Multi-rotor control and autonomous mission through simulation
In the field of robotics, particularly in aerial robotics, multi-rotors are experiencing expeditious growth in popularity due to the wide-scaled application of them. Despite it being an underactuated system, there is ultimately an increasing attention being paid towards this mini flying machine. Thu...
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sg-ntu-dr.10356-778982023-07-07T16:18:49Z Multi-rotor control and autonomous mission through simulation Sim, Huan Cong Wang Youyi School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering In the field of robotics, particularly in aerial robotics, multi-rotors are experiencing expeditious growth in popularity due to the wide-scaled application of them. Despite it being an underactuated system, there is ultimately an increasing attention being paid towards this mini flying machine. Thus, multi-rotors are classified as a standard platform in robotics research throughout the world. Multi-rotors are classified under Micro Aerial Vehicles (MAV) and thus the terms are used interchangeably in this paper. Firstly. this paper provides information of the dynamics of a typical multi-rotor and basic flight theory for the multi-rotors. Subsequently, control architecture of a typical flight controllers is explained, which consists of position control, attitude control etc. Furthermore, two control algorithms, model predictive control (MPC) and proportional-integral-derivative (PID) will be studied. Next, simulation details regarding multi-rotor using Robot Operating System (ROS) and Gazebo 3D simulator will be explored. In addition, realistic outdoor environment is constructed under Gazebo simulator. Lastly, creating a ROS node functioning as a waypoint publisher to the multi-rotor and using different controllers to analyse the multi-rotor performance will be studied. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-07T08:29:55Z 2019-06-07T08:29:55Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77898 en Nanyang Technological University 70 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Sim, Huan Cong Multi-rotor control and autonomous mission through simulation |
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In the field of robotics, particularly in aerial robotics, multi-rotors are experiencing expeditious growth in popularity due to the wide-scaled application of them. Despite it being an underactuated system, there is ultimately an increasing attention being paid towards this mini flying machine. Thus, multi-rotors are classified as a standard platform in robotics research throughout the world.
Multi-rotors are classified under Micro Aerial Vehicles (MAV) and thus the terms are used interchangeably in this paper. Firstly. this paper provides information of the dynamics of a typical multi-rotor and basic flight theory for the multi-rotors. Subsequently, control architecture of a typical flight controllers is explained, which consists of position control, attitude control etc. Furthermore, two control algorithms, model predictive control (MPC) and proportional-integral-derivative (PID) will be studied. Next, simulation details regarding multi-rotor using Robot Operating System (ROS) and Gazebo 3D simulator will be explored. In addition, realistic outdoor environment is constructed under Gazebo simulator. Lastly, creating a ROS node functioning as a waypoint publisher to the multi-rotor and using different controllers to analyse the multi-rotor performance will be studied. |
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Wang Youyi |
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Wang Youyi Sim, Huan Cong |
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Final Year Project |
author |
Sim, Huan Cong |
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Sim, Huan Cong |
title |
Multi-rotor control and autonomous mission through simulation |
title_short |
Multi-rotor control and autonomous mission through simulation |
title_full |
Multi-rotor control and autonomous mission through simulation |
title_fullStr |
Multi-rotor control and autonomous mission through simulation |
title_full_unstemmed |
Multi-rotor control and autonomous mission through simulation |
title_sort |
multi-rotor control and autonomous mission through simulation |
publishDate |
2019 |
url |
http://hdl.handle.net/10356/77898 |
_version_ |
1772826931028295680 |