SciELO - Scientific Electronic Library Online

 
vol.14 issue1Method of chloride dissemination profiles for corrosion estimate in marine environmentsModeling and simulation of a catalytic reactor for the oxidation of SO2 to SO3, using V2O5 as catalyst author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand

Journal

Article

Indicators

Related links

  • On index processCited by Google
  • Have no similar articlesSimilars in SciELO
  • On index processSimilars in Google

Share


Prospectiva

Print version ISSN 1692-8261

Abstract

ROMERO ACERO, Alvaro; OROZCO QUICENO, Julian Andrés  and  JIMENEZ BULIES, Jovani Alberto. Modelling and simulation of LQR and LFSV controllers in the Magnetic Levitation System (MLS). Prospect. [online]. 2016, vol.14, n.1, pp.28-38. ISSN 1692-8261.  https://doi.org/10.15665/rp.v14i1.637.

In this article a control analysis in state variables is presented, applied to the nonlinear Magnetic Levitation System (MLS), which consists in keeping objects suspended in the air without any mechanical contact through the interaction of magnetic force. The design of Linear Quadratic Regulator (LQR) and Linear Feedback in State Variables (LFSV) controllers is implemented with the aim of comparing the results which guarantee a better stability performance in the system. The mathematical representation of the nonlinear and linearized model of the MLS plant is examined through the design of algorithms and simulation in Simulink-Matlad. In this way, the behavior of the system when there are perturbations and input changes is contrasted, with the priority of exerting a low control action as parameter of the system to be optimized.

Keywords : Linearization; Stability; State observer; Controllers LQR; LSFV.

        · abstract in Spanish     · text in English     · English ( pdf )

 

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License