TY - GEN
T1 - A MEMS-based inertial navigation system for mobile miniature robots
AU - Ming, Zhong
AU - Bo, Huang
PY - 2012
Y1 - 2012
N2 - A real-time inertial navigation system (INS) for mobile miniature robots was proposed, which mainly consists of hardware platform and software system. Based on the principles of embedded system, and by use of MEMS-based inertial measurement units (IMU) and micro control units (MCU) including ARM and CPLD, a compact, low-power-consumption, low-cost, and universal real-time hardware platform was constructed for the navigation system. Besides, a μC/OS-II real-time operating system was transplanted for software developing, where all the algorithms of digital signal processing, data interpolation, navigation calculating were realized. Furthermore, a fuzzy system was designed for sensor data fusion so as to achieve accurate navigation. Finally, the MEMS-based INS was fully tested via experiments on a mobile miniature robot. Experiments results show that average error of the heading angle estimation is about 0.56%, average error of Attitude angle estimation is 2.57%, and the maximum error of plane position is about 10%, which indicates that this INS satisfies requirements of mobile miniature robots.
AB - A real-time inertial navigation system (INS) for mobile miniature robots was proposed, which mainly consists of hardware platform and software system. Based on the principles of embedded system, and by use of MEMS-based inertial measurement units (IMU) and micro control units (MCU) including ARM and CPLD, a compact, low-power-consumption, low-cost, and universal real-time hardware platform was constructed for the navigation system. Besides, a μC/OS-II real-time operating system was transplanted for software developing, where all the algorithms of digital signal processing, data interpolation, navigation calculating were realized. Furthermore, a fuzzy system was designed for sensor data fusion so as to achieve accurate navigation. Finally, the MEMS-based INS was fully tested via experiments on a mobile miniature robot. Experiments results show that average error of the heading angle estimation is about 0.56%, average error of Attitude angle estimation is 2.57%, and the maximum error of plane position is about 10%, which indicates that this INS satisfies requirements of mobile miniature robots.
KW - Embedded system
KW - Inertial navigation system
KW - Micro-electromechanical system
KW - Mobile miniature robot
UR - https://www.scopus.com/pages/publications/83755188086
U2 - 10.4028/www.scientific.net/AMR.383-390.7189
DO - 10.4028/www.scientific.net/AMR.383-390.7189
M3 - 会议稿件
AN - SCOPUS:83755188086
SN - 9783037852958
T3 - Advanced Materials Research
SP - 7189
EP - 7197
BT - Manufacturing Science and Technology
T2 - 2011 International Conference on Manufacturing Science and Technology, ICMST 2011
Y2 - 16 September 2011 through 18 September 2011
ER -