Coupling Analysis And Decoupling Controller Design For Integrated Stabilization System

Integrated stabilization control strategy is used by using fin-tank stabilization system in order to get better anti-rolling result.The integrated anti-rolling device can have the advantages of fin and anti-rolling and overcome then disadvantages of them,so the anti-rolling effect will be better than just one stabilizing unit.But,when the ship is equipped with fin and anti-rolling tank at the same time,they will influence each other,and have mutual coupling influence.And,there will be some coupling factor,including mass matrix and stiffness matrix.So,coupling analysis is urgently needed to the system.Then,we can show the coupling degree of the integrated stabilization system and design the corresponding decoupling controller.This all have important significance for research the coupling relations in the integrated stabilization system.Reading integrated anti-rolling system references,and analyzing the system model of ship equipped fin and passive anti-rolling tank.Then,definition the relevant coupling degree,and establish gain matrix model.This can show the variables dynamic.An improved particle swarm algorithms is proposed,which is based on the characteristics of particle swarm optimization(PSO)algorithm searching the parameter space efficiently,and the selfregulation and adaptability of PID artificial neuron networks.The improved particle swarm algorithms can solve the problem of disadvantages in PSO.Apply it to the decoupling controller design of integrated stabilization system PID neural network.This improved PSO has certain advantages,and reduce coupling influence effectively.The main contents of the paper:Firstly,analyzing the basic characteristics of ship-fin and ship-tank device and established the integrated stabilization system mathematical model.The vibration characteristics and the coupling characteristics of the integrated stabilization system is analyzed by using the theory of vibration.Secondly,transform the integrated stabilization system mathematical model into MIMO system model by using RGA theory.For the coupling problem between anti-rolling devices,RGA model is used to show the coupling degree of the integrated stabilization system.The simulation result verified that this method can show the degree of association of the main coupling variables in integrated stabilization system.This has important implications for analysis the coupling system.Meanwhile,it also can provide the theoretical basis for configuration parameters and for improving the efficiency of anti-rolling.In the end,an improved particle swarm algorithms is proposed,which is based on the characteristics of particle swarm optimization(PSO)algorithm searching the parameter space efficiently,and the self-regulation and adaptability of PID artificial neuron networks.The improved particle swarm algorithms can solve the problem of disadvantages in PSO.Apply it to the decoupling controller design of integrated stabilization system PID neural network.Simulation results show that the improved PSO has certain advantages,and has good control effect.