摘要
设计了基于模糊PID(比例积分微分)算法的药厂净化空调监控系统,该系统主要分为上位机、下位机、现场仪表和控制算法四个部分.上位机采用工业上常用的工控机,并使用组态王6.51进行软件编程;下位机使用西门子S7-200PLC及其扩展模块,并配以MT6070ih触摸屏进行操作,同时采用模块化的方法进行编程;现场仪表主要由JWSL-5ATD温度、湿度传感器、EE65风速变送器和ML7420A阀门执行器组成.设计了基于模糊控制和PID控制相结合的模糊PID控制算法,在PID控制的基础上,通过模糊规则进行模糊推理,查询模糊矩阵表进行参数自整定,从而实时调整PID各项参数,达到对系统的精确控制.运行结果显示:该系统与常规PID控制相比,超调量降低了9.1%,同时系统的调节时间减少了13.2%,大幅度提高了控制效果.
Purify air conditioning control system to pharmaceutical companies based on fuzzy PID （proportion integration differentiation）algorithms was designed.This system mainly consisted of four parts：host computer,the next crew,field instrumentations,and control algorithms.Industrial PC （personal computer）and programming software of Configuration King 6 .5 1 were used in the host computer.The next crew used Siemens S7-200PLC （programmable logic controller）,its expansion modules and a modular approach to program,and it was also accompanied by the MT6070ih touch screen operation.Field instruments were mainly composed by temperature and humidity sensors JWSL-5ATD,EE65 air velocity transmitters and ML7420A valve actuator.The fuzzy PID control al-gorithm was designed based on the combination of fuzzy control and PID control,and the PID control was based on fuzzy rules,query fuzzy matrix table to obtain parameter self-tuning,then it could ad-just the parameters of PID in real-time to achieve effective and accurate control of the system.The running results show that the overshot is reduced by 9 .1% and the response time of this system rea-ches a 13.2% reduction compared with conventional PID control,so the control effect is greatly en-hanced.
出处
《华中科技大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2014年第1期120-123,共4页
Journal of Huazhong University of Science and Technology(Natural Science Edition)
基金
湖北省自然科学基金资助项目(2010CDB11101)
关键词
净化空调系统
模糊控制
可编程控制器
模糊PID算法
仿真
air conditioning system
fuzzy control
programmable logic controller
fuzzy PID （pro-portion integration differentiation）algorithm
simulation
