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The application of disturbance observer-based sliding mode control for magnetic levitation systems:

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TLDR
In this article, a sliding mode controller is proposed, with a simple yet effective disturbance observer to perform disturbance rejection, and the simulation results and the experimental results verify the validity of the robust controller.
Abstract
A control algorithm for the position tracking of a magnetic levitation system is presented in this article. The magnetic levitation system is well known for its non-linear dynamic characteristics and open-loop instability. The external disturbances will deteriorate the dynamic performance of the magnetic levitation system, and may give rise to system instability. This problem triggers enormous interests in designing various controllers for the non-linear dynamic system. In this article, a magnetic levitation system is first modelled. Then, a sliding mode controller is proposed, with a simple yet effective disturbance observer to perform disturbance rejection. Both the simulation results and the experimental results verify the validity of the robust controller.

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Citations
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Journal ArticleDOI

Dynamic Surface Control Using Neural Networks for a Class of Uncertain Nonlinear Systems With Input Saturation

TL;DR: The problem of explosion of complexity inherent in the conventional backstepping method is avoided and the ultimately bounded convergence of all closed-loop signals is guaranteed via Lyapunov analysis.
Journal ArticleDOI

Direct Adaptive Neural Control for a Class of Uncertain Nonaffine Nonlinear Systems Based on Disturbance Observer

TL;DR: Both state feedback and output feedback direct adaptive controls can guarantee semiglobal uniform boundedness of the closed-loop system signals as rigorously proved by Lyapunov analysis.
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Adaptive fuzzy tracking control for a class of uncertain MIMO nonlinear systems using disturbance observer

TL;DR: Lyapunov approach based analysis shows that semi-global uniform boundedness of the closed-loop signals is guaranteed under the proposed tracking control techniques.
Journal ArticleDOI

Disturbance observer based adaptive neural prescribed performance control for a class of uncertain nonlinear systems with unknown backlash-like hysteresis

TL;DR: An adaptive neural control method combined with backstepping technique, and the radial basis function neural networks (RBFNNs) is proposed for a class of strict-feedback nonlinear systems with guaranteed predefined performance subject to unknown backlash-like hysteresis input, uncertain parameters and external unknown disturbance.
Journal ArticleDOI

Robust and precision control for a directly-driven XY table

TL;DR: In this article, a robust and precision controller for a high-speed linear voice-coil motor, direct-drive, XY positioning table is proposed based on electromechanical co-simulation.
References
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Journal ArticleDOI

A robust MIMO terminal sliding mode control scheme for rigid robotic manipulators

TL;DR: A robust MIMO terminal sliding mode technique and a few structural properties of rigid robotic manipulators are developed so that the output tracking error can converge to zero in a finite time, and strong robustness with respect to large uncertain dynamics can be guaranteed.
Journal ArticleDOI

Modeling and nonlinear control of magnetic levitation systems

TL;DR: A nonlinear model for magnetic levitation systems which is validated with experimental measurements and a real-time implementation of this model based on differential geometry is developed.
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Design and analysis of the nonlinear feedback linearizing control for an electromagnetic suspension system

TL;DR: This paper presents some results on the robust stabilization of a class of feedback linearizable nonlinear single-input/single-output (SISO) systems exhibiting parametric uncertainty and analysis and implementation of nonlinear feedback linearizing control for an electromagnetic suspension (EMS) system.
Journal ArticleDOI

Brief Adaptive robust nonlinear control of a magnetic levitation system

TL;DR: The combined adaptive and robust approach helps to overcome some well-known practical problems such as high-gain feedback of the robust controller, and poor transient performance of the adaptive controller, so that better control performance can be achieved compared to the case where either is employed alone.
Journal ArticleDOI

Robust servo-system based on two-degree-of-freedom control with sliding mode

TL;DR: Through simulations and experiments, it is proved that the introduction of nonlinear control (sliding mode) drastically improves the disturbance suppression characteristics of a linear system (two-degree-of-freedom control).
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