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author:

Lin, L. (Lin, L..) [1] | Chen, C. (Chen, C..) [2] | Su, K. (Su, K..) [3] | Chen, B. (Chen, B..) [4] | Li, H. (Li, H..) [5]

Indexed by:

Scopus

Abstract:

In order to solve the short-time drift problem of height data caused by environmental and noisy pollution, a multi-rotor aircraft control system was designed to prevent the aircraft from falling rapidly in a short time during the autonomous cruise. The problem of data loss due to strong interference on the UAV, which is equipped with the Real-time kinematic (RTK), can be well solved by introducing an inertial measurement unit (IMU) for high resolution, and using an Extended Kalman filter and IMU to calculate system acceleration (ACC) as well as altitude predictions for eliminating height drift due to sensor errors. In addition, the ADRC control algorithm is also introduced to control the attitude of the aircraft, to realize the control compensation, and finally to control the height of the drone through the three-ring cascade PID algorithm. The experimental results show that the proposed algorithm can make the UAV get better height and attitude control even though the external disturbance is unknown. © 2019 IEEE.

Keyword:

ADRC; attitude control algorithm; extended Kalman filter

Community:

  • [ 1 ] [Lin, L.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 2 ] [Chen, C.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 3 ] [Su, K.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 4 ] [Chen, B.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China
  • [ 5 ] [Li, H.]College of Physics and Information Engineering, Fuzhou University, Fuzhou, China

Reprint 's Address:

  • [Chen, C.]College of Physics and Information Engineering, Fuzhou UniversityChina

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Source :

2019 IEEE 2nd International Conference on Electronics and Communication Engineering, ICECE 2019

Year: 2019

Page: 428-433

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 11

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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