TUHH Open Research
Help
  • Log In
    New user? Click here to register.Have you forgotten your password?
  • English
  • Deutsch
  • Communities & Collections
  • Publications
  • Research Data
  • People
  • Institutions
  • Projects
  • Statistics
  1. Home
  2. TUHH
  3. Publication References
  4. Low-order robust decentralized controller design for a HVDC power link: a combined riccati - genetic algorithms approach
 
Options

Low-order robust decentralized controller design for a HVDC power link: a combined riccati - genetic algorithms approach

Publikationstyp
Conference Paper
Date Issued
2004
Sprache
English
Author(s)
Farag, Adel  
Werner, Herbert  
Institut
Regelungstechnik E-14  
TORE-URI
http://hdl.handle.net/11420/14915
Journal
IFAC Proceedings Volumes  
Volume
37
Issue
11
Start Page
677
End Page
681
Citation
IFAC Proceedings Volumes 37 (11): 677-681 (2004)
Contribution to Conference
10th IFAC/IFORS/IMACS/IFIP Symposium on Large Scale Systems 2004: Theory and Applications  
Publisher DOI
10.1016/S1474-6670(17)31687-7
Scopus ID
2-s2.0-85041052233
Publisher
Elsevier
In this paper an iterative technique based on a combination of Riccati solver and Genetic Algorithm (GA) is applied to the problem of designing a decentralized robust low-order controller for a High Voltage DC power link. The design problem is split into a convex subproblem which can be solved efficiently by a Ricatti solver, and a non-convex subproblem which is solved using GA. For a 35th order model of the HVDC link considered here a first order controller that achieves robustness over a wide range of operating conditions is designed by imposing a H norm constraint. An additional pole region constraint is used to trade nominal performance against robustness.
Subjects
Algebraic Ricatti equation
Decentralized control
Fixed structure controller
Genetic algorithms
Robust control
DDC Class
600: Technik
620: Ingenieurwissenschaften
TUHH
Weiterführende Links
  • Contact
  • Send Feedback
  • Cookie settings
  • Privacy policy
  • Impress
DSpace Software

Built with DSpace-CRIS software - Extension maintained and optimized by 4Science
Design by effective webwork GmbH

  • Deutsche NationalbibliothekDeutsche Nationalbibliothek
  • ORCiD Member OrganizationORCiD Member Organization
  • DataCiteDataCite
  • Re3DataRe3Data
  • OpenDOAROpenDOAR
  • OpenAireOpenAire
  • BASE Bielefeld Academic Search EngineBASE Bielefeld Academic Search Engine
Feedback