摘要
Aiming at the thrust allocation problem of dynamic positioning (DP) ship, first the multi-objective function for energy consumption, thruster wear and thrust error was constructed.Then, by analysing the constraints such as thrust prohibited area, dead zone, saturation, thrust change rate and azimuth change rate, the constraint inequalities were given.Finally, the verification of proposed multi-objective allocation optimization problem was simulated by using non-dominated sorting genetic algorithm-Ⅱ(NSGA-Ⅱ).Simulation results show that the NSGA-Ⅱfor thrust distribution can effectively reduce the energy consumption of the propeller and has certain feasibility in engineering applications.
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