| Título: | Ship Dynamic Positioning Systems Based on Fuzzy Predictive Control |
| Autores: |
Liyun, Wang; Shanghai Maritime University Jianmei, Xiao; Shanghai Maritime University Xihuai, Wang; Shanghai Maritime University |
| Fecha: | 2013-11-01 |
| Publicador: | TELKOMNIKA: Indonesian journal of electrical engineering |
| Fuente: |
 |
| Tipo: |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
| Tema: | Dynamic Positioning Systems (DPS); T-S Model; Fuzzy C-Means (FCM) Clustering; Least Squares; Generalized Predictive Control (GPC) |
| Descripción: | Dynamic Positioning Systems (DPS) is a technique of automatically maintaining the position of vessels within the specified limits by controlling thrusters. This paper introduces a fuzzy predictive control to position vessels. Firstly, the mathematical model of vessel is created and simplified. Then, we use feed-forward compensation to decouple the system. The T-S model is identified by Fuzzy C-Means clustering algorithm and Least Squares method. After that, we use Generalized Predictive Control (GPC) to control the ships in three degrees of freedom (DOF)-surge, sway and yaw. The simulation results show that the fuzzy predictive control can orient the vessels effectively. |
| Idioma: | Inglés |