Improved strong tracking filter algorithm for dynamic positioning vessels

Designing the state observer is to filter the noise of the data in dynamic positioning (DP) system. The state observer can filter out high frequency interference and then estimate the system state information. Here, a kind of state observer of dynamic positioning vessel is designed to estimate vessel states based on improved strong tracking filter algorithm. For comparison, it s filtering effects are compared with those of extended Kalman filter algorithm on the premise of the same simulation environment. It is shown that improved strong tracking filter is proved to have better filtering effects. Besides, it also showed a better tracking performance even with a sudden change in the DP system.