Issue |
MATEC Web Conf.
Volume 225, 2018
UTP-UMP-VIT Symposium on Energy Systems 2018 (SES 2018)
|
|
---|---|---|
Article Number | 06020 | |
Number of page(s) | 9 | |
Section | Economic, environmental, social, policy and utilization aspects of energy | |
DOI | https://doi.org/10.1051/matecconf/201822506020 | |
Published online | 05 November 2018 |
Adaptive Fuzzy / PD controller for Coupled Two Tank Liquid Levels system
1
Faculty of Engineering Technology, University Malaysia Pahang, Gambang 26300, Malaysia.
2
CARRIFF, University Malaysia Pahang, Gambang 26300, Malaysia.
3
Faculty of computer system and software Engineering, University Malaysia Pahang, Gambang 26300, Malaysia
4
Faculty of Mechanical Engineering, University Malaysia Pahang, Pekan 26600, Malaysia
* Corresponding author: thamirmathcad@yahoo.com
Liquid tank systems play important role in industrial application such as in food processing, beverage, dairy, filtration, effluent treatment, pharmaceutical industry, water purification system, industrial chemical processing and spray coating. A typical situation is one that requires fluid to be supplied to a tank at a constant rate which has Two-Input Two-Output (TITO). The accuracy and stability of TITO is one of the key factors of process which have cross coupling between process input and output. Unlike traditional neural network weight adaptation using gradient descent method, Fuzzy Adaptive PID control technique was utilized for adaptive tuning and fine tuning the controller’s parameters. Design approach for controlling liquid levels of Coupled Tank TITO system by using Fuzzy Adaptive PID controllers. Tuning method for parameters of improved Fuzzy Adaptive, Particle Swamp Optimization and Neural network controllers ware also discussed. Experimental results demonstrate that the performances of proposed method perform well compared with convention Fuzzy and Tuned Fuzzy controllers; it was shown that Fuzzy Adaptive controller exhibited better performance in terms of transient response analysis.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.