COVID-19 Optimization-Based Vibration Controller for a Flexible Manipulator

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Author(s): Mehmet Mert İlman (Manisa Celal Bayar University, Turkey)and Yılmaz Seryar Arıkuşu (Manisa Celal Bayar University, Turkey)
Copyright: 2023
Pages: 17
Source title: Trends, Paradigms, and Advances in Mechatronics Engineering
Source Author(s)/Editor(s): Mohamed Arezki Mellal (M'Hamed Bougara University, Algeria)
DOI: 10.4018/978-1-6684-5887-7.ch005

Keywords: Engineering Science Reference / Mechanical Engineering / Science & Engineering

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Abstract

Flexible manipulator real-time vibration control methods are effective, but finding the right control gain is difficult. The reason for this is that traditional approaches are not permitted by up-to-date and novel architectures. Current population-based meta-heuristic optimization approaches, on the other hand, can provide solutions for such challenges, as they are inspired by many natural phenomena. Therefore, in the study, the Coronavirus herd immunity optimization (CHIO) method, inspired by the herd immunity mechanism, which is a COVID-19 control method, was used for the optimization of a flexible manipulator control gains. Gray-wolf-optimizer (GWO), another up-to-date population-based algorithm, and traditional particle swarm optimizer (PSO) were used to compare the success of the method. The findings reveal that when it comes to optimizing the vibration controller gains of flexible manipulators, CHIO can outperform its contemporary and traditional competitors.

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COVID-19 Optimization-Based Vibration Controller for a Flexible Manipulator

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