Identification of the hydrodynamic model of a marine vehicle

海洋车辆水动力模型辨识

• 批准号: 36405-2006
• 负责人: Haddara, Mahmoud
• 金额: $ 1.73万
• 依托单位: Memorial University of Newfoundland
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2007
• 资助国家: 加拿大
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=365078
• 关键词: Identification; hydrodynamic; model; marine; vehicle

The main objective of this research proposal is to develop a methodology for the identification of the instantaneous hydrodynamic forces acting on a ship or an underwater water vehicle sailing at sea. The main hurdle to overcome is our inability to measure the input, so a relationship between output and input cannot be established. Instead, we have to take recourse to techniques which depend only on response measurements to identify the hydrodynamic model which govern the motion of the ship or the underwater vehicle. The approach which will be followed in this work is to use techniques, like the random decrement technique, to obtain the free response of the vehicle from its random response. neural networks can then be used to identify the hydrodynamic model in real time. Thus, the model can be updated as the navigation conditions change. Such a technique will provide better manoeuvring characteristics, more positioning precision, and safer working conditions.

这项研究提案的主要目标是开发一种方法，用于确定作用在海上航行的船舶或水下水上航行器的瞬时水动力。需要克服的主要障碍是我们无法衡量投入，因此无法建立产出和投入之间的关系。取而代之的是，我们必须采取仅依靠响应测量的技术来识别控制船舶或水下航行器运动的水动力模型。在这项工作中将遵循的方法是使用技术，如随机减量技术，以获得车辆的随机响应的自由响应。然后，可以使用神经网络来实时识别流体动力学模型。因此，模型可以随着导航条件的变化而更新。这种技术将提供更好的操纵特性、更高的定位精度和更安全的工作条件。