Artículo
Chance-constrained model predictive control for spacecraft rendezvous with disturbance estimation
Autor/es | Gavilán Jiménez, Francisco
Vázquez Valenzuela, Rafael Camacho, Eduardo F. |
Departamento | Universidad de Sevilla. Departamento de Ingeniería de Sistemas y Automática Universidad de Sevilla. Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos |
Fecha de publicación | 2012 |
Fecha de depósito | 2020-03-06 |
Publicado en |
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Resumen | A robust Model Predictive Controller (MPC) is used to solve the problem of spacecraft rendezvous, using the Hill–Clohessy–Wiltshire model with additive disturbances and line-of-sight constraints. Since a standard (non-robust) ... A robust Model Predictive Controller (MPC) is used to solve the problem of spacecraft rendezvous, using the Hill–Clohessy–Wiltshire model with additive disturbances and line-of-sight constraints. Since a standard (non-robust) MPC is not able to cope with disturbances, a robust MPC is designed using a chance-constrained approach for robust satisfaction of constraints in a probabilistic sense. Disturbances are modeled as Gaussian allowing for an explicit transformation of the probabilistic constraints into simple algebraic constraints. To estimate the distribution parameters a predictor of disturbances is proposed. Both robust and non-robust MPC control laws are compared using the Monte Carlo method, which shows the superiority of the robust MPC. |
Identificador del proyecto | DPI2008-05818
P07-TEP-02720. |
Cita | Gavilán Jiménez, F., Vázquez Valenzuela, R. y Fernández Camacho, E. (2012). Chance-constrained model predictive control for spacecraft rendezvous with disturbance estimation. Control Engineering Practice, 20 (2), 111-122. |
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