神经网络在船舶动力定位模拟器控制系统中的应用

Application of neural network in the control system of ship dynamic positioning simulator

随着近海资源日渐枯竭,远洋自然资源的开发和利用技术成为了研究热点。远洋水域深度较大,船舶在采用传统的锚泊式定位时会发生走锚等问题,因此,必须采用动力定位技术。船舶动力定位系统由位置测量、控制器和推进器3部分组成,可以实现精准可靠的海上定位,对船舶和海上作业平台有重要意义。动力定位模拟器是船员进行动力系统操作培训的重要设备,本文结合神经网络算法和相应的数学模型,设计和开发了船舶动力定位模拟器的控制系统。

With the depletion of offshore resources, the development and utilization of ocean natural resources has become a hot spot of research. The depth of the ocean is very large, so the anchor location and the departure position must be taken place in the traditional anchor location. Therefore, the dynamic positioning technology must be adopted. The ship dynamic positioning system consists of three parts: position measurement, controller and thruster. It can achieve precise and reliable offshore positioning, and has great significance for ship and offshore operation platform. The dynamic positioning simulator is an important equipment for the crew to train and train the power system. Combined with the neural network algorithm and the corresponding mathematical model, the control system of the ship dynamic positioning simulator is designed and developed.