RBF based ADRC control method is used to locate the low-frequency model of the ship with strong non-linear characteristics. When the system is disturbed, ADRC can automatically compensate for the disturbance, which has strong anti-interference ability. However, it is difficult to adjust so many parameters in ADRC and the suppression of interference intensity of ADRC is limited. Using RBF Neural Network Identifier to set the parameters of ADRC can reduce the number of adjustable parameters. What's more, the simulation results demonstrate that RBF-ADRC can increase the range of interference suppression and improve the control accuracy of ship dynamic positioning system.
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