A parameter identification method of ship steering gear model based on BRB-PSO was pro-posed.The BRB-PSO identification model of ship steering gear model parameters was constructed to describe the nonlinear relationship between model input(command rudder angle and actual rudder an-gle signal)and model output(steering gear model parameters).The confidence rule base(BRB)was established,and the estimated value of inertia weight variation was obtained through confidence rule reasoning,and the inertia weight was updated.Based on the inertia weight,the parameters of particle swarm optimization(PSO),such as velocity and position,were adjusted and iterated in turn until the stop requirement was met,so as to realize the identification of steering gear model parameters.By comparing the experimental results with other typical parameter identification methods,the superiority of BRB-PSO identifi-cation method in parameter identification of steering gear model is further illustrated.
维普
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