进化粒子群优化算法在船舶纵向运动参数辨识算法设计中的应用

Application of evolutionary particle swarm optimization algorithm in design of ship longitudinal motion parameter identification algorithm

我国航运事业飞速发展,各种类型和用途的船舶被制造出来,以满足经济发展的需要。而在复杂的海洋环境航行时,由于天气环境可能会非常恶劣,船舶的航行安全受到了严重的威胁。而基于进化粒子群优化算法的控制系统,能够有效对运动参数进行优化,从而避免发生意外,船舶纵向运动的控制是本文的研究重点。由于船舶的纵向控制需要多个系统联合同时进行,需要对众多的相关参数进行时序上的优化,从而找到最优的一组运动模态,以提高航行的安全性。

With the rapid development of China's shipping industry, ships of various types and uses are manufactured to meet the needs of economic development. In the complex marine environment, due to the weather environment may be very bad, the ship's navigation safety has been a serious threat. The control system based on evolutionary particle swarm optimization(PSO) can effectively optimize the motion parameters, so as to avoid accidents. The control of ship longitudinal motion is the focus of this paper. Because the ship's longitudinal control requires multiple systems to be carried out simultaneously, it is necessary to optimize the timing of many of the relevant parameters to find the optimal set of motion modes to improve the safety of navigation.