Neural Network Based Decoupling Control of Lifting of 7500T Floating Crane Vessel

摘要

According to characteristics of nonlinear and strong coupling between rolling and luffing of 7500 Ton crane arm withvessel stability in lifting process, we built a mathematical model of movement stance of crane vessel lifting process and brought forwarda neural network decoupling control strategy. The control method was applied to solve the coupling problem between rolling and luffingfor the crane lifting of the, vessel. The executive motors of crane vessel work stably under the control. The space position of heavy loadcan be controlled stably in lifting process because of good control stability of motor. Theliontrol is also well effect for vessel stability.The control, aim is used for safety and reliability of crane vessel operation. Simulation results indicate that there is good stability ofdynamic decoupling between rolling and luffing of crane vessel.