Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm

Robotic manipulator with a multi-link structure has a significant role in the majority of today’s industries. Controlling the motion of a multi-link manipulator, on the other hand, has proven to be a difficult task, especially when a flexible structure is used. This is due to the complexity of their...

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Main Authors: Amiera Aqilah, M. Rosnani, Muhamad Sukri, Hadi, Annisa, Jamali, Intan Zaurah, Mat Darus, Hanim, Mohd Yatim, Mat Hussin, Ab Talib
Format: Proceeding
Language:English
Published: 2023
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Online Access:http://ir.unimas.my/id/eprint/43412/3/Hub%20Angle.pdf
http://ir.unimas.my/id/eprint/43412/
https://ieeexplore.ieee.org/document/10217561
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spelling my.unimas.ir.434122023-11-21T01:35:32Z http://ir.unimas.my/id/eprint/43412/ Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm Amiera Aqilah, M. Rosnani Muhamad Sukri, Hadi Annisa, Jamali Intan Zaurah, Mat Darus Hanim, Mohd Yatim Mat Hussin, Ab Talib TJ Mechanical engineering and machinery Robotic manipulator with a multi-link structure has a significant role in the majority of today’s industries. Controlling the motion of a multi-link manipulator, on the other hand, has proven to be a difficult task, especially when a flexible structure is used. This is due to the complexity of their structures, which causes excessive vibration, resulting in system failure. The goal of this research is to eliminate excessive vibrations produced in order to maintain its efficiency and extend the life of the system. This can be accomplished by developing an intelligent controller for a double-link flexible robotics manipulator (DLFRM) using a proportional integral derivative (PID) controller approach and bacterial foraging optimization algorithm (BFOA) to tune the PID control parameters. BFOA is a new swarm intelligence optimization algorithm based on E. Coli’s foraging behavior. The BFOA is utilised to tune the PID controller parameters via simulation to achieve the optimum angle for both links present in the DLFRM using MATLAB/Simulink software. Not only that, the BFOA performance is analyzed and compared with conventional method (Ziegler-Nichols) in optimizing the PID controller used to control the hub angle of the manipulator. It is noticed that the PID controller tuned by BFOA exhibited reduced settling time, overshoot, raising time, and steady state error for both hub angles of the manipulator at link 1 and link 2. Then, the system robustness was tested using different types of sinusoidal disturbance and its durability is demonstrated by the fact that it can effectively reduce vibration when the drawback is moved under different disturbances. 2023-08-22 Proceeding PeerReviewed text en http://ir.unimas.my/id/eprint/43412/3/Hub%20Angle.pdf Amiera Aqilah, M. Rosnani and Muhamad Sukri, Hadi and Annisa, Jamali and Intan Zaurah, Mat Darus and Hanim, Mohd Yatim and Mat Hussin, Ab Talib (2023) Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm. In: 2023 13th International Conference on Power, Energy and Electrical Engineering (CPEEE), 25-27 February 2023, Tokyo, Japan. https://ieeexplore.ieee.org/document/10217561
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic TJ Mechanical engineering and machinery
spellingShingle TJ Mechanical engineering and machinery
Amiera Aqilah, M. Rosnani
Muhamad Sukri, Hadi
Annisa, Jamali
Intan Zaurah, Mat Darus
Hanim, Mohd Yatim
Mat Hussin, Ab Talib
Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm
description Robotic manipulator with a multi-link structure has a significant role in the majority of today’s industries. Controlling the motion of a multi-link manipulator, on the other hand, has proven to be a difficult task, especially when a flexible structure is used. This is due to the complexity of their structures, which causes excessive vibration, resulting in system failure. The goal of this research is to eliminate excessive vibrations produced in order to maintain its efficiency and extend the life of the system. This can be accomplished by developing an intelligent controller for a double-link flexible robotics manipulator (DLFRM) using a proportional integral derivative (PID) controller approach and bacterial foraging optimization algorithm (BFOA) to tune the PID control parameters. BFOA is a new swarm intelligence optimization algorithm based on E. Coli’s foraging behavior. The BFOA is utilised to tune the PID controller parameters via simulation to achieve the optimum angle for both links present in the DLFRM using MATLAB/Simulink software. Not only that, the BFOA performance is analyzed and compared with conventional method (Ziegler-Nichols) in optimizing the PID controller used to control the hub angle of the manipulator. It is noticed that the PID controller tuned by BFOA exhibited reduced settling time, overshoot, raising time, and steady state error for both hub angles of the manipulator at link 1 and link 2. Then, the system robustness was tested using different types of sinusoidal disturbance and its durability is demonstrated by the fact that it can effectively reduce vibration when the drawback is moved under different disturbances.
format Proceeding
author Amiera Aqilah, M. Rosnani
Muhamad Sukri, Hadi
Annisa, Jamali
Intan Zaurah, Mat Darus
Hanim, Mohd Yatim
Mat Hussin, Ab Talib
author_facet Amiera Aqilah, M. Rosnani
Muhamad Sukri, Hadi
Annisa, Jamali
Intan Zaurah, Mat Darus
Hanim, Mohd Yatim
Mat Hussin, Ab Talib
author_sort Amiera Aqilah, M. Rosnani
title Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm
title_short Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm
title_full Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm
title_fullStr Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm
title_full_unstemmed Hub Angle Control of Double Link Flexible Robotic Arm Manipulator Using PID Controller Tuned by Bacterial Foraging Optimization Algorithm
title_sort hub angle control of double link flexible robotic arm manipulator using pid controller tuned by bacterial foraging optimization algorithm
publishDate 2023
url http://ir.unimas.my/id/eprint/43412/3/Hub%20Angle.pdf
http://ir.unimas.my/id/eprint/43412/
https://ieeexplore.ieee.org/document/10217561
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score 13.159267