Non-linear optimal control for multi-DOF electro-hydraulic robotic manipulators

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Título: Non-linear optimal control for multi-DOF electro-hydraulic robotic manipulators
Autor/es: Rigatos, Gerasimos | Zervos, Nikolaos | Abbaszadeh, Masoud | Pomares, Jorge | Wira, Patrice
Grupo/s de investigación o GITE: Human Robotics (HURO)
Centro, Departamento o Servicio: Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal
Palabras clave: Non-linear optimal control | Multi-DOF | Electro-hydraulic robotic manipulators
Área/s de conocimiento: Ingeniería de Sistemas y Automática
Fecha de publicación: jun-2020
Editor: Institution of Engineering and Technology (IET) | Zhejiang University Press
Cita bibliográfica: IET Cyber-systems and Robotics. 2020, 2(2): 96-106. doi:10.1049/iet-csr.2020.0003
Resumen: A non-linear optimal (H-infinity) control approach is proposed for the dynamic model of multi-degree-of-freedom (DOF) electro-hydraulic robotic manipulators. Control of electro-hydraulic manipulators is a non-trivial problem because of their non-linear and multi-variable dynamics. In this study, the considered robotic system consists of a multi-link robotic manipulator that receives actuation from rotary electro-hydraulic drives. The article's approach relies first on approximate linearisation of the state-space model of the electro-hydraulic manipulator, according to first-order Taylor series expansion and the computation of the related Jacobian matrices. For the approximately linearised model of the manipulator, a stabilising H-infinity feedback controller is designed. To compute the controller's gains, an algebraic Riccati equation is solved at each time-step of the control algorithm. The global stability properties of the control scheme are proven through Lyapunov analysis. The proposed control method retains the advantages of typical optimal control, i.e. fast and accurate tracking of the reference setpoints under moderate variations of the control inputs.
URI: http://hdl.handle.net/10045/107541
ISSN: 2631-6315
DOI: 10.1049/iet-csr.2020.0003
Idioma: eng
Tipo: info:eu-repo/semantics/article
Derechos: This is an open access article published by the IET and Zhejiang University Press under the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Revisión científica: si
Versión del editor: https://doi.org/10.1049/iet-csr.2020.0003
Aparece en las colecciones:INV - HURO - Artículos de Revistas

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