Design of travel angle control of quanser bench-top helicopter using mamdani-based fuzzy logic controller

This research focuses on travel angle control of a laboratory scale bench-top helicopter developed by Quanser Inc. Bench top-helicopter is usually used by engineers and researchers to test their designed controllers before applying to the actual helicopter. Bench-top helicopter has the same behavior...

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Bibliographic Details
Main Authors: Mansor, Hasmah, Gunawan, Teddy Surya, Janin, Zuriati
Format: Article
Language:English
English
Published: 2020
Subjects:
Online Access:http://irep.iium.edu.my/77581/1/20653-39191-1-PB%20Published%202020%20Design%20of%20travel%20angle%20control.pdf
http://irep.iium.edu.my/77581/7/77581_Design%20of%20travel%20angle%20control%20of%20quanser%20bench-top%20helicopter%20using%20mamdani-based%20fuzzy%20logic%20controller_Scopus.pdf
http://irep.iium.edu.my/77581/
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Summary:This research focuses on travel angle control of a laboratory scale bench-top helicopter developed by Quanser Inc. Bench top-helicopter is usually used by engineers and researchers to test their designed controllers before applying to the actual helicopter. Bench-top helicopter has the same behavior as the real helicopter, with 3 degree of freedom. The bench-top helicopter is mounted on a flat surface with two rotors that depends on the voltage supplied to change the direction of the helicopter in 3 different angles. The movement of the helicopter is based on the direction of three-different angles; travel, pitch and yaw angles. The existing Linear Quadratic Regulator-Integral controller used by Quanser Inc has some limitations in terms of tracking capability and settling time; therefore, this research is proposed. The objective of this research is to develop Mamdani-based Fuzzy Logic Controller for travel angle control of bench-top helicopter. Performance comparison has been done with the existing Linear Quadratic Regulator-Integral controller in both simulation and hardware. From the test results, it was found that the performance of Fuzzy Logic Controller is better than LQR-I controller especially for closed-loop simulation at desired angle of 30°. The percentage of overshoot of the Fuzzy Logic Controller has been improved from the existing controller which is 4.912% compared to 7.002% for LQR-I.