Coping with parametric uncertainties in magnetic levitation system

Shafiq, K.; Bukhari, Halima Zahra; Ahmed, Shakil; Bhatti, Aamer Iqbal

doi:10.1109/inmic.2008.4777711

Cited by 2 publications

(2 citation statements)

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“…However, the magnetic suspension system is highly non-linear, including various uncertainties, and its active-controlled type is inherently unstable. Hence, changing the system operating points regarding the model uncertainties is a challenge to construct a highperformance feedback control of magnetic suspension systems [2].…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the dynamic behavior of the linearized model is studied for control-loop analysis and for compensation in such an unstable system in different operating points. A linear matrix inequality (LMI) based approach is suggested for the position tracking problem of a magnetic levitation system in the presence of parametric uncertainties in [2]. [7] studies a discontinuous integral controller implemented to a magnetic suspension system to provide robust tracking of a time-varying reference in the presence of time-varying perturbations or uncertainties.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Control of an Electromagnetic Suspension System

Morovati

Djouadi²

2023

J Stud Res

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The electromagnetic suspension system is a motivating and inspiring project for students to investigate the primary principles of electrical engineering, such as control theory, including robust performance and modeling uncertainty. This paper studies robust control methods for an electromagnetic suspension system with H_2, H_infinity and mu-synthesis control approaches to provide robust system performance in the presence of uncertainties and disturbances. System uncertainties are critical parts of the interconnected system modeling, affecting its performance. The control methods tackle the system uncertainties, including unmodeled dynamics, parametric uncertainty, and linearization error. Robust performance analysis for all proposed control methods is provided, and closed-loop system performance is illustrated. The performance robustness is validated using illustrative simulation results.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%