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首页> 外文期刊>Optimal Control Applications and Methods >Multi-verse optimizer based PI-type active disturbance rejection generalized predictive control parameter tuning for ship motion
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Multi-verse optimizer based PI-type active disturbance rejection generalized predictive control parameter tuning for ship motion

机译：Multi-verse optimizer based PI-type active disturbance rejection generalized predictive control parameter tuning for ship motion

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摘要

The motion control of ships is the crucial of the transportation industry. The ship is an under-actuated system with large inertia and nonlinearity, it also will be influenced by various interference during the voyaging. This work proposed a multi-verse optimizer (MVO) tuned PI-type active disturbance rejection generalized predictive control (PI-ADRGPC) method. The PI-ADRGPC is used to control the ship motion, and the MVO is employed to tune the parameters of PI-ADRGPC. To verify the performance of the proposed method, a set of simulations with different interference are tested. The results indicate that compared with particle swarm optimization, dragonfly algorithm and moth-flame optimization, the MVO tuned PI-ADRGPC has better performance under different interference in the ship motion control. The Monte Carlo test also indicates that the robustness of the system is strong.

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