3D positional control of magnetic levitation system using adaptive control: improvement of positioning control in horizontal plane

2012 ◽  
Author(s):  
Toshimasa Nishino ◽  
Yasuhiro Fujitani ◽  
Norihiko Kato ◽  
Naoaki Tsuda ◽  
Yoshihiko Nomura ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Horizontal Plane ◽  
Magnetic Levitation ◽  
Positioning Control ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Positional Control

Positioning control of magnetic levitation system by SMC

2005 ◽  
Author(s):  
Jeong-Woo Jeon ◽  
M. Caraiani ◽  
Ki-Chang Lee ◽  
Don-Ha Hwang ◽  
Joo-Hoon Lee ◽  
...  
Keyword(s):  
Magnetic Levitation ◽  
Positioning Control ◽  
Levitation System ◽  
Magnetic Levitation System

scholarly journals Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1455
Author(s):  
Rahul Sanmugam Gopi ◽  
Soundarya Srinivasan ◽  
Kavitha Panneerselvam ◽  
Yuvaraja Teekaraman ◽  
Ramya Kuppusamy ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Tracking Control ◽  
Magnetic Levitation ◽  
Model Reference ◽  
Adaptive Scheme ◽  
Control Scheme ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Model Reference Adaptive ◽  
Adaptive Control Scheme

Magnetic Levitation is a process in which an object is suspended with the support of the magnetic field. Despite being an unstable system, Magnetic Levitation Systems (MAGLEV) have profound applications in various fields of engineering. MAGLEV systems are sensitive, unstable, and nonlinear and uncertainties always pose a challenge in Controller Design. As a solution, adaptive controllers came into existence with adaptation mechanisms to cover the system uncertainties. In this study, a simple, novel, and an effective approach to the Enhanced Adaptive Control scheme is proposed for the ball position control and tracking of an unstable Magnetic Levitation System. The proposed Enhanced Model Reference Adaptive Scheme (EMRAC) follows the same phenomenon of the Model Reference Adaptive Scheme (MRAC) with a slight difference in its control strategy. The proposed scheme consists of Proportional-Integral-Velocity plus Feed Forward as the control structure and a modified version of the standard tuning rule is used as the adaptation mechanism. The control scheme is applied to a standard benchmark Magnetic Levitation System and the tracking performance of the scheme is tested by applying square and multi-sine pattern trajectories to the Magnetic Levitation System. The performance of the developed Enhanced MRAC performance is compared with that of the Proportional Integral Velocity with Feedforward Control (PIV+FF) scheme and the proposed control scheme is proven to be more suitable. The performance of the proposed scheme is also analyzed with Power Spectral Density and Root Mean Square Error to evaluate the ball position tracking control. It is inferred from the experimental results that Enhanced MRAC accommodates the changes and makes the system more reliable with good tracking ability.

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