Fractional order adaptive robust formation control of multiple quad-rotor UAVs with parametric uncertainties and wind disturbances

  • Nasim ULLAH
  • , Yasir MEHMOOD
  • , Jawad ASLAM
  • , Shaoping WANG
  • , Khamphe PHOUNGTHONG*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In recent times, multiple Unmanned Aerial Vehicles (UAVs) are being widely utilized in several areas of applications such as agriculture, surveillance, disaster management, search and rescue operations. Degree of robustness of applied control schemes determines how accurate a swarm of UAVs accomplish group tasks. Formation and trajectory tracking controllers are required for the swarm of multiple UAVs. Factors like external environmental effects, parametric uncertainties and wind gusts make the controller design process as a challenging task. This article proposes fractional order formation and trajectory tacking controllers for multiple quad-rotors using Super Twisting Sliding Mode Control (STSMC) technique. To compensate the effects of the disturbances due to parametric uncertainties and wind gusts, Lyapunov function based adaptive controllers are formulated. Moreover, Lyapunov theorem is used to guarantee the stability of the proposed controllers. Three types of controllers, namely fixed gain STSMC and fractional order Adaptive Super Twisting Sliding Mode Control (ASTSMC) methods are tested for the swarm of UAVs by performing the numerical simulations in MATLAB/Simulink environment. From the presented results, it is verified that in presence of wind disturbances and parametric uncertainties, the proposed fractional order ASTSMC technique showed improved robustness as compared to the fixed gain STSMC and integer order ASTSMC.

Original languageEnglish
Pages (from-to)204-220
Number of pages17
JournalChinese Journal of Aeronautics
Volume35
Issue number8
DOIs
StatePublished - Aug 2022

Keywords

  • Adaptive robust control
  • Fractional order control
  • Nonlinear control
  • Quad-rotor UAVs
  • Swarm formation control

Fingerprint

Dive into the research topics of 'Fractional order adaptive robust formation control of multiple quad-rotor UAVs with parametric uncertainties and wind disturbances'. Together they form a unique fingerprint.

Cite this