LQG control for dynamic positioning of floating caissons based on the Kalman filter

This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have be...

Descripción completa

Detalles Bibliográficos
Autores: Sainz Gutiérrez, José Joaquín, Revestido Herrero, Elías|||0000-0001-5374-2858, Llata García, J. R.|||0000-0002-6514-5847, González Sarabia, Esther, Velasco González, Francisco Jesús, Rodríguez Luis, Álvaro, Fernández Ruano, Sergio, Guanche García, Raúl
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad de Cantabria (UC)
Repositorio:UCrea Repositorio Abierto de la Universidad de Cantabria
Idioma:inglés
OAI Identifier:oai:repositorio.unican.es:10902/22740
Acceso en línea:http://hdl.handle.net/10902/22740
Access Level:acceso abierto
Palabra clave:LQG
Dynamic positioning
Kalman filter
Linear quadratic regulator (LQR)
Descripción
Sumario:This paper presents the application of an linear quadratic gaussian (LQG) control strategy for concrete caisson deployment for marine structures. Currently these maneuvers are carried out manually with the risk that this entails. Control systems for these operations with classical regulators have begun to be implemented. They try to reduce risks, but they still need to be optimized due to the complexity of the dynamics involved during the sinking process and the contact with the sea bed. A linear approximation of the dynamic model of the caisson is obtained and an LQG control strategy is implemented based on the Kalman filter (KF). The results of the proposed LQG control strategy are compared to the ones given by a classic controller. It is noted that the proposed system is positioned with greater precision and accuracy, as shown in the different simulations and in the Monte Carlo study. Furthermore, the control efforts are less than with classical regulators. For all the reasons cited above, it is concluded that there is a clear improvement in performance with the control system proposed.