Covid-19 optimization-based vibration controller for a flexible manipulator
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Date
2022
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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. © 2023 by IGI Global. All rights reserved.