Online Tuning PID using Fuzzy Logic Controller with Self-Tuning Method

2013 IEEE 3rd International Conference on System Engineering and Technology, 19 - 20 Aug. 2013, Shah Alam, Malaysia
Online Tuning PID using Fuzzy Logic Controller with Self-Tuning Method
Zuraida Muhammad, Zakiah Mohd Yusoff, Nurhani Kasuan, Mohd Noor Nasriq Nordin, Mohd Hezri Fazalul Rahiman, Mohd Nasir Taib
muhammmad_zuraida@yahoo.com
#Faculty of Electrical Engineering, UiTM Shah Alam,Selangor, Malaysia
Abstract
Steam temperature during the extraction process has a significant influence on oil quality. Recent research aims to develop a new control technique to regulate steam temperature. PID has a simple structure, straight forward implementation and is easy to handle, especially when dealing with the industrial process. The challenge during design of the PID is to tune the PID parameters gain that are suited to the plant. To overcome this problem, the online tuning PID using the fuzzy logic controller with self-tuning method is utilized to regulate the steam temperature.
From the result, the performance of self-tuning fuzzy PID (STFPID) demonstrated good improvement in terms of process dynamic characteristics, which are: process rise time, process settling time, percent overshoot and steady state error. Authors propose a control technique which has shown the ability to track any parameter changes and provides fast recovery of the output response during disturbance period.
Self-tuning fuzzy PID is categorized as adaptive control where automatically tuned the gain of PID control. By combination of fuzzy set and PID control, performance of step response transient analysis should be improved. The output of fuzzy set from the error and derivation error was used to tune the PID parameters with appropriate value.
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