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The Localization of a Mobile Robot Using a Pseudolite Ultrasonic System and a Dead Reckoning Integrated System

机译:使用伪超声系统和航位推算集成系统对移动机器人进行定位

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摘要

In this paper, an integration system is proposed to improve the positioning performance of a mobile robot by fusing a Pseudolite Ultrasonic System (PUS), an absolute position measurement system using direct ultrasonic waves, with a Dead Reckoning (DR) odometer. As an integration algorithm of the absolute position measurement system and DR, two methods are proposed. In the loosely coupled method, the PUS and the DR calculate the position independently and a Kalman filter estimates the position using position information from the PUS and the DR. In the tightly coupled method, the PUS provides the distance between the ultrasonic transmitters and receivers without calculating the position directly and the DR provides the translational and rotational displacement of the mobile robot. The Kalman filter then estimates the position using information from the PUS and the DR. In addition, to improve the positioning performance in case the line-of-sight (LOS) between the ultrasonic transmitter and receiver is blocked due to obstacles, a positioning failure detection algorithm and reckoning methods are proposed. The positioning performances of the proposed PUS/DR integrated systems and the validity of the positioning failure detection algorithm are verified and evaluated by experiments.
机译:在本文中,提出了一种集成系统,通过融合伪卫星超声系统(PUS),使用直接超声波的绝对位置测量系统以及航位推算(DR)里程表来提高移动机器人的定位性能。作为绝对位置测量系统与DR的集成算法,提出了两种方法。在松耦合方法中,PUS和DR独立计算位置,而卡尔曼滤波器使用来自PUS和DR的位置信息估算位置。在紧密耦合方法中,PUS提供了超声波发射器和接收器之间的距离,而无需直接计算位置,而DR提供了移动机器人的平移和旋转位移。然后,卡尔曼滤波器使用来自PUS和DR的信息来估计位置。另外,为了提高在超声波发射器和接收器之间的视线由于障碍而被阻挡的情况下的定位性能,提出了定位故障检测算法和推算方法。通过实验验证了所提出的PUS / DR集成系统的定位性能和定位故障检测算法的有效性。

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