Bat optimization of hybrid neural network-FOPID controllers for robust robot manipulator control

Bat optimization of hybrid neural network-FOPID controllers for robust robot manipulator control

The position and trajectory tracking control of rigid-link robot manipulators suffers from problems such as poor accuracy, unstable performance, and response caused by unidentified loads and outside disturbances. In this paper, three control structures have been proposed to control a multi-input, mu...

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Bibliographic Details
Main Authors: Bashra Kadhim Oleiwi, Mohamed Jasim, Ahmad Taher Azar, Saim Ahmed, Ahmed Redha Mahlous
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-05-01
Series:Frontiers in Robotics and AI
Subjects:
trajectory tracking
neural network
neural network controller
PIPD controller
PID controller
FOPID controller
Online Access:https://www.frontiersin.org/articles/10.3389/frobt.2025.1487844/full
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