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Update on Tuesday, 1 February 2022: Paper 51.Cnf-17 reaches 462 views.
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  • ElecEng
  • GC-ElecEng 2021
  • 35.Cnf-1176
ElecEng Congresses with Published Papers
GC-ElecEng 2020, Valencia
GC-ElecEng 2021, Valencia
Papers Published at GC-ElecEng 2021
All 11 Papers
IDAuthors and TitlePages
43.Cnf-38 Mr. Aron Kondoro
Ms. Diana Rwegasira
Prof. Imed Dhaou
Prof. Hannu Tenhunen
Trends of using blockchain technology in the smart grid
63.Cnf-75 Mr. Andres Rojas
Prof. Gordana J. Dolecek
Evaluation of Supervised Machine Learning Classification Algorithms for Fingerprint Recognition
62.Cnf-106 Mr. Joan Carles Montero
Ms. Merce Feliu
Dr. Joan Bas
Optical Communications Through Low Orbit Satellites
63.Cnf-140 Dr. Mohammad Al-Mousa
Mr. Nael Sweerky
Dr. Ghassan Samara
Dr. Mohammed Alghanim
Ms. Abla Hussein
Mr. Braa Qadoumi
General Countermeasures of Anti-Forensics Categories
62.Cnf-143 Dr. Ghassan Samara
Mr. Mohammad Hussein
Dr. Khalid Alqawasmi
Alarm System at street junctions (ASSJ) to avoid accidents Using VANET system
43.Cnf-1170 Mr. Zayd Khashshan
Dr. Moudar Zgoul
Optic Flow-based Vision System for Autonomous and Collision-free Navigation of Micro Aerial Vehicles
62.Cnf-1173 Mr. Fernando Salazar-Quiñonez
Prof. Raed Abd-Alhameed
Mr. Andrew Cowley
Mr. Derek Bladen
UHF Radio Extender System for Ship to Shore Communications using 3D SBR for Positioning
63.Cnf-1174 Prof. Gordana J. Dolecek
Improving Characteristics of Compensated Sharpened CIC Decimation Filters
35.Cnf-1175 Ms. Aika Silveira Miura
Ms. Mar Parra Boronat
Prof. Jaime Lloret
Prof. Miguel Rodilla
LED optical sensor prototype to determine dissolved oxygen saturation in water
35.Cnf-1176 Dr. Falih Alkhafaji
Modelling High speed Robotic Arm for Industrial Applications
43.Cnf-1177 Mr. Juan Luis Mayor Puyol
Dr. Victor Monzón Baeza
Bycicle Sharing System Using an IoT Network
35.Cnf-1176 Paper View Page
Title Modelling High speed Robotic Arm for Industrial Applications
Authors Dr. Falih Alkhafaji, Universiti Putra Malaysia, Selangor, Malaysia
Abstract his work reports the development of a handling robot arm model for industrial application, modelled as a five links with 5 Degree of freedom (DOF), using SimMechanics and SolidWorks as tools for designing and testing motion characteristics. To improve the speed performance of the mechanical system, it is designed a high speed proportional integral derivative (HSPID) controller based modified Genetic Algorithm (MGA).The paper presents a comparison between the controlled and uncontrolled systems in terms of response time characteristics rise time(tr), settling time(ts), and peak overshoot(PoS).The controller module resulted improved response time ratio (IMRTR) for shoulder, lower arm, upper arm, and wrist in terms of rise time(tr) by 1850, 17280, 20701, 13753 respectively, and settling time(ts) by121, 755, 879, 950. The efficiency of the method is confirmed by a case study, which is relating to trajectory planning. The main added value of the study is the elaboration and implementation of the new industrial robot to reduce cycle times significantly, by improving the reduction of response time characteristics. The innovative design offering the best solution to increase productivity with accurate performance to perform various tasks such as pick and place and assembly.
Track Robotics: Robotics Engineering and Applications
Conference 2nd Mosharaka International Conference on Emerging Applications of Electrical Engineering (MIC-ElectricApps 2021)
Congress 2021 Global Congress on Electrical Engineering (GC-ElecEng 2021), 10-12 December 2021, Valencia, Spain
Pages 52-61
Topics Robot Design and Control
Evolutional Robotics
ISSN 2227-331X
BibTeX @inproceedings{1176ElecEng2021,
title={Modelling High speed Robotic Arm for Industrial Applications},
author={Falih Alkhafaji},
booktitle={2021 Global Congress on Electrical Engineering (GC-ElecEng 2021)},
organization={Mosharaka for Research and Studies} }
Paper Views 62 Paper Views Rank 85/524
Paper Downloads 31 Paper Downloads Rank 145/524
GC-ElecEng 2021 Visits: 9429||MIC-ElectricApps 2021 Visits: 1455||Robotics Track Visits: 276