A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control

The development of a Self Tuning Fuzzy proportional-integral-derivative (PID) controller was done to be compared with the conventional controller that is being used in a direct current (DC) motor. Simulation study is used to overcome the appearance of nonlinearities and uncertainties in the system w...

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Main Authors: Sim, S.Y., Goh, H.H., Utomo, W.M., Buswig, Y.M.Y., Lim, A.J.M.S., Goh, K.C., Zin, N.M., Cham, C.L., Ahmad, M.Y.
Format: Article
Language:English
Published: African Journal Online (AJOL) 2018
Subjects:
Online Access:http://eprints.uthm.edu.my/5585/
http://eprints.uthm.edu.my/5585/1/AJ%202018%20%28234%29.pdf
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author Sim, S.Y.
Goh, H.H.
Utomo, W.M.
Buswig, Y.M.Y.
Lim, A.J.M.S.
Goh, K.C.
Zin, N.M.
Cham, C.L.
Ahmad, M.Y.
author_facet Sim, S.Y.
Goh, H.H.
Utomo, W.M.
Buswig, Y.M.Y.
Lim, A.J.M.S.
Goh, K.C.
Zin, N.M.
Cham, C.L.
Ahmad, M.Y.
author_sort Sim, S.Y.
building UTHM Institutional Repository
collection Online Access
description The development of a Self Tuning Fuzzy proportional-integral-derivative (PID) controller was done to be compared with the conventional controller that is being used in a direct current (DC) motor. Simulation study is used to overcome the appearance of nonlinearities and uncertainties in the system with the proposed controller for the armature voltage controlled DC motors. Each parameter of the Fuzzy-PID controller is self tuned using 49 fuzzy rules in the fuzzy logic controller. The proportional, integral and derivative (KP,KI,KD) gains of the PID controller is being tuned by the controller. Different types of membership functions are evaluated in the fuzzy control and the best performance will be used in Fuzzy-PID for comparative analysis with the conventional PID.The FIS editor from MATLAB defines the membership function and the rules. Load disturbances from a variety of speed response and the step response are simulated from different scenarios.The Fuzzy PID has resulted to be more robust and it is insensitive to variations in the parameters
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institution Universiti Tun Hussein Onn Malaysia
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language English
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publishDate 2018
publisher African Journal Online (AJOL)
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spelling uthm-55852022-01-17T01:45:31Z http://eprints.uthm.edu.my/5585/ A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control Sim, S.Y. Goh, H.H. Utomo, W.M. Buswig, Y.M.Y. Lim, A.J.M.S. Goh, K.C. Zin, N.M. Cham, C.L. Ahmad, M.Y. T Technology (General) TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General) The development of a Self Tuning Fuzzy proportional-integral-derivative (PID) controller was done to be compared with the conventional controller that is being used in a direct current (DC) motor. Simulation study is used to overcome the appearance of nonlinearities and uncertainties in the system with the proposed controller for the armature voltage controlled DC motors. Each parameter of the Fuzzy-PID controller is self tuned using 49 fuzzy rules in the fuzzy logic controller. The proportional, integral and derivative (KP,KI,KD) gains of the PID controller is being tuned by the controller. Different types of membership functions are evaluated in the fuzzy control and the best performance will be used in Fuzzy-PID for comparative analysis with the conventional PID.The FIS editor from MATLAB defines the membership function and the rules. Load disturbances from a variety of speed response and the step response are simulated from different scenarios.The Fuzzy PID has resulted to be more robust and it is insensitive to variations in the parameters African Journal Online (AJOL) 2018 Article PeerReviewed text en http://eprints.uthm.edu.my/5585/1/AJ%202018%20%28234%29.pdf Sim, S.Y. and Goh, H.H. and Utomo, W.M. and Buswig, Y.M.Y. and Lim, A.J.M.S. and Goh, K.C. and Zin, N.M. and Cham, C.L. and Ahmad, M.Y. (2018) A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control. Journal of Fundamental and Applied Sciences, 10 (5S). pp. 282-297. ISSN 1112-9867
spellingShingle T Technology (General)
TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
Sim, S.Y.
Goh, H.H.
Utomo, W.M.
Buswig, Y.M.Y.
Lim, A.J.M.S.
Goh, K.C.
Zin, N.M.
Cham, C.L.
Ahmad, M.Y.
A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control
title A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control
title_full A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control
title_fullStr A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control
title_full_unstemmed A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control
title_short A comparative study of conventional PID and intelligent Fuzzy-PID FordDC motor speed control
title_sort comparative study of conventional pid and intelligent fuzzy-pid forddc motor speed control
topic T Technology (General)
TJ210.2-211.47 Mechanical devices and figures. Automata. Ingenious mechanisms. Robots (General)
url http://eprints.uthm.edu.my/5585/
http://eprints.uthm.edu.my/5585/1/AJ%202018%20%28234%29.pdf