Repository logo

Infoscience

  • English
  • French
Log In
Logo EPFL, École polytechnique fédérale de Lausanne

Infoscience

  • English
  • French
Log In
  1. Home
  2. Academic and Research Output
  3. Journal articles
  4. Robust Controller Design by Linear Programming with Application to a Double-Axis Positioning System
 
research article

Robust Controller Design by Linear Programming with Application to a Double-Axis Positioning System

Karimi, A.  
•
Kunze, M.  
•
Longchamp, R.  
2007
Control Engineering Practice

A linear programming approach is proposed to tune fixed-order linearly parameterized controllers for stable LTI plants. The method is based on the shaping of the open-loop transfer function in the Nyquist diagram. A lower bound on the crossover frequency and a new linear stability margin which guarantees lower bounds for the classical robustness margins are defined. Two optimization problems are proposed and solved by linear programming. In the first one the robustness margin is maximized for a given lower bound on the crossover frequency, whereas in the second one the integrated error is minimized with constraints on the new stability margin. The method can directly consider multi-model as well as frequency-domain uncertainties. An application to a high-precision double-axis positioning system illustrates the effectiveness of the proposed approach.

  • Files
  • Details
  • Metrics
Type
research article
DOI
10.1016/j.conengprac.2006.06.002
Web of Science ID

WOS:000242760200006

Author(s)
Karimi, A.  
Kunze, M.  
Longchamp, R.  
Date Issued

2007

Published in
Control Engineering Practice
Volume

15

Issue

2

Start page

197

End page

208

Subjects

PID Controller

•

Robust Controller

•

Linear Programming

•

Convex Optimization

•

Linear Motor

Note

Prj_ControllerDesignLinProg Prj_RobustRST_PosSyst

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LA  
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/220755
Logo EPFL, École polytechnique fédérale de Lausanne
  • Contact
  • infoscience@epfl.ch

  • Follow us on Facebook
  • Follow us on Instagram
  • Follow us on LinkedIn
  • Follow us on X
  • Follow us on Youtube
AccessibilityLegal noticePrivacy policyCookie settingsEnd User AgreementGet helpFeedback

Infoscience is a service managed and provided by the Library and IT Services of EPFL. © EPFL, tous droits réservés