Sliding Mode Controller for Stereo Vision Based Autonomous Flight of Quad-Rotor M
Dwi Pebrianti*, WeiWang**, Daisuke Iwakura*, Yuze Song*,
and Kenzo Nonami***
*Department of Artificial System Science, Graduate School of Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan
**College of Information and Control Engineering, Nanjing University of Information Science And Technology, 219 Ning Liu Road, Nanjing, Jiangsu 210044, China
***Department of Mechanical Engineering, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba 263-8522, Japan
We have investigated the possibility of a Sliding Mode Controller (SMC) for autonomous hovering and waypoint of a quad-rotor Micro Aerial Vehicle (MAV) based on an on ground stereo vision system. The object tracking used here is running average background subtraction. Among the background subtraction algorithms for object tracking, running average is known to have the fastest processing speed and the lowest memory requirement. Stereo vision system is known to have a good performance in measuring the distance from camera to object without any information regarding the object geometry in advance. SMC is known to have advantage of insensitivity to the model errors, parametric uncertainties and other disturbances. The experiment on autonomous hovering and way-point by using running average method for object tracking and SMC for the flight control shows a reliable result.
and Kenzo Nonami, “Sliding Mode Controller for Stereo Vision Based Autonomous Flight of Quad-Rotor M,” J. Robot. Mechatron., Vol.23, No.1, pp. 137-148, 2011.
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