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The Quadrotor Dynamic Modeling and Indoor Target Tracking Control Method
Author(s) -
Dewei Zhang,
Hui Qi,
Xiande Wu,
Yaen Xie,
Jiangtao Xu
Publication year - 2014
Publication title -
mathematical problems in engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.262
H-Index - 62
eISSN - 1026-7077
pISSN - 1024-123X
DOI - 10.1155/2014/637034
Subject(s) - control theory (sociology) , backstepping , dynamic positioning , nonlinear system , inertial measurement unit , computer science , control engineering , inertia , position (finance) , attitude control , engineering , control (management) , adaptive control , artificial intelligence , finance , quantum mechanics , marine engineering , economics , physics , classical mechanics
A reliable nonlinear dynamic model of the quadrotor is presented. The nonlinear dynamic model includes actuator dynamic and aerodynamic effect. Since the rotors run near a constant hovering speed, the dynamic model is simplified at hovering operating point. Based on the simplified nonlinear dynamic model, the PID controllers with feedback linearization and feedforward control are proposed using the backstepping method. These controllers are used to control both the attitude and position of the quadrotor. A fully custom quadrotor is developed to verify the correctness of the dynamic model and control algorithms. The attitude of the quadrotor is measured by inertia measurement unit (IMU). The position of the quadrotor in a GPS-denied environment, especially indoor environment, is estimated from the downward camera and ultrasonic sensor measurements. The validity and effectiveness of the proposed dynamic model and control algorithms are demonstrated by experimental results. It is shown that the vehicle achieves robust vision-based hovering and moving target tracking control

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