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Tuning of a PID Controller using Modified Dynamic Group based TLBO Algorithm

by Zhiyong Luo, Qi Guo, Jie Zhao, Shensheng Xu
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 1
Year of Publication: 2017
Authors: Zhiyong Luo, Qi Guo, Jie Zhao, Shensheng Xu
10.5120/ijca2017912593

Zhiyong Luo, Qi Guo, Jie Zhao, Shensheng Xu . Tuning of a PID Controller using Modified Dynamic Group based TLBO Algorithm. International Journal of Computer Applications. 157, 1 ( Jan 2017), 17-23. DOI=10.5120/ijca2017912593

@article{ 10.5120/ijca2017912593,
author = { Zhiyong Luo, Qi Guo, Jie Zhao, Shensheng Xu },
title = { Tuning of a PID Controller using Modified Dynamic Group based TLBO Algorithm },
journal = { International Journal of Computer Applications },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 1 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 17-23 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number1/26795-2016912593/ },
doi = { 10.5120/ijca2017912593 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:02:45.757355+05:30
%A Zhiyong Luo
%A Qi Guo
%A Jie Zhao
%A Shensheng Xu
%T Tuning of a PID Controller using Modified Dynamic Group based TLBO Algorithm
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 1
%P 17-23
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents a new version of Teaching Learning-Based Optimization (TLBO) algorithm to find the optimal parameters of Proportional Integral Derivative (PID) controller. The proposed algorithm is an altered version of dynamic group strategy TLBO (DGS-TLBO) and is named as modified dynamic group based TLBO (MDG-TLBO) algorithm.  The proposed algorithm is tested on 12 benchmark functions to verify its efficiency over other procedures. The results show that the MDG-TLBO algorithm offers better solution quality and has better convergence rate. Finally, the proposed algorithm is tested on  a three-tank liquid-level control system for the optimization of PID gains.  The simulation result indicate that the proposed algorithm is an effective method in tuning of PID controllers to obtain better performance measures the error values and the time domain specifications.

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Index Terms

Computer Science
Information Sciences

Keywords

Teaching-learning-based optimization Liquid-level controller

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