Research on the Optimization of the PID Control Method for an EOD Robotic Manipulator Using the PSO Algorithm for BP Neural Networks

Research on the Optimization of the PID Control Method for an EOD Robotic Manipulator Using the PSO Algorithm for BP Neural Networks

Large-scale explosive ordnance disposal (EOD) robotic manipulators can replace manual EOD tasks, offering higher efficiency and better safety. This study focuses on the control strategies and response speeds of EOD robotic manipulators. Using Adams to establish the dynamic model of an EOD robotic ma...

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Bibliographic Details
Main Authors: Yunkang Zhou, Xiaohui He, Faming Shao, Xiangpo Zhang
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Actuators
Subjects:
explosive ordnance disposal manipulator
integrated simulation
control strategy
PSO-BP+PID
PID control
Online Access:https://www.mdpi.com/2076-0825/13/10/386
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