Intelligent fuzzy controller of twin-rotor MIMO system

An assessment on flight control system of an aircraft system was done based on time response performance on intelligent controller of fuzzy logic control (FLC). The assessment was compared with modern controller of linear quadratic controller (LQR). Firstly a mathematical model of a two Degree of Fr...

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Main Authors: Che Soh, Azura, Yeo, Lay Ting
Format: Conference or Workshop Item
Language:English
Published: 2012
Online Access:http://psasir.upm.edu.my/id/eprint/35314/1/Intelligent%20Fuzzy%20Controller%20of%20Twin-Rotor%20MIMO%20system_2012.pdf
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author Che Soh, Azura
Yeo, Lay Ting
author_facet Che Soh, Azura
Yeo, Lay Ting
author_sort Che Soh, Azura
collection UPM
description An assessment on flight control system of an aircraft system was done based on time response performance on intelligent controller of fuzzy logic control (FLC). The assessment was compared with modern controller of linear quadratic controller (LQR). Firstly a mathematical model of a two Degree of Freedom (2-DOF) helicopter was derived to describe the dynamic of the aircraft. Then FLC was developed to control the pitch angle of 2-DOF helicopter so that disturbance has minimal effect on pitch and yaw control. The fuzzy logic controller designed is similar to a proportional controller where only error and change of error are used as inputs into the controller. Simulation was conducted using Matlab Simulink software where Simulink model of 2DOF helicopter which developed by Quanser was used and modification was mainly done on the controller subsystem part where a FLC was added. The simulation results for the pitch and yaw response controllers were presented in time domain. The performances of both pitch and yaw control systems were analyzed through step’s response, thus to achieve better performance.
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spelling upm.eprints-353142016-10-11T02:54:54Z http://psasir.upm.edu.my/id/eprint/35314/ Intelligent fuzzy controller of twin-rotor MIMO system Che Soh, Azura Yeo, Lay Ting An assessment on flight control system of an aircraft system was done based on time response performance on intelligent controller of fuzzy logic control (FLC). The assessment was compared with modern controller of linear quadratic controller (LQR). Firstly a mathematical model of a two Degree of Freedom (2-DOF) helicopter was derived to describe the dynamic of the aircraft. Then FLC was developed to control the pitch angle of 2-DOF helicopter so that disturbance has minimal effect on pitch and yaw control. The fuzzy logic controller designed is similar to a proportional controller where only error and change of error are used as inputs into the controller. Simulation was conducted using Matlab Simulink software where Simulink model of 2DOF helicopter which developed by Quanser was used and modification was mainly done on the controller subsystem part where a FLC was added. The simulation results for the pitch and yaw response controllers were presented in time domain. The performances of both pitch and yaw control systems were analyzed through step’s response, thus to achieve better performance. 2012 Conference or Workshop Item PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/35314/1/Intelligent%20Fuzzy%20Controller%20of%20Twin-Rotor%20MIMO%20system_2012.pdf Che Soh, Azura and Yeo, Lay Ting (2012) Intelligent fuzzy controller of twin-rotor MIMO system. In: International Conference on Electrical, Computer, Electronics and Communication Engineering (ICECECE 2012), 6-7 Dec. 2012, Penang, Malaysia. (pp. 17-22).
spellingShingle Che Soh, Azura
Yeo, Lay Ting
Intelligent fuzzy controller of twin-rotor MIMO system
title Intelligent fuzzy controller of twin-rotor MIMO system
title_full Intelligent fuzzy controller of twin-rotor MIMO system
title_fullStr Intelligent fuzzy controller of twin-rotor MIMO system
title_full_unstemmed Intelligent fuzzy controller of twin-rotor MIMO system
title_short Intelligent fuzzy controller of twin-rotor MIMO system
title_sort intelligent fuzzy controller of twin rotor mimo system
url http://psasir.upm.edu.my/id/eprint/35314/1/Intelligent%20Fuzzy%20Controller%20of%20Twin-Rotor%20MIMO%20system_2012.pdf
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AT yeolayting intelligentfuzzycontrolleroftwinrotormimosystem