Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application
This project present on the design of distributed cooperative synchronization between master unit and slave unit. Within this project, two slave robot arms is connected over a network which the control signal of it will likely be share throughout and the data about every robot is exchange amongst th...
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| Format: | Monograph |
| Language: | English |
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Universiti Sains Malaysia
2018
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| Online Access: | http://eprints.usm.my/53481/ http://eprints.usm.my/53481/1/Distributed%20Cooperative%20Synchronization%20Control%20Of%202%20Articulated%20Robots%20For%20Industry%204.0%20Application_Mohamad%20Norhafifi%20Md%20Hanif_E3_2018.pdf |
| _version_ | 1848882540813746176 |
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| author | Md Hanif, Mohamad Norhafifi |
| author_facet | Md Hanif, Mohamad Norhafifi |
| author_sort | Md Hanif, Mohamad Norhafifi |
| building | USM Institutional Repository |
| collection | Online Access |
| description | This project present on the design of distributed cooperative synchronization between master unit and slave unit. Within this project, two slave robot arms is connected over a network which the control signal of it will likely be share throughout and the data about every robot is exchange amongst them. Cooperation and interconnected of the shared signal concept in series of robot arms to aim for same goal bring the spirit of industry 4.0. The system contains 3 parts which are control design, hardware environment and software environment. The master arm unit will interface with both slave unit by using Arduino Mega 2560 microcontroller. As it is distributed system, 2 Arduino Mega 2560 is used as different brain to control the slave robot arms. It also used to cooperate with MATLAB as all the command or block diagram to control the synchronization between master and both slave units comes from it. It is target to be implement in cooperative, remote or hazardous surroundings. To achieve excellent synchronization, phase lead compensated control is used to let the robot arms to move in accurate motion in the same manner between the interaction
of master feedback unit and both slave robot arms as the position error is reduced. The controlled system performance was measured by using Integral Absolute Error (IAE) to
observe the synchronization accuracy. |
| first_indexed | 2025-11-15T18:36:33Z |
| format | Monograph |
| id | usm-53481 |
| institution | Universiti Sains Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T18:36:33Z |
| publishDate | 2018 |
| publisher | Universiti Sains Malaysia |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | usm-534812022-07-20T07:23:13Z http://eprints.usm.my/53481/ Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application Md Hanif, Mohamad Norhafifi T Technology TK Electrical Engineering. Electronics. Nuclear Engineering This project present on the design of distributed cooperative synchronization between master unit and slave unit. Within this project, two slave robot arms is connected over a network which the control signal of it will likely be share throughout and the data about every robot is exchange amongst them. Cooperation and interconnected of the shared signal concept in series of robot arms to aim for same goal bring the spirit of industry 4.0. The system contains 3 parts which are control design, hardware environment and software environment. The master arm unit will interface with both slave unit by using Arduino Mega 2560 microcontroller. As it is distributed system, 2 Arduino Mega 2560 is used as different brain to control the slave robot arms. It also used to cooperate with MATLAB as all the command or block diagram to control the synchronization between master and both slave units comes from it. It is target to be implement in cooperative, remote or hazardous surroundings. To achieve excellent synchronization, phase lead compensated control is used to let the robot arms to move in accurate motion in the same manner between the interaction of master feedback unit and both slave robot arms as the position error is reduced. The controlled system performance was measured by using Integral Absolute Error (IAE) to observe the synchronization accuracy. Universiti Sains Malaysia 2018-06-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/53481/1/Distributed%20Cooperative%20Synchronization%20Control%20Of%202%20Articulated%20Robots%20For%20Industry%204.0%20Application_Mohamad%20Norhafifi%20Md%20Hanif_E3_2018.pdf Md Hanif, Mohamad Norhafifi (2018) Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Elektrik dan Elektronik. (Submitted) |
| spellingShingle | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering Md Hanif, Mohamad Norhafifi Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application |
| title | Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application |
| title_full | Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application |
| title_fullStr | Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application |
| title_full_unstemmed | Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application |
| title_short | Distributed Cooperative Synchronization Control Of 2 Articulated Robots For Industry 4.0 Application |
| title_sort | distributed cooperative synchronization control of 2 articulated robots for industry 4.0 application |
| topic | T Technology TK Electrical Engineering. Electronics. Nuclear Engineering |
| url | http://eprints.usm.my/53481/ http://eprints.usm.my/53481/1/Distributed%20Cooperative%20Synchronization%20Control%20Of%202%20Articulated%20Robots%20For%20Industry%204.0%20Application_Mohamad%20Norhafifi%20Md%20Hanif_E3_2018.pdf |