Fuzzy logic controller for two wheeled EV3 LEGO robot
The unstable nature of a two-wheeled inverted pendulum system has raised attention many researchers to approach various controllers that can stabilize the system. Most researchers used Arduino and NXT LEGO robot as a platform to analyze the performance of the proposed controller. In this project, fu...
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ump-231792019-07-15T01:40:38Z http://umpir.ump.edu.my/id/eprint/23179/ Fuzzy logic controller for two wheeled EV3 LEGO robot M. A., Akmal Nurul Fadzlina, Jamin Normaniha, Abd Ghani TK Electrical engineering. Electronics Nuclear engineering The unstable nature of a two-wheeled inverted pendulum system has raised attention many researchers to approach various controllers that can stabilize the system. Most researchers used Arduino and NXT LEGO robot as a platform to analyze the performance of the proposed controller. In this project, fuzzy logic controller is used as a controller to stabilize the two wheeled EV3 LEGO robot through Simulink-Matlab simulation. The dynamic modelling of the system is derived using Euler-Lagrange method. Based on the proposed controller, the analysis of the simulation results show that the system achieves zero degree of tilt angle in less than 2 seconds. Various membership function of Fuzzy Logic control are tested and analyzed. The simulation results indicate that fuzzy logic controller can stabilize the two wheeled EV3 LEGO robot effectively. IEEE 2018-03 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/23179/1/Fuzzy%20logic%20controller%20for%20two%20wheeled%20EV3%20LEGO%20robot.pdf M. A., Akmal and Nurul Fadzlina, Jamin and Normaniha, Abd Ghani (2018) Fuzzy logic controller for two wheeled EV3 LEGO robot. In: IEEE Conference on Systems, Process and Control, ICSPC 2017, 15-16 December 2017 , Hatten Square, Melaka. pp. 134-139., 2018. ISBN 978-153860386-4 https://doi.org/10.1109/SPC.2017.8313035 |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering M. A., Akmal Nurul Fadzlina, Jamin Normaniha, Abd Ghani Fuzzy logic controller for two wheeled EV3 LEGO robot |
description |
The unstable nature of a two-wheeled inverted pendulum system has raised attention many researchers to approach various controllers that can stabilize the system. Most researchers used Arduino and NXT LEGO robot as a platform to analyze the performance of the proposed controller. In this project, fuzzy logic controller is used as a controller to stabilize the two wheeled EV3 LEGO robot through Simulink-Matlab simulation. The dynamic modelling of the system is derived using Euler-Lagrange method. Based on the proposed controller, the analysis of the simulation results show that the system achieves zero degree of tilt angle in less than 2 seconds. Various membership function of Fuzzy Logic control are tested and analyzed. The simulation results indicate that fuzzy logic controller can stabilize the two wheeled EV3 LEGO robot effectively. |
format |
Conference or Workshop Item |
author |
M. A., Akmal Nurul Fadzlina, Jamin Normaniha, Abd Ghani |
author_facet |
M. A., Akmal Nurul Fadzlina, Jamin Normaniha, Abd Ghani |
author_sort |
M. A., Akmal |
title |
Fuzzy logic controller for two wheeled EV3 LEGO robot |
title_short |
Fuzzy logic controller for two wheeled EV3 LEGO robot |
title_full |
Fuzzy logic controller for two wheeled EV3 LEGO robot |
title_fullStr |
Fuzzy logic controller for two wheeled EV3 LEGO robot |
title_full_unstemmed |
Fuzzy logic controller for two wheeled EV3 LEGO robot |
title_sort |
fuzzy logic controller for two wheeled ev3 lego robot |
publisher |
IEEE |
publishDate |
2018 |
url |
http://umpir.ump.edu.my/id/eprint/23179/ http://umpir.ump.edu.my/id/eprint/23179/ http://umpir.ump.edu.my/id/eprint/23179/1/Fuzzy%20logic%20controller%20for%20two%20wheeled%20EV3%20LEGO%20robot.pdf |
first_indexed |
2023-09-18T22:34:37Z |
last_indexed |
2023-09-18T22:34:37Z |
_version_ |
1777416512441679872 |