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Trajectory tracking of a quadrotor using extend state observer based U-model enhanced double sliding mode control

Ruobing Li, Quanmin Zhu, Hamidreza Nemati, Xicai Yue, Pritesh Narayan

2022Journal of the Franklin Institute28 citationsDOIOpen Access PDF

Abstract

This paper develops a novel U-model enhanced double sliding mode controller (UDSMC) for a quadrotor based on multiple-input and multiple-output extended-state-observer (MIMO-ESO). UDSMC is designed using Lyapunov synthesis and Hurwitz stability to not only cancel the complex dynamics and nonlinearity, but also stabilize the uncertainty and external disturbance of the underlying quadrotors. MIMO-ESO is designed to estimate the unmeasurable velocities which can reduce the impact of sensor measurement errors in practice. The difficulties associated with quadrotor velocity's measurement disturbances and uncertain aerodynamics are successfully addressed in this control design. Rigorous theoretical analysis has been carried out to determine whether the proposed control system can achieve stable trajectory tracking performance, and a comparative real-time experimental study has also been carried out to verify the better effectiveness of the proposed control system than the built-in PID control system.

Topics & Concepts

Control theory (sociology)TrajectoryState observerAerodynamicsSliding mode controlObserver (physics)MIMONonlinear systemTracking (education)Lyapunov functionComputer sciencePID controllerController (irrigation)Control engineeringStability (learning theory)Lyapunov stabilityControl (management)EngineeringPhysicsArtificial intelligenceComputer networkPedagogyAgronomyQuantum mechanicsChannel (broadcasting)Machine learningAstronomyBiologyTemperature controlPsychologyAerospace engineeringAdaptive Control of Nonlinear SystemsControl and Dynamics of Mobile RobotsAdvanced Control Systems Design
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