Details

Autor(en) / Beteiligte

• Van Trieu, Pham
• Luu, Do Duc
• Cuong, Hoang Manh
• Tuan, Le Anh

Titel

Neural network integrated sliding mode control of floating container cranes

Ist Teil von

• 2017 11th Asian Control Conference (ASCC), 2017, p.847-852

Ort / Verlag

IEEE

Erscheinungsjahr

2017

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• We constitute an adaptive robust controller for floating container cranes based on the second-order sliding mode control (SOSMC) integrating neural network. SOMSC is utilized for constructing the frame of a controller while a radial basis function network (RBFN) is integrated to estimate the system modeling. The disturbances composed of viscoelasticity of sea water, elasticity of suspended wire rope, and sea-excited motions of ship are fully considered. The control system tends to two important behaviors: (i) robustness with parameter uncertainties and disturbances; (ii) adaption with both unknown system parameters and no information of system modeling. The simulation results reveal that the proposed control system work well and stabilize all the system responses.