Robust control of nonlinear MAGLEV suspension system with mismatched uncertainties via DOBC approach

Jun Yang, Argyrios Zolotas, Wen Hua Chen, Konstantinos Michail, Shihua Li

Research output: Journal article publicationJournal articleAcademic researchpeer-review

222 Citations (Scopus)

Abstract

Robust control of a class of uncertain systems that have disturbances and uncertainties not satisfying "matching" condition is investigated in this paper via a disturbance observer based control (DOBC) approach. In the context of this paper, "matched" disturbances/uncertainties stand for the disturbances/uncertainties entering the system through the same channels as control inputs. By properly designing a disturbance compensation gain, a novel composite controller is proposed to counteract the "mismatched" lumped disturbances from the output channels. The proposed method significantly extends the applicability of the DOBC methods. Rigorous stability analysis of the closed-loop system with the proposed method is established under mild assumptions. The proposed method is applied to a nonlinear MAGnetic LEViation (MAGLEV) suspension system. Simulation shows that compared to the widely used integral control method, the proposed method provides significantly improved disturbance rejection and robustness against load variation.

Original languageEnglish
Pages (from-to)389-396
Number of pages8
JournalISA Transactions
Volume50
Issue number3
DOIs
Publication statusPublished - Jul 2011

Keywords

  • ''Mismatched" disturbances
  • Disturbance compensation gain
  • Nonlinear MAGLEV suspension system
  • State-space disturbance observer

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Instrumentation
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

Fingerprint

Dive into the research topics of 'Robust control of nonlinear MAGLEV suspension system with mismatched uncertainties via DOBC approach'. Together they form a unique fingerprint.

Cite this