Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers
System modeling is an important task to develop a mathematical model that describes the dynamics of a system. The scope for this work consists of modeling and controller design for a particular system. A heating and ventilation model is the system to be modeled and will be perturbed by pseudo rando...
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| Format: | Article |
| Language: | English |
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JATIT & LLS
2014
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| Online Access: | http://umpir.ump.edu.my/id/eprint/7567/1/Tracking_Performances_Of_A_Hot_Air_Blower_System_Using_Different_Types_Of_Controllers.pdf |
| _version_ | 1796990286875852800 |
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| author | Ismail, Mohd Khairuddin Siti Fatimah, Sulaiman Khairuddin, Osman Mohd Fu'ad, Rahmat Amar Faiz, Zainal Abidin |
| author_facet | Ismail, Mohd Khairuddin Siti Fatimah, Sulaiman Khairuddin, Osman Mohd Fu'ad, Rahmat Amar Faiz, Zainal Abidin |
| author_sort | Ismail, Mohd Khairuddin |
| collection | UMP |
| description | System modeling is an important task to develop a mathematical model that describes the dynamics of a
system. The scope for this work consists of modeling and controller design for a particular system. A heating and ventilation model is the system to be modeled and will be perturbed by pseudo random binary sequences (PRBS) signal. Parametric approach using AutoRegressive with Exogenous input (ARX) model structure will be used to estimate the mathematical model or approximated model plant. In this work, the approximated plant model is estimated using System Identification approach. Once the mathematical model
is obtained, several controllers such as Self-Tuning Pole Assignment controller, Proportional-Integral- Derivative (PID) controller, and Generalized Minimum Variance (GMV) controller are designed and simulated in MATLAB. Finally, a comparative study based on simulation is analyzed and discussed in order to identify which controller deliver better performance in terms of the system’s tracking
performances. It is found from a simulation done that a Self-Tuning Pole Assignment Servo-Regulator controller with a small value of pole give a best performance in term of its ability to eliminate error (%) and produce zero percentage of overshoot (%), while GMV controller using PSO tuning method offers a fast rise-time (), settling time (), and also its ability in eliminating (%). |
| first_indexed | 2024-03-06T11:49:23Z |
| format | Article |
| id | UMPir7567 |
| institution | Universiti Malaysia Pahang |
| language | English |
| last_indexed | 2024-03-06T11:49:23Z |
| publishDate | 2014 |
| publisher | JATIT & LLS |
| record_format | dspace |
| spelling | UMPir75672018-02-28T05:11:46Z http://umpir.ump.edu.my/id/eprint/7567/ Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers Ismail, Mohd Khairuddin Siti Fatimah, Sulaiman Khairuddin, Osman Mohd Fu'ad, Rahmat Amar Faiz, Zainal Abidin TS Manufactures System modeling is an important task to develop a mathematical model that describes the dynamics of a system. The scope for this work consists of modeling and controller design for a particular system. A heating and ventilation model is the system to be modeled and will be perturbed by pseudo random binary sequences (PRBS) signal. Parametric approach using AutoRegressive with Exogenous input (ARX) model structure will be used to estimate the mathematical model or approximated model plant. In this work, the approximated plant model is estimated using System Identification approach. Once the mathematical model is obtained, several controllers such as Self-Tuning Pole Assignment controller, Proportional-Integral- Derivative (PID) controller, and Generalized Minimum Variance (GMV) controller are designed and simulated in MATLAB. Finally, a comparative study based on simulation is analyzed and discussed in order to identify which controller deliver better performance in terms of the system’s tracking performances. It is found from a simulation done that a Self-Tuning Pole Assignment Servo-Regulator controller with a small value of pole give a best performance in term of its ability to eliminate error (%) and produce zero percentage of overshoot (%), while GMV controller using PSO tuning method offers a fast rise-time (), settling time (), and also its ability in eliminating (%). JATIT & LLS 2014 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/7567/1/Tracking_Performances_Of_A_Hot_Air_Blower_System_Using_Different_Types_Of_Controllers.pdf Ismail, Mohd Khairuddin and Siti Fatimah, Sulaiman and Khairuddin, Osman and Mohd Fu'ad, Rahmat and Amar Faiz, Zainal Abidin (2014) Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers. Journal of Theoretical and Applied Information Technology, 69 (2). pp. 385-393. ISSN 1992-8645 (print); 817-3195 (online). (Published) http://www.jatit.org/volumes/Vol69No2/19Vol69No2.pdf |
| spellingShingle | TS Manufactures Ismail, Mohd Khairuddin Siti Fatimah, Sulaiman Khairuddin, Osman Mohd Fu'ad, Rahmat Amar Faiz, Zainal Abidin Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers |
| title | Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers |
| title_full | Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers |
| title_fullStr | Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers |
| title_full_unstemmed | Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers |
| title_short | Tracking Performances of A Hot Air Blower System Using Different Types Of Controllers |
| title_sort | tracking performances of a hot air blower system using different types of controllers |
| topic | TS Manufactures |
| url | http://umpir.ump.edu.my/id/eprint/7567/1/Tracking_Performances_Of_A_Hot_Air_Blower_System_Using_Different_Types_Of_Controllers.pdf |
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