Publisher DOI: 10.1109/TCST.2017.2692744
Title: LPV Model Order Reduction by Parameter-Varying Oblique Projection
Language: English
Authors: Theis, Julian  
Seiler, Peter 
Werner, Herbert 
Issue Date: May-2018
Source: IEEE Transactions on Control Systems Technology 3 (26): 773-784 (2018-05)
Journal or Series Name: IEEE Transactions on Control Systems Technology 
Abstract (english): A method to reduce the dynamic order of linear parameter-varying (LPV) systems in grid representation is developed in this paper. It consists of an oblique projection and is novel in its use of a parameter-varying nullspace to define the direction of this projection. Parameter-varying state transformations in general lead to parameter rate dependence in the model. The proposed projection avoids this dependence and maintains a consistent state space basis for the reduced-order system. This extension of the projection framework lends itself very naturally to balanced truncation and related approaches that employ Gramian-based information to quantify the importance of subspaces. The proposed method is first compared to LPV balancing and truncation on a numerical example and then used to approximate two LPV systems: the longitudinal dynamics model of an aeroservoelastic unmanned aerial vehicle and the far wake model of a wind turbine.
ISSN: 1063-6536
Institute: Regelungstechnik E-14 
Type: (wissenschaftlicher) Artikel
Appears in Collections:Publications without fulltext

Show full item record

Page view(s)

Last Week
Last month
checked on Oct 1, 2020

Google ScholarTM


Add Files to Item

Note about this record


Items in TORE are protected by copyright, with all rights reserved, unless otherwise indicated.