DocumentCode
2291844
Title
Design and implementation of a constant selling oil automatic system based on fuzzy PID algorithm
Author
Wang Li ; Zhao Zheng ; Hui Yanbo ; Niu Qunfeng
Author_Institution
Sch. of Electr. Eng., Henan Univ. of Technol., Zhengzhou, China
fYear
2012
fDate
6-8 July 2012
Firstpage
1207
Lastpage
1211
Abstract
In this paper, we propose a novel strategy to design a reliable and practical constant selling oil automatic system,through the use of S7-226PLC, flow meter, inverter and other hardware devices. A kind of fuzzy PID control algorithm was researched to guarantee the system accuracy. The fuzzy PID controller can control the inverter output frequency by changing the voltage of the inverter and self-tuning PID parameters (Kp, Ki, Kd), and thus it controls the pump speed to achieve the demanded accuracy of the constant selling oil. Finally, the paper adopted C#.NET technology to design the management software. The software can accomplish system functions such as communication with PLC, realization remote control, data management and others. Experimental results and field running shows that the system achieves the accuracy,security and energy saving demands of the constant selling oil automatic system, also obtains a satisfactory control effect.
Keywords
adaptive control; chemical industry; control engineering computing; flowmeters; fuzzy control; oils; programmable controllers; self-adjusting systems; three-term control; C#.NET technology; S7-226PLC; constant selling oil automatic system; data management; energy saving demand; flow meter; fuzzy PID control algorithm; hardware device; inverter output frequency; inverter voltage; pump speed; realization remote control; security demand; self-tuning PID parameter; Control systems; Frequency control; Hardware; Inverters; Process control; Software; Valves; Automatic selling oil system; C#. NET; fuzzy PID algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation (WCICA), 2012 10th World Congress on
Conference_Location
Beijing
Print_ISBN
978-1-4673-1397-1
Type
conf
DOI
10.1109/WCICA.2012.6358065
Filename
6358065
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