Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm
This paper presents a control system design to stabilise a two-wheeled Lego EV3 robot. This robot is developed based on the inverted pendulum. The mathematical modelling is derived based on this robot and using Euler Lagrange equation and represented in Simulink block diagram. The fuzzy logic contro...
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ump-266812019-12-03T04:11:00Z http://umpir.ump.edu.my/id/eprint/26681/ Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm M. F., Maharuddin Normaniha, Abdul Ghani N. F., Jamin TK Electrical engineering. Electronics Nuclear engineering This paper presents a control system design to stabilise a two-wheeled Lego EV3 robot. This robot is developed based on the inverted pendulum. The mathematical modelling is derived based on this robot and using Euler Lagrange equation and represented in Simulink block diagram. The fuzzy logic controller is used to stabilise this robot with Particle Swarm Optimization algorithm for optimum performance of the system. The result of the fuzzy logic controller without optimisation is compared with the fuzzy logic controller with optimisation. Using the Simulink block diagram, the result of optimum tilt angle and control input signal are presented. The results show that the fuzzy logic controller with optimisation is able to improve the performance of the solution when compared to the fuzzy logic controller without optimisation. UTeM 2019 Article PeerReviewed pdf en cc_by http://umpir.ump.edu.my/id/eprint/26681/1/Two-Wheeled%20LEGO%20EV3%20Robot%20Stabilisation.pdf M. F., Maharuddin and Normaniha, Abdul Ghani and N. F., Jamin (2019) Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm. Journal of Telecommunication, Electronic and Computer Engineering, 10 (2-5). pp. 149-153. ISSN 2180-1843 (Print); 2289-8131 (Online) http://journal.utem.edu.my/index.php/jtec/article/view/4402 |
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TK Electrical engineering. Electronics Nuclear engineering |
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TK Electrical engineering. Electronics Nuclear engineering M. F., Maharuddin Normaniha, Abdul Ghani N. F., Jamin Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm |
description |
This paper presents a control system design to stabilise a two-wheeled Lego EV3 robot. This robot is developed based on the inverted pendulum. The mathematical modelling is derived based on this robot and using Euler Lagrange equation and represented in Simulink block diagram. The fuzzy logic controller is used to stabilise this robot with Particle Swarm Optimization algorithm for optimum performance of the system. The result of the fuzzy logic controller without optimisation is compared with the fuzzy logic controller with optimisation. Using the Simulink block diagram, the result of optimum tilt angle and control input signal are presented. The results show that the fuzzy logic controller with optimisation is able to improve the performance of the solution when compared to the fuzzy logic controller without optimisation. |
format |
Article |
author |
M. F., Maharuddin Normaniha, Abdul Ghani N. F., Jamin |
author_facet |
M. F., Maharuddin Normaniha, Abdul Ghani N. F., Jamin |
author_sort |
M. F., Maharuddin |
title |
Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm |
title_short |
Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm |
title_full |
Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm |
title_fullStr |
Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm |
title_full_unstemmed |
Two-wheeled LEGO EV3 Robot stabilisation control using fuzzy logic based PSO algorithm |
title_sort |
two-wheeled lego ev3 robot stabilisation control using fuzzy logic based pso algorithm |
publisher |
UTeM |
publishDate |
2019 |
url |
http://umpir.ump.edu.my/id/eprint/26681/ http://umpir.ump.edu.my/id/eprint/26681/ http://umpir.ump.edu.my/id/eprint/26681/1/Two-Wheeled%20LEGO%20EV3%20Robot%20Stabilisation.pdf |
first_indexed |
2023-09-18T22:41:41Z |
last_indexed |
2023-09-18T22:41:41Z |
_version_ |
1777416956964503552 |