Motion estimation using optical flow sensors and rate gyros

作者: Xiaoming Liu , Zhongyuan Chen , Wanchun Chen , Xiaolan Xing

DOI: 10.1109/ICMA.2016.7558821

关键词:

摘要: Optical flow sensors (OFSs), with characteristics of small size, light weight, low cost, little power consumption, fast response and no radiation, are suitable for miniature aerial vehicles (MAVs) to detect the environment around them. According our recent works, besides velocity flight height above ground, many other states can also be obtained using optical rate gyros, including attack angle, sideslip MAV's Euler angles so on. In this paper, a placement scheme OFSs on MAV is proposed. After establishing measurement equations, an Unscented Kalman Filter (UKF) applied estimate MAV. Simulation results show that estimated accurately quickly. The initial error between true values estimations will distinguished in about 4 seconds. Using as feedbacks, autopilot control effectively. Optimal discussed.

参考文章(19)
Javaan S. Chahl, Mandyam V. Srinivasan, Geoffrey L. Barrows, Biomimetic Visual Sensing and Flight Control Seventeenth International Unmanned Air Vehicle Systems Conference. pp. 1- 15 ,(2002)
E.A. Wan, R. Van Der Merwe, The unscented Kalman filter for nonlinear estimation Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373). pp. 0- 0 ,(2000) , 10.1109/ASSPCC.2000.882463
S. Griffiths, J. Saunders, A. Curtis, B. Barber, T. McLain, R. Beard, Maximizing miniature aerial vehicles IEEE Robotics & Automation Magazine. ,vol. 13, pp. 34- 43 ,(2006) , 10.1109/MRA.2006.1678137
D. Blake Barber, Stephen R. Griffiths, Timothy W. McLain, Randal W. Beard, Autonomous Landing of Miniature Aerial Vehicles Journal of Aerospace Computing Information and Communication. ,vol. 4, pp. 770- 784 ,(2007) , 10.2514/1.26502
Xiao Ming Liu, Wan Chun Chen, Xing Liang Yin, Xiao Lan Xing, Optical Flow Sensor Designed for Altitude-Holding Flight Advanced Materials Research. pp. 598- 604 ,(2011) , 10.4028/WWW.SCIENTIFIC.NET/AMR.383-390.598
Mandyam V. Srinivasan, Michael Poteser, Karl Kral, Motion detection in insect orientation and navigation. Vision Research. ,vol. 39, pp. 2749- 2766 ,(1999) , 10.1016/S0042-6989(99)00002-4
F. Ruffier, S. Viollet, S. Amic, N. Franceschini, Bio-inspired optical flow circuits for the visual guidance of micro air vehicles international symposium on circuits and systems. ,vol. 3, pp. 846- 849 ,(2003) , 10.1109/ISCAS.2003.1205152
Franck Ruffier, Nicolas Franceschini, Optic flow regulation: the key to aircraft automatic guidance Robotics and Autonomous Systems. ,vol. 50, pp. 177- 194 ,(2005) , 10.1016/J.ROBOT.2004.09.016
S.J. Julier, J.K. Uhlmann, Unscented filtering and nonlinear estimation Proceedings of the IEEE. ,vol. 92, pp. 401- 422 ,(2004) , 10.1109/JPROC.2003.823141
B. Bhanu, S. Das, B. Roberts, D. Duncan, A system for obstacle detection during rotorcraft low altitude flight IEEE Transactions on Aerospace and Electronic Systems. ,vol. 32, pp. 875- 897 ,(1996) , 10.1109/7.532250