Stability Analysis of Electromagnetic Levitation System Using Lyapunov-Krasovskii's Method

Pandey, Amit; Adhyaru, Dipak M.

doi:10.1109/iconat53423.2022.9726080

Cited by 3 publications

(1 citation statement)

References 9 publications

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“…The state-space model of the maglev system is developed using differential equations. Since the system comprises the mechanical and electrical subsystems, its state-space equations are governed by Newton's law of motion and Kirchoff's current and voltage laws [36]. According to Newton's law of motion, the force experienced by the maglev system is given by equation ( 1)…”

Section: Mathematical Modelling Of Electromagnetic Levitation Systemmentioning

confidence: 99%

Robust-Optimal Control of Electromagnetic Levitation System with Matched and Unmatched Uncertainties: Experimental Validation

Pandey,

Adhyaru

2023

Preprint

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A robust-optimal control approach for an electromagnetic levitation system with matched and unmatched uncertainties is proposed in this article. Because of the uncertainties in the dynamics of an electromagnetic levitation system, it is necessary to design a robust control law that will ensure the stability of the system in the presence of these uncertainties. In this framework, the dynamics of an electromagnetic levitation system are addressed in terms of matched and unmatched uncertainties. The robust control problem is translated into the optimal control problem, where the uncertainties of the electromagnetic levitation system are reflected in the cost function. The optimal control method is used to solve the robust control problem. The solution to the optimal control problem for the electromagnetic levitation system is indeed a solution to the robust control problem of the electromagnetic levitation system under matched and unmatched uncertainties. The simulation and experimental results 1 demonstrate the performance of the designed control scheme. The performance indices such as IAE, ISE, ITAE, and ITSE are compared for both uncertainties to showcase the robustness of the designed control scheme.

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Section: Mathematical Modelling Of Electromagnetic Levitation Systemmentioning

confidence: 99%

Robust-Optimal Control of Electromagnetic Levitation System with Matched and Unmatched Uncertainties: Experimental Validation

Pandey,

Adhyaru

2023

Preprint

Self Cite

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Feedback Linearization Based Robust Integral Optimal Sliding Mode Control of Electromagnetic Levitation System

Pandey

Adhyaru

2023

2023 International Conference on Intelligent and Innovative Technologies in Computing, Electrical and Electronics (IITCEE)

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Control Methods for Levitation System of EMS-Type Maglev Vehicles: An Overview

Sun

et al. 2023

Energies

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As new advanced vehicles, electromagnetic suspension (EMS)-type maglev trains have received wide attention because of their advantages such as high speed, no mechanical friction, low noise, low cost and energy consumption, strong climbing ability, and green environmental protection. The open-loop instability is one of the key points and difficulties for the levitation control systems of maglev trains. The closed-loop feedback control method must be applied to realize stable levitation. However, there are currently many levitation control methods just in theory. Considering their advantages and disadvantages, it is a major demand for maglev trains to select efficient, stable, applicable, and cost-saving methods to improve their dynamic performance and safety, which motivated this review. First, the current status of research on maglev trains is introduced in this paper, including types, system components, and research modes in various countries, followed by an analysis of the levitation control methods for EMS-type maglev trains. Then, the technical characteristics of the levitation control systems are described according to the basic principles of levitation systems, model building, mathematical derivation, and control objectives. Next, three kinds of typical levitation control methods are reviewed, namely, linear state feedback methods, nonlinear control methods, and intelligent control methods, according to their improvements and applications. Lastly, we summarize and evaluate the advantages and disadvantages of the three methods, and future developments of levitation control are suggested.

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Stability Analysis of Electromagnetic Levitation System Using Lyapunov-Krasovskii's Method

Cited by 3 publications

References 9 publications

Robust-Optimal Control of Electromagnetic Levitation System with Matched and Unmatched Uncertainties: Experimental Validation

Robust-Optimal Control of Electromagnetic Levitation System with Matched and Unmatched Uncertainties: Experimental Validation

Feedback Linearization Based Robust Integral Optimal Sliding Mode Control of Electromagnetic Levitation System

Control Methods for Levitation System of EMS-Type Maglev Vehicles: An Overview

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