利用微机电测量系统稳定平台的空间位置

Igor Dawlyud
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引用次数: 0

摘要

随着海上货运的增长,以及海上货物业务的增长,特别是在恶劣气候条件下的货物转移,需要自动化系统。这种系统可以补偿船舶滚动带来的干扰影响,并允许在公海上安全转运货物。其中一个这样的系统是位于接收船上的自动货物接收平台。为了评估其结构的可行性和工作效率,利用微机械测量系统建立了自动稳定平台的物理模型,以保证其在水平面上的稳定。在建立模型的过程中,绘制了其功能图和运动学图。处理从微机电传感器接收的“原始”数据的问题:陀螺仪和加速度计已经解决。在程序代码中使用PID控制器构建控制算法,以及用于组合加速度计和陀螺仪读数的互补滤波器。模型的工作是使平台保持在水平面上;不考虑基座(安装它的容器)的移动。所建立的模型具有效率高、响应速度快、定位精度高等特点。在模拟稳定系统的基础上开发的稳定系统能够在困难的条件下工作,确保在公海上装载时的安全。在建立自动稳定平台模型的基础上,对自适应输出控制算法进行了测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Use of microelectromechanical measuring systems to stabilize the spatial position of the platform
With the growth of sea freight, as well as cargo operations at sea, in particular the transfer of cargo in difficult climatic conditions, there is a need for automated systems. Such systems can compensate for the disturbing effects of the rolling of ships and allow the safe transfer of cargo on the high seas. One such system is an automated cargo receiving platform located on the receiving vessel. To assess the feasibility of its construction and efficiency of work, a physical model of an automatic stabilized platform has been developed using micromechanical measuring systems that ensure its stabilization in the horizontal plane. In the course of building the model, its functional and kinematic diagram was developed. The problem of processing the received «raw» data from microelectromechanical sensors: a gyroscope and an accelerometer has been solved. Control algorithms are constructed using a PID controller in the program code, as well as a complementary filter for combining accelerometer and gyroscope readings. The work of the model is to keep the platform in a horizontal plane; regardless of the movement of the base (the vessel on which it is installed). The created model showed high efficiency, fast response, positioning accuracy. The stabilization system developed on the basis of the simulated one is capable of working in difficult conditions, ensuring safety when loading on the open sea. Based on the developed model of the automatic stabilized platform, the adaptive output control algorithms were tested.
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