Title :
Research of micro integrated navigation system based on MIMU
Author :
Jinxian, Yang ; Ying, Zhang
Author_Institution :
Sch. of Electr. & Autom., Henan Polytech. Univ., Jiaozuo, China
Abstract :
According to the characteristics of applicable environment and MIMU itself, a new Kalman filter was designed. The shallow integrated mode was adopted for improving fault-tolerant and reliability, and considering the low-precision MIMU, mathematics model of integrated navigation system was reasonably simplified. An adoptive Kalman filter was designed through judging average value and variance of the residual, and the weights of the filter were adoptively adjusted along with external environment. Thus it can avoid divergence and enhance system robustness. The simulation test show attitude angle error, velocity error and position error were well estimated; and then vehicle test illustrated the design was feasible.
Keywords :
Global Positioning System; Kalman filters; attitude control; fault tolerance; inertial navigation; position control; robust control; space vehicles; velocity control; GPS; Kalman filter; MIMU; attitude angle error; fault tolerance; mathematics model; micro integrated navigation system; position error; reliability; system robustness; vehicle test; velocity error; Algorithm design and analysis; Computer errors; Design automation; Global Positioning System; Hardware; Mathematical model; Navigation; Software performance; Testing; Vehicles; MIMU/GPS; improved Kalman filter; simulation test; vehicle test;
Conference_Titel :
Industrial Mechatronics and Automation, 2009. ICIMA 2009. International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-3817-4
DOI :
10.1109/ICIMA.2009.5156581