Improvement of motion accuracy and energy consumption for industrial feed drive systems using adaptive sliding mode control

Research Authors
Abdallah Farrage, Naoki Uchiyama
Research Date
Research Journal
ISA transactions
Research Member
Abdallah Farrage Abdelrahiem Farrage
Research Pages
382-391
Research Publisher
Elsevier
Research Vol
106
Research Year
2020

Enhancement of Energy Saving and Precision Motion for Industrial Machines by Adaptive Sliding Mode Control and Friction Compensation

Research Authors
Abdallah Farrage, Naoki Uchiyama
Research Date
Research Department
Mechatronics Engineering Department
Research Journal
European Control Conference (ECC)
Research Member
Abdallah Farrage Abdelrahiem Farrage
Research Pages
1601-1606
Research Publisher
IEEE
Research Year
2020

Design and experimental verification of adaptive sliding mode control for motion accuracy and energy saving in industrial feed drive systems

Research Authors
Abdallah Farrage, Naoki Uchiyama
Research Date
Research Department
Mechatronics Engineering Department
Research Journal
2019 American Control Conference (ACC)
Research Member
Abdallah Farrage Abdelrahiem Farrage
Research Pages
1724-1729
Research Publisher
IEEE
Research Year
2019

Improvement of motion accuracy and energy consumption of a mechanical feed drive system using a Fourier series-based nonlinear friction model

Research Authors
Abdallah Farrage, Naoki Uchiyama
Research Department
Mechatronics Engineering Department
Research Journal
The International Journal of Advanced Manufacturing Technology
Research Member
Abdallah Farrage Abdelrahiem Farrage
Research Pages
1203-1214
Research Publisher
Springer
Research Vol
99
Research Year
2018

Trajectory Tracking of SCARA Robot with an Adaptive Neuro-Fuzzy Control Scheme

Research Authors
Abdallah Farrage AB Sharkawy, A. S. Ali, M-Emad Soliman, H. A. Mohamed
Research Date
Research Department
Mechatronics Engineering Department
Research Journal
International Journal of Engineering Research-Online
Research Member
Abdallah Farrage Abdelrahiem Farrage
Research Pages
512-520
Research Vol
3
Research Year
2015

Experimental Investigation of an Adaptive Neuro-Fuzzy Control Scheme for Industrial Robots

Research Authors
Abdallah Farrage, Abd el Badie Sharkawy, A. S. Ali, M-Emad S. Soliman, and Hany A. Mohamed
Research Department
Mechatronics Engineering Department
Research Journal
J. Eng. Sci. Fac. Eng. Univ.
Research Member
Abdallah Farrage Abdelrahiem Farrage
Research Pages
703–721
Research Vol
42
Research Year
2014
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