LAPSE:2018.0969v1
Published Article
LAPSE:2018.0969v1
Control and Optimization of a Variable-Pitch Quadrotor with Minimum Power Consumption
Shouzhao Sheng, Chenwu Sun
November 27, 2018
Abstract
Recently, there has been a rapid growth of interest in quadrotors with electric variable-pitch propellers. The control and optimization of such propellers are important factors for improving the flight performance of the vehicles. Therefore, the steady-state identification method to estimate the parameters of the mathematical model of the electric variable-pitch propeller is developed. The steady-state control and optimization scheme with minimum power consumption and the adaptive compensation scheme for the variable-pitch propeller are then proposed, based on which the response performance of the lift force produced by the variable-pitch propeller can be greatly improved by using a cascade compensation scheme. Furthermore, the direct lift-based flight control strategy is presented, which can significantly contribute to the improvement of the flight performance, precisely because the roll, pitch, yaw and vertical channels of the variable-pitch quadrotor are approximately linearized and completely decoupled from each other in this case. The experimental results demonstrate that both the endurance performance and the positioning accuracy of the variable-pitch quadrotor are improved simultaneously by using the proposed method with minimum power consumption.
Keywords
adaptive compensation, minimum power consumption, steady-state identification, steady-state optimization, variable-pitch quadrotor
Suggested Citation
Sheng S, Sun C. Control and Optimization of a Variable-Pitch Quadrotor with Minimum Power Consumption. (2018). LAPSE:2018.0969v1
Author Affiliations
Sheng S: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 29 YuDao St., Nanjing 210016, China
Sun C: College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, 29 YuDao St., Nanjing 210016, China
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Journal Name
Energies
Volume
9
Issue
4
Article Number
E232
Year
2016
Publication Date
2016-03-24
ISSN
1996-1073
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Original Submission
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PII: en9040232, Publication Type: Journal Article
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LAPSE:2018.0969v1
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https://doi.org/10.3390/en9040232
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Nov 27, 2018
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Nov 27, 2018
 
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Nov 27, 2018
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Calvin Tsay
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