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[目的]智能船舶的航迹跟踪控制问题往往面临着控制环境复杂、控制器稳定性不高以及大量的算法计算等问题。为实现对航迹跟踪的精准控制,提出一种引入深度强化学习技术的航向控制器。[方法]首先,结合视线(LOS)算法制导,以船舶的操纵特性和控制要求为基础,将航迹跟踪问题建模成马尔可夫决策过程,设计其状态空间、动作空间、奖励函数;然后,使用深度确定性策略梯度(DDPG)算法作为控制器的实现,采用离线学习方法对控制器进行训练;最后,将训练完成的控制器与BP-PID控制器进行对比研究,分析控制效果。[结果]仿真结果表明,设计的深度强化学习控制器可以从训练学习过程中快速收敛达到控制要求,训练后的网络与BP-PID控制器相比跟踪迅速,具有偏航误差小、舵角变化频率小等优点。[结论]研究成果可为智能船舶航迹跟踪控制提供参考。 相似文献
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[Objective ] To meet the requirements of remotely controlling ship in curved, narrow and crowded inland waterways, this paper proposes an approach that consists of CNN-based algorithms and knowledge based models under ship-shore cooperation conditions. [Method]On the basis of analyzing the characteristics of ship-shore cooperation, the proposed approach realizes autonomous perception of the environment with visual simulation at the core and navigation decision-making control based on deep reinforcement learning, and finally constructs an artificial intelligence system composed of image deep learning processing, navigation situation cognition, route steady-state control and other functions. Remote control and short-time autonomous navigation of operating ships are realized under inland waterway conditions, and remote control of container ships and ferries is carried out. [Results]The proposed approach is capable of replacing manual work by remote orders or independent decision-making, as well as realizing independent obstacle avoidance, with a consistent deviation of less than 20 meters. [Conclusions]The developed prototype system carries out the remote control operation demonstration of the above ship types in such waterways as the Changhu Canal Shenzhou line and the Yangtze River, proving that a complete set of algorithms with a CNN and reinforcement learning at the core can independently extract key navigation information, construct obstacle avoidance and control awareness, and lay the foundation for inland river intelligent navigation systems. © 2022 Journal of Clinical Hepatology. All rights reserved. 相似文献
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本文介绍了船舶主机上引入一种新颖电子控制喷油系统,大大改善了燃烧效率和耗油量问题,并保证了船舶主机的最佳工作性能。文章重点论述了该系统的特点与功能,结构原理及实验测试数据等。 相似文献
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ABSTRACTTo improve the security and efficiency of terminal operations, a key issue for land area layout at a foreign trade container terminal is to plan and design an inspection area. Since it directly affects terminal traffic, while determining inspection area site selection, we should pay a great attention to operations and management of terminal traffic as well as container inspection. This paper employs a system decomposition technique to develop an integrated simulation framework, which enables us to flexibly obtain the whole picture of terminal traffic conditions and evaluate traffic impacts of inspection area site selection. A real-world terminal with typical patterns of land area layout is chosen to carry out a case study, which shows that traffic flow is unevenly distributed on the terminal road network and that the distribution is influenced by truck streams at the terminal. New findings also include: (1) traffic volume at the terminal apron is rather unbalanced in association with the non-continuous utilization of berths; (2) a proper inspection area should be located near the gate if the terminal conditions permit from the perspective of terminal traffic. This work may provide a decision-making reference for the planning and construction of foreign trade container terminals. 相似文献
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基于动态面控制方法的船舶动力定位控制 总被引:1,自引:1,他引:0
随着经济全球化的发展,人们对海洋资源的开采和利用逐年加深,在开采过程中需要在船舶上进行数据采集,保证船舶的稳定性对研究海洋资源具有深远的意义。本文通过引入动态面控制算法,利用动态面控制技术为动力定位船舶设计控制系统,每一步使用一阶积分滤波器来评估虚拟控制输入的导数,仿真结果显示与传统的backstepping方法相比减低了计算的复杂度,增强了鲁棒性。 相似文献