所) 合作专项基金资助项目( 17DY021)

Research on Constant Temperature Control System Based on Novel Fuzzy-PID Control Algorithm

HU Dongxue,ZHANG Zongda,WANG Rui,YANG Han   

  1. College of Electronic Science and Engineering,Jilin University,Changchun 130012,China
  • Received:2018-01-04 Online:2018-05-24 Published:2018-07-25

摘要: 为解决传统恒温控制在工农业应用中自动化程度低、精准度不高以及稳定性差等问题,设计了一种基于新型模糊 PID( Proportion Integration Differentiation) 控制理论的自动控制系统。该系统应用 STM32 芯片对温度量进行采集和实时控制,使用矩阵键盘和液晶屏作为人机交互设备,引入新型模糊 PID 控制算法,构建新型模糊PID 控制器,通过迭代算法整定比例、积分和微分参数值,得到加热控制量,控制器根据该控制量按对应的PWM( Pulse Width Modulation) 高电平占空比输出电流量对半导体制冷片进行加热。实验表明,该系统能快速采集系统温度并进行实时控制,将系统温度稳定在预期温度,系统理论绝对误差为 0. 1 ℃ ,实际测量误差为0. 5 ℃ 。系统较好地实现了温度自动检测与控制,解决了自动化程度低、精准度不高以及稳定性差的问题。

关键词: 新型模糊 PID 控制, 迭代算法, 精准, 自动化

Abstract: In order to solve the problems of traditional constant temperature control in industrial and agricultural applications,such as low automation level,low precision and poor stability,an automatic control system based on novel fuzzy-PID ( Proportion Integration Differentiation) control theory is designed. STM32 microcontroller is used to collect temperature and control,matrix keyboard and LCD ( Liquid Crystal Display) screen are used as human-computer interaction equipment,the novel fuzzy-PID control algorithm is used to construct the fuzzy-PID controller,the parameter values of proportion,integration,differentiation are processed by iterative algorithm. The semiconductor chiller is heated by the corresponding PWM ( Pulse Width Modulation) high level duty ratio output current based on the control quantity. The experimental results show that the system can quickly collect the temperature data of the system and control the system in real time,stabilize the temperature of the system at the expected temperature,the absolute error of the system is 0. 1 ℃ in theory,the actual measurement error is 0. 5 ℃. The system could achieve a better automatic detection and control of temperature with reliable performance,and solve the above problems.

Key words: accurate, automation, novel fuzzy-proportion integration differentiation ( PID) control, iterative algorithm

中图分类号: 

  • TP273