Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms
In order to provide the comfortable areas for human, the comfortable rooms are the basic needs area, controlled temperature, and relative humidity (RH). The aim of this study is to control and maintain the temperature and RH of the comfortable room using a proportional integral derivative (PID) cont...
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Wiley
2020-01-01
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Series: | Journal of Control Science and Engineering |
Online Access: | http://dx.doi.org/10.1155/2020/2596549 |
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author | K. Janprom W. Permpoonsinsup S. Wangnipparnto |
author_facet | K. Janprom W. Permpoonsinsup S. Wangnipparnto |
author_sort | K. Janprom |
collection | DOAJ |
description | In order to provide the comfortable areas for human, the comfortable rooms are the basic needs area, controlled temperature, and relative humidity (RH). The aim of this study is to control and maintain the temperature and RH of the comfortable room using a proportional integral derivative (PID) controller tuned by metaheuristic optimization. In tuning gains of the PID controller, the modern metaheuristic optimizations, ant colony optimization (ACO), and symbiotic organism search (SOS) are applied and the performance of the proposed control system is compared to that of the traditional methods. In the experimental testing, the controlled room size is tested in the area of width 7.80 m, length 8.00 m, and height 3.80 m. The simulation results show that the performance of the proposed control system-tuned gains of PID controllers by using SOS algorithm has the least steady-state error with 15% rise time and also the overshoot can reach the setpoint. In the case of disturbance occurring in the system, the proposed control system is able to approach the setpoint. Therefore, the PID controller tuned by SOS algorithm can regulate the temperature and humidity of the comfortable room, proficiently. |
format | Article |
id | doaj-art-7e2b11583af94247828e6c90d8bbcf42 |
institution | Kabale University |
issn | 1687-5249 1687-5257 |
language | English |
publishDate | 2020-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Control Science and Engineering |
spelling | doaj-art-7e2b11583af94247828e6c90d8bbcf422025-02-03T01:05:24ZengWileyJournal of Control Science and Engineering1687-52491687-52572020-01-01202010.1155/2020/25965492596549Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable RoomsK. Janprom0W. Permpoonsinsup1S. Wangnipparnto2Faculty of Engineering, Pathumwan Institute of Technology, Bangkok 10330, ThailandFaculty of Science and Technology, Pathumwan Institute of Technology, Bangkok 10330, ThailandFaculty of Engineering, Pathumwan Institute of Technology, Bangkok 10330, ThailandIn order to provide the comfortable areas for human, the comfortable rooms are the basic needs area, controlled temperature, and relative humidity (RH). The aim of this study is to control and maintain the temperature and RH of the comfortable room using a proportional integral derivative (PID) controller tuned by metaheuristic optimization. In tuning gains of the PID controller, the modern metaheuristic optimizations, ant colony optimization (ACO), and symbiotic organism search (SOS) are applied and the performance of the proposed control system is compared to that of the traditional methods. In the experimental testing, the controlled room size is tested in the area of width 7.80 m, length 8.00 m, and height 3.80 m. The simulation results show that the performance of the proposed control system-tuned gains of PID controllers by using SOS algorithm has the least steady-state error with 15% rise time and also the overshoot can reach the setpoint. In the case of disturbance occurring in the system, the proposed control system is able to approach the setpoint. Therefore, the PID controller tuned by SOS algorithm can regulate the temperature and humidity of the comfortable room, proficiently.http://dx.doi.org/10.1155/2020/2596549 |
spellingShingle | K. Janprom W. Permpoonsinsup S. Wangnipparnto Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms Journal of Control Science and Engineering |
title | Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms |
title_full | Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms |
title_fullStr | Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms |
title_full_unstemmed | Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms |
title_short | Intelligent Tuning of PID Using Metaheuristic Optimization for Temperature and Relative Humidity Control of Comfortable Rooms |
title_sort | intelligent tuning of pid using metaheuristic optimization for temperature and relative humidity control of comfortable rooms |
url | http://dx.doi.org/10.1155/2020/2596549 |
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