MA Bin-liang1, HUANG Yu-mei1, SHI En-xiu1, et al. Study on lateral position of mobile robot based on information fusion[J]. 2008, 27(11): 24-27. DOI: 10.13873/j.1000-97872008.11.017.
基于信息融合的移动机器人侧向定位的研究
摘要
超声波传感器的入射角对输出有很大的影响
通过实验分析了入射角对输出的影响。采用引入误差补偿因子的方法
标定了传感器的测量模型
使得测量精度大大提高。在此基础上
基于多源信息融合设计了3种移动机器人侧向定位模型。经实验比较证实
引入误差补偿因子的融合模型定位精度高
可以使得距离误差控制在±2.4mm
姿态角误差控制在±0.32°以内。最后
将该融合模型应用于移动机器人的实际控制中
距离误差为±3.7mm、姿态角误差为±0.58°
满足移动机器人定位精度的要求。
Abstract
The incident angle of ultrasonic sensor has serious effect on its output.The effect of incident angle on the output is analyzed by experiment.The measurement precision is improved after the measuring model of the sensor is calibrated using error compensation factor
and then three lateral position models are designed based on multi-information fusion.Through the comparison analysis
the fusion model with error compensation factor has higher precision
the distance error is ±2.4mm and attitude angle error is ±0.32°.Finally
the model is applied to actual control of mobile robot
the distance error is ±3.7mm and attitude angle error is ±0.58°
Navigating an outdoor robot along continuous landmarks with ultrasonic sensing [J] . Danny Ratner,Phillip McKerrow. Robotics and Autonomous Systems . 2003 (2)
Topological navigation and qualitative localization for indoor environment using multi-sensory perception [J] . P. Ranganathan,J.B. Hayet,M. Devy,S. Hutchinson,F. Lerasle. Robotics and Autonomous Systems . 2002 (2)
Sensor fusion by pseudo information measure: A mobile robot application [J] . Mohammad Reza Asharif,Behzad Moshiri,Reza HoseinNezhad. ISA Transactions . 2002 (3)