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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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Autores principales: Yunkang Zhou, Xiaohui He, Faming Shao, Xiangpo Zhang
Formato: Artigo
Lenguaje:Inglês
Publicado: MDPI AG 2024-10-01
Colección:Actuators
Materias:
explosive ordnance disposal manipulator
integrated simulation
control strategy
PSO-BP+PID
PID control
Acceso en línea:https://www.mdpi.com/2076-0825/13/10/386
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