A Review of Control Algorithms for Quadrotor
The unmanned aerial vehicle (UAV) is subject to various disturbances during the flight, such as the noise and drift of the sensor, strong wind and turbulence, and model variation caused by the excessive inclination. These would seriously affect the flight quality of the aircraft, so UAV control tech...
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Published in | 2018 IEEE International Conference on Information and Automation (ICIA) pp. 951 - 956 |
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Main Authors | , , , |
Format | Conference Proceeding |
Language | English |
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IEEE
01.08.2018
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Abstract | The unmanned aerial vehicle (UAV) is subject to various disturbances during the flight, such as the noise and drift of the sensor, strong wind and turbulence, and model variation caused by the excessive inclination. These would seriously affect the flight quality of the aircraft, so UAV control technology is particularly important. The quadrotor UAV is an important platform for control technology research, which has become the ideal choice for the synthesis and analysis of the control algorithm due to its nonlinearity and under-actuated properity. This paper briefly reviews the dynamic modeling of the quad-rotor, and compares the linear control algorithm, nonlinear control algorithm and intelligent control algorithm. Then the challenges and development trends of the quadrotor UAV control algorithm are summarized. |
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AbstractList | The unmanned aerial vehicle (UAV) is subject to various disturbances during the flight, such as the noise and drift of the sensor, strong wind and turbulence, and model variation caused by the excessive inclination. These would seriously affect the flight quality of the aircraft, so UAV control technology is particularly important. The quadrotor UAV is an important platform for control technology research, which has become the ideal choice for the synthesis and analysis of the control algorithm due to its nonlinearity and under-actuated properity. This paper briefly reviews the dynamic modeling of the quad-rotor, and compares the linear control algorithm, nonlinear control algorithm and intelligent control algorithm. Then the challenges and development trends of the quadrotor UAV control algorithm are summarized. |
Author | Hu, Chaofang Deveerasetty, Kranthi Kumar Zhou, Yimin Han, Bo |
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Snippet | The unmanned aerial vehicle (UAV) is subject to various disturbances during the flight, such as the noise and drift of the sensor, strong wind and turbulence,... |
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SubjectTerms | Aircraft Attitude control Control systems Heuristic algorithms Intelligent controller Linear controller Mathematical model Nonlinear controller Quadrotor Uncertainty Unmanned aerial vehicles |
Title | A Review of Control Algorithms for Quadrotor |
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