Diseño de par calculado robusto no lineal basado en observación: una solución por medio de desigualdades matriciales lineales

[EN] Robustness of the well-known computed-torque technique is twofold improved in this paper: on the one hand, the inner-loop control law is made exclusively dependent on user-generated signals whose accuracy is no longer affected by noise or numerical errors; on the other hand, the outer-loop cont...

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Detalles Bibliográficos
Autores: Díaz, Jesús Alonso, Estrada-Manzo, Víctor, Bernal, Miguel
Tipo de recurso: artículo
Fecha de publicación:2024
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:español
OAI Identifier:oai:riunet.upv.es:10251/205961
Acceso en línea:https://riunet.upv.es/handle/10251/205961
Access Level:acceso abierto
Palabra clave:Nonlinear Control
Euler–Lagrange Systems
Lyapunov methods
Nonlinear observers
Robust linear matrix inequalities
Control no lineal
Sistemas Euler–Lagrange
Métodos de Lyapunov
Filtros no lineales
Desigualdades matriciales lineales robustas
Descripción
Sumario:[EN] Robustness of the well-known computed-torque technique is twofold improved in this paper: on the one hand, the inner-loop control law is made exclusively dependent on user-generated signals whose accuracy is no longer affected by noise or numerical errors; on the other hand, the outer-loop control law is based on available positions and observer-based estimations of the velocities. Both the controller and the observer are nonlinear structures designed via linear matrix inequalities arising from the application of a recently appeared factorization. Asymptotic convergence of the tracking and estimation errors is guaranteed via Lyapunovbased analysis. The proposal is put at test in a variety of Lagrange-Euler systems where advantages over standard computed-torque techniques are confirmed, both in simulation and real-time setups.