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

2009 ◽  
Vol 224 (8) ◽  
pp. 1635-1644 ◽  
Author(s):  
Z G Sun ◽  
N C Cheung ◽  
S W Zhao ◽  
W C Gan
Keyword(s):  
Disturbance Observer ◽  
Magnetic Levitation ◽  
Sliding Mode ◽  
Dynamic Performance ◽  
Open Loop ◽  
Robust Controller ◽  
Linear Dynamic ◽  
Levitation System ◽  
Non Linear ◽  
Magnetic Levitation System

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.

scholarly journals Super-twisting Control of Magnetic Levitation System

2020 ◽  
Vol 32 ◽  
pp. 01004
Author(s):  
Rupak Rokade ◽  
Deepti Khimani
Keyword(s):  
Sliding Mode Control ◽  
Magnetic Levitation ◽  
Sliding Mode ◽  
Second Order ◽  
Mode Control ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Twisting Control ◽  
Super Twisting Control ◽  
Second Order Sliding Mode

This article presents the implementation results of second order sliding mode control (SOSM) for magnetic levitation system. In practical systems, especially when the actuators are electro-mechanical, the conventional (first order) sliding mode control can not be used effectively as it exhibits chattering, which is highly undesirable. Therefore, for such systems, sliding mode control of higher order can be a suitable choice as the reduce the chattering significantly. In this article the super-twisting control, which isa second order sliding mode control, is designed and implemented for the experimental setup of Maglev system, Model 730 developed by ECP systems.

Modelling, Simulation & Control of Non-Linear Magnetic Levitation System

2018 ◽  
Author(s):  
Muhammad Junaid Khan ◽  
Muhammad Junaid ◽  
Sahibzada Bilal ◽  
Sadia Jabeen Siddiqi ◽  
Haseeb Ahmad Khan
Keyword(s):  
Magnetic Levitation ◽  
Levitation System ◽  
Non Linear ◽  
Magnetic Levitation System ◽  
Simulation Control ◽  
Modelling Simulation

Observer-based feedback for the magnetic levitation system

2011 ◽  
Vol 34 (4) ◽  
pp. 422-435 ◽  
Author(s):  
Jerzy Baranowski ◽  
Paweł Piątek
Keyword(s):  
Magnetic Levitation ◽  
Numerical Differentiation ◽  
Careful Analysis ◽  
High Gain ◽  
Model Parameters ◽  
Stable Operation ◽  
Levitation System ◽  
Non Linear ◽  
Magnetic Levitation System ◽  
The Mathematical Model

Control of active magnetic bearings is an important area of research. The laboratory magnetic levitation system can be interpreted as a model of a single axis of bearings and is a useful testbed for control algorithms. The mathematical model of this system is highly non-linear and requires careful analysis and identification. The system is observable from position measurements as long as the electromagnet is powered as shown during the research. Practically measurable signals are the position and the coil current. The velocity that is necessary for any stabilizing control usually is obtained by numerical differentiation of the position. A more sophisticated approach is to estimate the velocity with an observer. Efficient observer types for this system are high-gain and non-linear reduced observers. The velocity estimated by an observer can be effectively used instead of a derivative in PID control of the position. Such an approach substantially improves control quality and extends the range of system’s stable operation. Even greater improvement is introduced by the addition of the non-linear feedforward to the control structure. The best results, provided the model parameters are correctly identified, are obtained with a control system consisting of the PID controller, the high-gain observer and the non-linear feedforward.

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