Open AccessConventional and Fuzzy Control for First Order Plus Dead Time Process Using Different Tuning Methods
Author(s) -
Khalid M. Mousa Al-zobai,
Dalya S. Makki
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1094/1/012104
Subject(s) - control theory (sociology) , fuzzy logic , dead time , fuzzy control system , closed loop , process (computing) , control system , control (management) , computer science , oscillation (cell signaling) , process control , mathematics , control engineering , engineering , artificial intelligence , statistics , electrical engineering , biology , genetics , operating system
This research discusses the performance of closed loop control system to control the first order process with dead time which represents most of the chemical processes. Proportional, proportional integral and proportional integral derivative controls were used to characterize the performance of the closed loop. Fuzzy logic control as advanced strategy was used to improve the characteristic of the response. Different tuning methods (Cohen-Coon, Ziegler Nichols and internal model) were used for tuning the controllers. The results showed that the fuzzy control greatly improves the performance of the closed loop system because the rise in the controlled variable is arrested more quickly, and it returns rapidly to the original value with little or no oscillation. Hence, the system is more stable with Fuzzy control.