利用卡尔曼滤波对传感器数据进行融合,实现管道内导航

Everson Siqueira, R. Z. Azzolin, S. Botelho, V. Oliveira
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引用次数: 6

摘要

管道被用来输送石油、天然气、化学品和水等产品。这意味着管道出现问题意味着资金浪费和环境破坏。为了避免这些问题,定期进行检查。这项技术的改进使得使用机器人和移动平台检查管道成为可能。本文的工作重点是实现管道内机器人或平台的姿态获取策略。该方法包括使用一种技术来融合来自低成本IMU和编码器的信息。利用Matlab软件实现了仿真。
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Sensors data fusion to navigate inside pipe using Kalman Filter
Pipelines have been used to convey products such as oil, gas, chemicals and water. It means that problems with pipelines would indicate money waste and environment damages. To avoid those problems, inspections are realised periodically. The technology improvement has made possible employing robots and mobile platforms to inspect pipes. The focus of this work is to implement a strategy to acquire the pose of robot or platform inside pipe. The method consists in the use of a technique to fuse information from a low cost IMU and encoder. Simulations are realised using Matlab software.
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