@inproceedings{a8205abf0fbe4019873573746a27ffd5,
title = "Autonomous control and target tracking algorithm design for a quadrotor",
abstract = "In this paper, the task of Mission 7 of International Aerial Robotics Competition (IARC) is investigated. The quadrotor is required to autonomously navigate in a GPS-denied environment, and accomplish physical interaction with ground moving targets. In order to estimate the position of the quadrotor, a multi-sensor-compensation based method is designed and individual measurement errors are compensated. Also an extended Kalman filer (EKF) is utilized for attitude estimation. To accomplish the target tracking task, a path planning algorithm is designed under the constraints of quadrotor dynamics, and consecutive waypoint setpoints are generated. Then lower-level cascaded PID controllers are adopted to track the command waypoint. Finally, simulation and experimental results show the effectiveness and feasibility of the proposed methods.",
keywords = "Quadrotor control, state estimation, target tracking",
author = "Yibei Li and Yu Yao and Fenghua He and Xiaoming Hu",
note = "Publisher Copyright: {\textcopyright} 2017 Technical Committee on Control Theory, CAA.; 36th Chinese Control Conference, CCC 2017 ; Conference date: 26-07-2017 Through 28-07-2017",
year = "2017",
month = sep,
day = "7",
doi = "10.23919/ChiCC.2017.8028422",
language = "英语",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "6749--6754",
editor = "Tao Liu and Qianchuan Zhao",
booktitle = "Proceedings of the 36th Chinese Control Conference, CCC 2017",
address = "美国",
}