Development of fuzzy logic controller for Quanser bench-top helicopter

Bench–top helicopter is a laboratory scale helicopter that usually used as a testing bench of the real helicopter behavior. This helicopter is a 3 Degree of Freedom (DOF) helicopter which works by three different axes which are elevation, pitch and travel. Thus, fuzzy logic controller has been propo...

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Main Authors: Jafri, Muhammad Hazwan, Mansor, Hasmah, Gunawan, Teddy Surya
Format: Proceeding Paper
Language:English
English
Published: IOP Science 2017
Subjects:
Online Access:http://irep.iium.edu.my/59738/
http://irep.iium.edu.my/59738/8/59738-Development%20of%20Fuzzy%20Logic%20Controller.pdf
http://irep.iium.edu.my/59738/9/59738-Development%20of%20Fuzzy%20Logic%20Controller%20for%20Quanser%20Bench-Top%20Helicopter_SCOPUS.pdf
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author Jafri, Muhammad Hazwan
Mansor, Hasmah
Gunawan, Teddy Surya
author_facet Jafri, Muhammad Hazwan
Mansor, Hasmah
Gunawan, Teddy Surya
author_sort Jafri, Muhammad Hazwan
building IIUM Repository
collection Online Access
description Bench–top helicopter is a laboratory scale helicopter that usually used as a testing bench of the real helicopter behavior. This helicopter is a 3 Degree of Freedom (DOF) helicopter which works by three different axes which are elevation, pitch and travel. Thus, fuzzy logic controller has been proposed to be implemented into Quanser bench-top helicopter because of its ability to work with non-linear system. The objective for this project is to design and apply fuzzy logic controller for Quanser bench-top helicopter. Other than that, fuzzy logic controller performance system has been simulated to analyze and verify its behavior over existing PID controller by using Matlab & Simulink software. In this research, fuzzy logic controller has been designed to control the elevation angle. After simulation has been performed, it can be seen that simulation result shows that fuzzy logic elevation control is working for 4°, 5° and 6°. These three angles produce zero steady state error and has a fast response. Other than that, performance comparisons have been performed between fuzzy logic controller and PID controller. Fuzzy logic elevation control has a better performance compared to PID controller where lower percentage overshoot and faster settling time have been achieved in 4°, 5° and 6° step response test. Both controller are have zero steady state error but fuzzy logic controller is managed to produce a better performance in term of settling time and percentage overshoot which make the proposed controller is reliable compared to the existing PID controller.
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format Proceeding Paper
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institution International Islamic University Malaysia
institution_category Local University
language English
English
last_indexed 2025-11-14T16:51:57Z
publishDate 2017
publisher IOP Science
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spelling iium-597382017-12-05T04:01:18Z http://irep.iium.edu.my/59738/ Development of fuzzy logic controller for Quanser bench-top helicopter Jafri, Muhammad Hazwan Mansor, Hasmah Gunawan, Teddy Surya TK Electrical engineering. Electronics Nuclear engineering Bench–top helicopter is a laboratory scale helicopter that usually used as a testing bench of the real helicopter behavior. This helicopter is a 3 Degree of Freedom (DOF) helicopter which works by three different axes which are elevation, pitch and travel. Thus, fuzzy logic controller has been proposed to be implemented into Quanser bench-top helicopter because of its ability to work with non-linear system. The objective for this project is to design and apply fuzzy logic controller for Quanser bench-top helicopter. Other than that, fuzzy logic controller performance system has been simulated to analyze and verify its behavior over existing PID controller by using Matlab & Simulink software. In this research, fuzzy logic controller has been designed to control the elevation angle. After simulation has been performed, it can be seen that simulation result shows that fuzzy logic elevation control is working for 4°, 5° and 6°. These three angles produce zero steady state error and has a fast response. Other than that, performance comparisons have been performed between fuzzy logic controller and PID controller. Fuzzy logic elevation control has a better performance compared to PID controller where lower percentage overshoot and faster settling time have been achieved in 4°, 5° and 6° step response test. Both controller are have zero steady state error but fuzzy logic controller is managed to produce a better performance in term of settling time and percentage overshoot which make the proposed controller is reliable compared to the existing PID controller. IOP Science 2017-11-07 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/59738/8/59738-Development%20of%20Fuzzy%20Logic%20Controller.pdf application/pdf en http://irep.iium.edu.my/59738/9/59738-Development%20of%20Fuzzy%20Logic%20Controller%20for%20Quanser%20Bench-Top%20Helicopter_SCOPUS.pdf Jafri, Muhammad Hazwan and Mansor, Hasmah and Gunawan, Teddy Surya (2017) Development of fuzzy logic controller for Quanser bench-top helicopter. In: 6th International Conference on Mechatronics (ICOM'17), 8th-9th August 2017, Kuala Lumpur. http://iopscience.iop.org/article/10.1088/1757-899X/260/1/012015/pdf 10.1088/1757-899X/260/1/012015
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Jafri, Muhammad Hazwan
Mansor, Hasmah
Gunawan, Teddy Surya
Development of fuzzy logic controller for Quanser bench-top helicopter
title Development of fuzzy logic controller for Quanser bench-top helicopter
title_full Development of fuzzy logic controller for Quanser bench-top helicopter
title_fullStr Development of fuzzy logic controller for Quanser bench-top helicopter
title_full_unstemmed Development of fuzzy logic controller for Quanser bench-top helicopter
title_short Development of fuzzy logic controller for Quanser bench-top helicopter
title_sort development of fuzzy logic controller for quanser bench-top helicopter
topic TK Electrical engineering. Electronics Nuclear engineering
url http://irep.iium.edu.my/59738/
http://irep.iium.edu.my/59738/
http://irep.iium.edu.my/59738/
http://irep.iium.edu.my/59738/8/59738-Development%20of%20Fuzzy%20Logic%20Controller.pdf
http://irep.iium.edu.my/59738/9/59738-Development%20of%20Fuzzy%20Logic%20Controller%20for%20Quanser%20Bench-Top%20Helicopter_SCOPUS.pdf