Adaptive fuzzy multi-surface sliding control of multiple-input and multiple-output autonomous flight systems

Norton, Michael, Khoo, Suiyang, Kouzani, Abbas and Stojcevski, Alex 2015, Adaptive fuzzy multi-surface sliding control of multiple-input and multiple-output autonomous flight systems, IET control theory and applications, vol. 9, no. 4, 11, pp. 587-597, doi: 10.1049/iet-cta.2014.0209.

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Title Adaptive fuzzy multi-surface sliding control of multiple-input and multiple-output autonomous flight systems
Author(s) Norton, Michael
Khoo, Suiyang
Kouzani, AbbasORCID iD for Kouzani, Abbas
Stojcevski, Alex
Journal name IET control theory and applications
Volume number 9
Issue number 4
Season 11
Start page 587
End page 597
Total pages 11
Publisher Institution of Engineering and Technology
Place of publication Stevenage, Eng.
Publication date 2015
ISSN 1751-8644
Keyword(s) 6-Degrees of freedom inertia coupled aerial vehicles
Adaptive control
Adaptive fuzzy logic-based function approximator
Adaptive fuzzy multisurface sliding control
Aerospace control
AFMSSC system
Asymptotic output tracking
Autonomous aerial vehicles
Confluent control
Control system analysis and synthesis methods
Control system synthesis
Function approximation
Fuzzy control
Internal dynamics
Interpolation and function approximation (numerical analysis)
Iterative methods
Iterative multisurface sliding control design
Matched uncertainties
MIMO autonomous flight systems
Mimo systems
Mismatched uncertainties
Mobile robots
Multiple input and multiple output autonomous flight systems
Multivariable control systems
Self-adjusting control systems
System disturbances
System systems
System uncertainties
Tracking error
Trajectory tracking
Ultimate uniform boundedness
Variable structure systems
Science & Technology
Automation & Control Systems
Engineering, Electrical & Electronic
Instruments & Instrumentation
Summary In this study, we proposed an adaptive fuzzy multi-surface sliding control (AFMSSC) for trajectory tracking of 6 degrees of freedom inertia coupled aerial vehicles with multiple inputs and multiple outputs (MIMO). It is shown that an adaptive fuzzy logic-based function approximator can be used to estimate the system uncertainties and an iterative multi-surface sliding control design can be carried out to control flight. Using AFMSSC on MIMO autonomous flight systems creates confluent control that can account for both matched and mismatched uncertainties, system disturbances and excitation in internal dynamics. It is proved that the AFMSSC system guarantees asymptotic output tracking and ultimate uniform boundedness of the tracking error. Simulation results are presented to validate the analysis.
Language eng
DOI 10.1049/iet-cta.2014.0209
Field of Research 090602 Control Systems, Robotics and Automation
Socio Economic Objective 861301 Aerospace Equipment
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2015, Institution of Engineering and Technology
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