您当前的位置：
首页 >
文章列表页 >
Life prediction and self⁃maintenance method of quadrotor unmanned aerial vehicle
更新时间：2025-05-26

    • Life prediction and self⁃maintenance method of quadrotor unmanned aerial vehicle

    • “In the field of drones, experts have constructed an autonomous maintenance system architecture and proposed a model predictive control strategy based on a risk assessment function, effectively extending the remaining life of the drone while maintaining its performance.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 3, Pages: 841-852(2023)
    • 作者机构：

      1.兰州理工大学 电气工程与信息工程学院， 兰州 730050

      2.兰州理工大学 甘肃省工业过程先进控制重点实验室， 兰州 730050

    • DOI：10.13229/j.cnki.jdxbgxb20221249    

      CLC： TP273

    • Received：27 September 2022，

      Published：01 March 2023

    移动端阅览

  • SHEN Fu-yuan,LI Wei,JIANG Dong-nian.Life prediction and self⁃maintenance method of quadrotor unmanned aerial vehicle[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(03):841-852. DOI： 10.13229/j.cnki.jdxbgxb20221249.

  •  
  •  

0

Views

8

下载量

2

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Obstacle avoidance control for truck platoon using distributed model predictive control
Vehicle stability control based on UniTire model
An overview of key technologies for quadruped robot motion and stability control
Real-time rolling optimization control method for gearshift of hybrid electric vehicles
Eco⁃heating control method for connected electric automotive heat pump system in winter conditions

Related Author

LI Wen-bo
XIE Hua-cheng
YU Shu-you
LIN Bao-jun
CHEN Hong
LU Heng-hui
LU Dang
WANG Fei

Related Institution

College of Electronics and Information Engineering， Tongji University
The Key Laboratory of Industrial Internet of Things and Networked Control， Chongqing University of Posts and Telecommunications
College of Control Science and Engineering， Jilin University
State Key Laboratory of Automotive Chassis Integration and Bionics， Jilin University
School of Innovation and Entrepreneurship， University of Science and Technology Beijing
0