Consensus-Based Powered Cruise and Yaw Controls for Unmanned Aerial Vehicle With Distributed Electric Propulsion System

The distributed electric propulsion (DEP) system has been favored over the conventional centralized propulsion system in applications of unmanned aerial vehicles (UAVs). However, most existing techniques in propulsion system management adopt centralized control approaches, which could not fully utilize the decentralized features brought out by the DEP system. This article proposes a novel control approach for UAVs with the DEP system (DEP-UAV). The propellers in the DEP system are coordinated in a distributed manner to collectively regulate the UAV’s flight speed and course angle, which are known as powered cruise and yaw controls. To prevent the UAV from stalling out, the powered cruise and yaw controls over each propeller are designed to be sufficiently decoupled. Detailed controller designs and stability analyses are presented. The proposed distributed control algorithm has been fully implemented on hardware devices and validated on a controller hardware-in-the-loop (C-HIL) testbed for DEP-UAV. The experimental results indicate that without the decoupling between cruise and course controls, the DEP-UAV becomes unstable after 100 s and ultimately stalls. However, with the proposed control system in place, a deviation in flight speed is efficiently corrected with minimal overshoot, and the desired course angle adjustment is achieved.

Authors

Institutions

Publication Details

Journal
IEEE Journal of Emerging and Selected Topics in Power Electronics
Published
2024-08-26
DOI
https://doi.org/10.1109/jestpe.2024.3449437
Citations
10
Primary Topic
Electric Vehicles and Infrastructure
Type
article
Field-Weighted Citation Impact
2.09

Funders

Controls
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article

Consensus-Based Powered Cruise and Yaw Controls for Unmanned Aerial Vehicle With Distributed Electric Propulsion System

Fei Gao, Cong Yuan, Yuhua Du, Yigeng Huangfu et al.
10 citations
IEEE Journal of Emerging and Selected Topics in Power Electronics
Electric Vehicles and Infrastructure
2.09
article

Consensus-Based Powered Cruise and Yaw Controls for Unmanned Aerial Vehicle With Distributed Electric Propulsion System

Fei Gao, Cong Yuan, Yuhua Du, Yigeng Huangfu, Chao Gong, Zhipeng Li
article en
10 citations

Abstract

The distributed electric propulsion (DEP) system has been favored over the conventional centralized propulsion system in applications of unmanned aerial vehicles (UAVs). However, most existing techniques in propulsion system management adopt centralized control approaches, which could not fully utilize the decentralized features brought out by the DEP system. This article proposes a novel control approach for UAVs with the DEP system (DEP-UAV). The propellers in the DEP system are coordinated in a distributed manner to collectively regulate the UAV’s flight speed and course angle, which are known as powered cruise and yaw controls. To prevent the UAV from stalling out, the powered cruise and yaw controls over each propeller are designed to be sufficiently decoupled. Detailed controller designs and stability analyses are presented. The proposed distributed control algorithm has been fully implemented on hardware devices and validated on a controller hardware-in-the-loop (C-HIL) testbed for DEP-UAV. The experimental results indicate that without the decoupling between cruise and course controls, the DEP-UAV becomes unstable after 100 s and ultimately stalls. However, with the proposed control system in place, a deviation in flight speed is efficiently corrected with minimal overshoot, and the desired course angle adjustment is achieved.

IEEE Journal of Emerging and Selected Topics in Power ElectronicsVol. 13(2)
Northwestern Polytechnical University (CN), Franche-Comté Électronique Mécanique Thermique et Optique - Sciences et Technologies (FR), Université de technologie de belfort-montbéliard (FR)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 13%
Electric Vehicles and Infrastructure
2.09
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