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Development of Autonomous Underwater Vehicle for Investigation of Marine Environment

Development of Autonomous Underwater Vehicle for Investigation of Marine Environment
海洋环境调查自主水下航行器的开发
批准号:
12555281
负责人:
NAKAMURA Masahiko
金额:
$8.51万
依托单位:
依托单位国家:
日本
项目类别:
Grant-in-Aid for Scientific Research (B)
财政年份:
2000
资助国家:
日本
项目状态:
已结题
起止时间:
2000 至 2002

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中文摘要
翻译
一种既能作为巡航型又能作为精确自动位置控制型的水下航行器将是最有利于海洋测量的。但由于水下航行器和水下航行器所要求的水动力特性和控制方法存在很大差异,使得水下航行器很难同时具备这两种功能。为此研究开发了一辆四分之一大小的模型车“潜水甲虫”。主要维度是;长1.2m,宽0.7m,高0.24m,空重40kg。飞行器有6个推进器和2个水平尾翼来控制运动。该车辆仅用于海洋工程油箱(L:65m, B:5m, D:7m)研究运动控制。如果车辆和个人电脑之间可以实时通信,我们可以将实验室的个人电脑设置在坦克的拖车上。该系统可以减少车辆的体积、重量和电池电量。此外,在这个系统中,改变PC系统是非常容易的(PC每天都在进化)。“潜水甲虫”使用模型飞机的数字比例无线电控制系统与PC进行通信。在海洋工程水池中进行了水动力系数测量实验,建立了运动方程。该方程用于控制器的设计和运动仿真。研究了基于模型的控制器、增益调度控制器和神经网络控制器对车辆运动的控制。
英文摘要
An AUV which could be operated both as a cruising type and an exact automatic position control type vehicle would be most advantageous for ocean measurement. But it is difficult for an AUV to have both these functions, because the hydrodynamic characteristics and control method required for the two types of vehicle differ greatly. A quarter size model vehicle named "Diving Beetle" was developed for this study. The principal dimensions are; length:1.2m, width:0.7m, height :0.24m, weight in air:40kg. The vehicle has 6 thrusters and 2 horizontal tail wings to control the motion. The vehicle is used only in the ocean engineering tank (L:65m, B:5m, D:7m) to study motion control. If communication between the vehicle and a personal computer were possible in real time, we could set the PC in the laboratory on the towing carriage of the tank. This system could reduce the volume, weight and battery power of the vehicle. Moreover, in this system, it would be very easy to change the PC system (PCs are evolving daily.). "Diving Beetle" communicates with the PC using a digital proportional radio control system of a model aircraft.The experiments to measure the hydrodynamic coefficients of the vehicle were carried out in the ocean engineering tank, and the equation of motion was constructed. This equation was used for the design of the controller and motion simulation.The model based controller, gain scheduled controller and neural Network controller were studied to control the motion of the vehicle.
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