Co-simulation of neural networks PID control for ship steering hydraulic system

Abstract

For optimization of the dynamic performance of ship steering hydraulic system, a back propagation (BP) neural networks PID control algorithm was studied based on the characteristics of nonlinearity and time variation of the system. Then the control system model in MATLAB/Simulink was designed according to the algorithm, and a co-simulation between the… (More)

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