Nonlinear model predictive control of a magnetic levitation system

2013 ◽  
Vol 21 (9) ◽  
pp. 1250-1258 ◽  
Author(s):  
Thomas Bächle ◽  
Sebastian Hentzelt ◽  
Knut Graichen
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Model ◽  
Magnetic Levitation ◽  
Nonlinear Model Predictive Control ◽  
Levitation System ◽  
Magnetic Levitation System

scholarly journals Model predictive control of magnetic levitation system

2020 ◽  
Vol 10 (6) ◽  
pp. 5802
Author(s):  
Lafta E. Jumaa Alkurawy ◽  
Khalid G. Mohammed
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Controller Design ◽  
Magnetic Levitation ◽  
Lagrange Function ◽  
Sufficient Conditions ◽  
Nonlinear Controller ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
The Stability

In this work, we suggest a technique of controller design that applied to systems based on nonlinear. We inform the sufficient conditions for the stability of closed loop system. The asymptotic stability of equilibrium and the nonlinear controller can be applied to improvement the stability of Magnetic Levitation system(MagLev). The MagLev nonlinear nodel can be obtained by state equation based on Lagrange function and Model Predictive Control has been used for MagLev system.

scholarly journals Model predictive control of a magnetic levitation system using two-level state feedback

2020 ◽  
Vol 53 (5-6) ◽  
pp. 962-970
Author(s):  
Zhenlin Zhang ◽  
Yonghua Zhou ◽  
Xin Tao
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Strategy ◽  
State Feedback ◽  
Magnetic Levitation ◽  
Air Gap ◽  
State Variables ◽  
Maglev Train ◽  
Levitation System ◽  
Magnetic Levitation System

The magnetic levitation system is a critical part to guarantee safe and reliable operations of a maglev train. In this paper, the control strategy is proposed for the magnetic levitation system based on the model predictive control incorporating two-level state feedback. Taking advantage of the measurable state variables, that is, air gap, electromagnet acceleration, and control current through high-resolution sensor measurement, the first-level nonlinear state feedback is to linearize the unstable nonlinear magnetic levitation system, and the second-level linear state feedback is to further stabilize the system and improve the dynamic performances, which together provide a stable prediction model. The simulation results demonstrate that the proposed control strategy can ensure high-precision air gap control and favorable disturbance resistance ability.

Sign in / Sign up

Export Citation Format

Share Document