Digital control of an electromagnetic suspension system using the TMS-32020 signal processor

Sinha, Prasun; Pech, G.; Abbassi, Hadj Ahmed

doi:10.1016/0005-1098(91)90142-o

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…The most popular classical design of the controllers for EMS systems is a feedback linearizing control. In [8], the classical feedback controller provides a linearized model about a nominal operating point and design procedures. The classical feedback controller takes the form ( )…”

Section: Resultsmentioning

confidence: 99%

Adaptive State Feedback Control of Electromagnetic Levitation System for Uncertain Ball Mass

Park

Jae

Choi

2011

AEF

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Abstract. For the last several decades, many results have been presented for controlling nonlinear systems that have parameter uncertainty. In this paper, we propose an adaptive state feedback controller based on input-output feedback linearization for electromagnetic levitation system(EMS) with unknown ball mass. We analytically show the regulation of the controlled electromagnetic levitation system by the proposed adaptive state feedback controller. We show the experiment results of electromagnetic levitation system and where there is uncertain ball mass.

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Section: Resultsmentioning

confidence: 99%

Adaptive State Feedback Control of Electromagnetic Levitation System for Uncertain Ball Mass

Park

Jae

Choi

2011

AEF

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“…In which k p , k v and k a are the feedback gains corresponding to the air gap change, the velocity and the acceleration of the magnet [7,8]. Values of electromagnetic parameters are shown in appendix.…”

Section: The Electromagnetic Force Modelmentioning

confidence: 99%

Analysis of dynamic response of the high-speed EMS maglev vehicle/guideway coupling system with random irregularity

Jin

Qing-chao

Yang

2007

Vehicle System Dynamics

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Analysis of dynamic response of the high-speed EMS maglev vehicle/guideway coupling system with random irregularity, Vehicle A new dynamic model of a high-speed EMS maglev vehicle/guideway interaction is presented. The model considers the vehicle and the guideway as an integral system and couples vertical interaction with lateral interaction. The vehicle subsystem is modeled as a multi-body system, which runs on the guideway with a constant velocity. The guideway substructure is modeled as an elastic beam. The attractive magnetic forces between vehicle and guideway are decided by controller, observer, and filter. A special simulation program is developed. Numerical results of the program are compared with test results. The results show that the coupling model is appropriate and the simulation program is credible primarily. Applications of coupling model to the investigation of the effect of irregularities on maglev system are reported at the end of the paper. The studies in this paper can be used to evaluate and optimize dynamic performances of the high-speed EMS maglev system.

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Vibration Analysis of EMS-Type Maglev Vehicles Traveling over a Long-Span Bridge with Double Lines

Wei

Guo

2020

KSCE J Civ Eng

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Digital control of an electromagnetic suspension system using the TMS-32020 signal processor

Cited by 5 publications

References 2 publications

Adaptive State Feedback Control of Electromagnetic Levitation System for Uncertain Ball Mass

Adaptive State Feedback Control of Electromagnetic Levitation System for Uncertain Ball Mass

Analysis of dynamic response of the high-speed EMS maglev vehicle/guideway coupling system with random irregularity

Vibration Analysis of EMS-Type Maglev Vehicles Traveling over a Long-Span Bridge with Double Lines

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