Abdullah Cakan

PhD, Visiting Scholar



Contact

Abdullah Cakan


Curriculum vitae


[email protected], [email protected]


Mechanical Engineering, Konya Technical University

Industrial and Systems Engineering, Virginia Tech




Abdullah Cakan

PhD, Visiting Scholar


[email protected], [email protected]


Mechanical Engineering, Konya Technical University

Industrial and Systems Engineering, Virginia Tech



Cascade Proportional Derivative Controller For A Flexible Link Robot Manipulator Using The Bees Algorithm


Journal article


Mehmet Sefa Gümüş, Abdullah Çakan, Mete Kalyoncu
Academic Platform Journal of Engineering and Smart Systems, 2023

Semantic Scholar DOI
Cite

Cite

APA   Click to copy
Gümüş, M. S., Çakan, A., & Kalyoncu, M. (2023). Cascade Proportional Derivative Controller For A Flexible Link Robot Manipulator Using The Bees Algorithm. Academic Platform Journal of Engineering and Smart Systems.


Chicago/Turabian   Click to copy
Gümüş, Mehmet Sefa, Abdullah Çakan, and Mete Kalyoncu. “Cascade Proportional Derivative Controller For A Flexible Link Robot Manipulator Using The Bees Algorithm.” Academic Platform Journal of Engineering and Smart Systems (2023).


MLA   Click to copy
Gümüş, Mehmet Sefa, et al. “Cascade Proportional Derivative Controller For A Flexible Link Robot Manipulator Using The Bees Algorithm.” Academic Platform Journal of Engineering and Smart Systems, 2023.


BibTeX   Click to copy

@article{mehmet2023a,
  title = {Cascade Proportional Derivative Controller For A Flexible Link Robot Manipulator Using The Bees Algorithm},
  year = {2023},
  journal = {Academic Platform Journal of Engineering and Smart Systems},
  author = {Gümüş, Mehmet Sefa and Çakan, Abdullah and Kalyoncu, Mete}
}

Abstract

In this study, a flexible robot arm model and the design of its controller are introduced. The robot arm consists of a single flexible link. It is desired to control the circular position of the robot arm and the vibration of the tip point. Cascade proportional derivative controller was used to control the position and reduce the tip vibration. Controller gains were found using the bees algorithm. The weighted function of system responses such as settling time, maximum overshoot, steady-state error is used as a performance criterion while searching for the best parameters. In addition, controller gains were obtained with the genetic algorithm to evaluate the working performance of the bees algorithm. It has been observed that the Cascade PD controller, whose gains are optimized by the bees algorithm, successfully controls the flexible robot arm system and reduces the vibration of the tip point.





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