1. Adaptive control of large transport ship based on grasshopper optimization algorithm
- Author
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Rongzhen YU, Jianping YUAN, and Junyi LI
- Subjects
large transport ship ,grasshopper optimization algorithm (goa) ,sliding mode control ,linear quadratic regulator (lqr) ,tracking control ,Naval architecture. Shipbuilding. Marine engineering ,VM1-989 - Abstract
ObjectivesThe maritime navigation environment is random, complex and changeable, and intelligent autonomous navigation is an important trend in the development of large ocean-going transport ships, for which a new adaptive control method is proposed. MethodsFirst, the linear quadratic regulator (LQR) control method is integrated with the first-order dynamic integral sliding mode control method based on the grasshopper optimization algorithm (GOA). A nonlinear passive estimator with real-time monitoring of wave disturbance forces is then combined to separate the high and low-frequency motion signals of the ship. Finally, the simulation results of the proposed method are compared with those of the LQR control method and first-order dynamic integral sliding mode control method. ResultsThe results show that the new control method has better transient and steady-state tracking performance, and is able to overcome the effects of random waves under different sea conditions with strong robustness. ConclusionsThe new control method has such abilities as self-adjustment in complex environments, fast control response, high precision and less redundant steering, enabling it to greatly improve the navigation efficiency, safety and stability of large transport ships.
- Published
- 2023
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