The design of frequency-load controller greatly affects the performance of a ship power station. A common strategy to control frequency and load of the ship power station is to use speed regulator with a PI controller, these schemes require proper and continuous tuning, frequency and load of the diesel-generator are separately controlled, but frequency regulation and load distribution among parallel synchronous generators are interacted. A new parallel PID control technique based on auto-tuning neurons used as a modified hyperbolic tangent function is proposed in this paper, which specialized for frequency-load regulation of the ship power station. Simulation and experimental results show that proposed scheme can achieve an appropriate frequency-load control among parallel synchronous generators, and ensure their stable and economical performances.

In the ship navigation safety chain, the seaman's factor is very important for a ship's maneuvering safety. A structure of seaman-ship integrated model (SSIM) was established, and related data being used was proposed. The important function of the method was briefly discussed. The application of SSIM to the predication of a ship's maneuvering was conducted to obtain an excellent ships maneuvering quality, and the seaman-ship optimal control model was found by simulation study. The simulation results show that the obtained optimal seaman-ship control characteristic can fully take the advantages of ships maneuvering technical performance. The proposed SSIM plays an extremely vital role in ship navigation security.