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
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Abstract
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.
| Item Type: | Conference or Workshop Item (Lecture) |
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| Additional Information: | Indexed by SCOPUS |
| Uncontrolled Keywords: | Fuzzy logic controller; Two-wheel Lego EV3 robot and stabilization |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Mrs. Neng Sury Sulaiman |
| Date Deposited: | 15 Jul 2019 01:40 |
| Last Modified: | 15 Jul 2019 01:40 |
| URI: | http://umpir.ump.edu.my/id/eprint/23179 |
| Download Statistic: | View Download Statistics |
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