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Trajectory tracking for a quadrotor under wind perturbations: sliding mode control with state-dependent gains
- Source :
- Journal of The Franklin Institute, Journal of The Franklin Institute, Elsevier, In press, ⟨10.1016/j.jfranklin.2018.04.042⟩, Journal of The Franklin Institute, Elsevier, In press, 〈10.1016/j.jfranklin.2018.04.042〉, Journal of The Franklin Institute, inPress, ⟨10.1016/j.jfranklin.2018.04.042⟩, Journal of The Franklin Institute, In press, ⟨10.1016/j.jfranklin.2018.04.042⟩
- Publication Year :
- 2018
- Publisher :
- Elsevier BV, 2018.
-
Abstract
- International audience; The problem of position tracking of a mini drone subject to wind perturbations is investigated. The solution is based on a detailed unmanned aerial vehicle (UAV) model, with aerodynamic coefficients and external disturbance components, which is introduced in order to better represent the impact of the wind field. Then, upper bounds of wind-induced disturbances are characterized, which allow a sliding mode control (SMC) technique to be applied with guaranteed convergence properties. The peculiarity of the considered case is that the disturbance upper bounds depend on the control amplitude itself (i.e. the system is nonlinear in control), which leads to a new procedure for the control tuning presented in the paper. The last part of the paper is dedicated to the analysis and reduction of chattering effects, as well as investigation of rotor dynamics issues. Conventional SMC with constant gains, proposed first order SMC, and proposed quasi-continuous SMC are compared. Nonlinear UAV simulator, validated through in-door experiments, is used to demonstrate the effectiveness of the proposed controls.
- Subjects :
- 0209 industrial biotechnology
Sliding mode control
Computer Networks and Communications
Computer science
02 engineering and technology
Tracking (particle physics)
[SPI.AUTO]Engineering Sciences [physics]/Automatic
law.invention
Computer Science::Robotics
020901 industrial engineering & automation
law
Control theory
[ SPI.AUTO ] Engineering Sciences [physics]/Automatic
[INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering
[ INFO.INFO-AU ] Computer Science [cs]/Automatic Control Engineering
Convergence (routing)
[INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY]
0202 electrical engineering, electronic engineering, information engineering
[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]
Rotor (electric)
Applied Mathematics
[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]
Aerodynamic coefficients
Aerodynamics
Nonlinear system
Control and Systems Engineering
Wind rejection
Quadrotor modeling
Signal Processing
Trajectory
[ INFO.INFO-SY ] Computer Science [cs]/Systems and Control [cs.SY]
020201 artificial intelligence & image processing
Reduction (mathematics)
Subjects
Details
- ISSN :
- 00160032
- Volume :
- 355
- Database :
- OpenAIRE
- Journal :
- Journal of the Franklin Institute
- Accession number :
- edsair.doi.dedup.....7938b9fa92c17578a787cf1fa557e69d
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2018.04.042