Title :
Design of self-tuning PID controller with fuzzy variable parameters based on LabView
Author :
Jian Yu;Changliang Liu
Author_Institution :
Automation Department, North China Electric Power University, Baoding, China
Abstract :
In industrial production, PID control technology is still in a dominant position. But the PID controllers without well-tuned parameters will seriously affect, resulting in a large waste of resources as well as lack of efficiency and safety of production. Instead of manual tuning, modern complex industrial process demands a common computing program to get the tuning task done, so the self-tuning PID technology make a huge progress. Still the limitation of correspondence is hard to overcome. In this paper, a design of PID auto-tuning procedure based on LabView is introduced to solve this problem, which is compatible of the majority of communication with VISA interface. Selecting fuzzy tuning as the self-tuning method, it carries out real-time PID controller parameter tuning according to fuzzy rules. This article firstly accomplishes the design and simulation of process control with LabView toolkit, and then the practical temperature control of Zirconia Oxygen analyzer. The outcome verifies the capability and operability of the design.
Keywords :
"Tuning","Process control","Instruments","PD control","Fuzzy control","Production","Mathematical model"
Conference_Titel :
Information and Automation, 2015 IEEE International Conference on
DOI :
10.1109/ICInfA.2015.7279721