DocumentCode :
2952123
Title :
Methodology for identifying quadrotor parameters, attitude estimation and control
Author :
Elsamanty, Mahmoud ; Khalifa, Ahmed ; Fanni, Mohamed ; Ramadan, Ahmed ; Abo-Ismail, Ahmed
Author_Institution :
Mechatron. & Robot. Eng. Dept., Egypt-Japan Univ. of Sci. & Technol., Alexandria, Egypt
fYear :
2013
fDate :
9-12 July 2013
Firstpage :
1343
Lastpage :
1348
Abstract :
This paper describes a methodology to identify all the parameters of a quadrotor system including the structure parameters and rotor assembly parameters. A CAD model is developed using SOLIDWORKS to calculate the mass moment of inertia and all the missing geometrical parameters. A three simple test rigs are built and used to identify the relationship between the motor input Pulse Width Modulation (PWM) signal and the angular velocity, the thrust force, and drag moment of the rotors. A simple algorithm is implemented to an inertial measurement unit (IMU) for estimating the attitude and altitude of the quadrotor. Experimental set up is built to verify and test the accuracy of these proposed techniques. A controller is designed based on the feedback linearization method such that the quadrotor attitude can be stabilized. Finally, the experimental results show the effectiveness of the proposed techniques and the controller design.
Keywords :
attitude control; autonomous aerial vehicles; control system CAD; linearisation techniques; pulse width modulation; CAD model; SOLIDWORKS; angular velocity; attitude control; attitude estimation; controller design; drag moment; feedback linearization method; inertial measurement unit; pulse width modulation signal; quadrotor attitude; quadrotor parameters; quadrotor system; rotor assembly parameters; rotors; structure parameters; thrust force; Angular velocity; Assembly; Drag; Force; Propellers; Pulse width modulation; Rotors; feedback linearization; inertial measurement unit; parameter identification; quadrotor; thrust and drag moment identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advanced Intelligent Mechatronics (AIM), 2013 IEEE/ASME International Conference on
Conference_Location :
Wollongong, NSW
ISSN :
2159-6247
Print_ISBN :
978-1-4673-5319-9
Type :
conf
DOI :
10.1109/AIM.2013.6584281
Filename :
6584281
Link To Document :
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