Open AccessSimulation comparisons by three strategies of control on Ships’ fin stabilizer control system
Author(s) -
Song Yang,
Zhenwang Lv,
Yuqiang Zhang,
Zixin Wang
Publication year - 2019
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/569/4/042021
Subject(s) - stabilizer (aeronautics) , control (management) , fin , pid controller , control theory (sociology) , computer science , ship motions , motion (physics) , motion control , optimal control , control system , control engineering , engineering , marine engineering , artificial intelligence , mathematics , mathematical optimization , hull , robot , mechanical engineering , temperature control , electrical engineering
Reducing the ship rolling motion is an important subject of the ship motion control. And the fin stabilizer is one of the most effective ship stabilizers, which plays an important role in improving the ship seaworthiness, giving a longer life for the ship, ensuring the equipments on the ship working better and making the ship members feel comfortable, advance battle effectiveness of the naval ship. Since the ship rolling motion has the characters of the nonlinearity and randomicity. The building of the mathematic model is difficult. Therefore, the method, that the exact mathematic model is not needed priorly, will be suitable for the control system. In the strict sense, the PID and MFLAC are in accord with these characters. Simulations are given for the fin stabilizer’s control system with three different control methods: Proportion Integration Differentiation (PID), Model-Free Learning Adaptive Control (MFLAC) and the improved MFLAC based on Multi-Innovation (MI-MFLAC). The principles of the three methods are introduced and the advantages and disadvantages of the three methods are represented. The satisfied control effects are achieved with the latter two control strategies.