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

Rahul Sanmugam Gopi, Soundarya Srinivasan, Kavitha Panneerselvam, Yuvaraja Teekaraman, Ramya Kuppusamy and Shabana Urooj
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Rahul Sanmugam Gopi: Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai 600062, India
Soundarya Srinivasan: Vellore Institute of Technology, School of Electrical Engineering, Vellore 632014, India
Kavitha Panneerselvam: Vellore Institute of Technology, School of Electrical Engineering, Vellore 632014, India
Yuvaraja Teekaraman: MOBI-Mobility, Logistics and Automotive Technology Research Centre, EVERGi, Vrije Universiteit Brussels, 1050 Ixelles, Belgium
Ramya Kuppusamy: Department of Electrical and Electronics Engineering, Sri Sairam College of Engineering, Bangalore 562106, India
Shabana Urooj: Department of Electrical Engineering, College of Engineering, Princess Nourah Bint Abdulrahman University, Riyadh 84428, Saudi Arabia

Energies, 2021, vol. 14, issue 5, 1-13

Abstract: 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.

Keywords: control; adaptive; magnetic; levitation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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