eprintid: 3751
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/37/51
datestamp: 2023-11-09 15:52:01
lastmod: 2023-11-09 15:52:01
status_changed: 2023-11-09 15:47:32
type: article
metadata_visibility: show
creators_name: Tufa, L.D.
title: Direct synthesis controller identification
ispublished: pub
keywords: Closed-loop; Complex model; Controller designs; Controller parameter; Direct synthesis; Inverse identification; Plant model, Identification (control systems); Manufacture; Optimization; Technology, Time delay
note: cited By 1; Conference of 2012 3rd International Conference on Manufacturing Science and Technology, ICMST 2012 ; Conference Date: 18 August 2012 Through 19 August 2012; Conference Code:95057
abstract: Direct synthesis controller design approach has serious limitations when it is applied to plant models that have more complex models and models involving time delays. In such cases the design becomes more cumbersome and the time delay appears in the denominator making it difficult to realize. In order to get simple realizable controllers approximations of plant model and time delays are done. This leads to controllers with non-optimal parameters. In this paper, a new approach for designing the controller by combining direct synthesis approach and system identification is presented. The controller is identified from the plant model and the desired closed-loop without the need for approximating the plant model and the time delay and ensures that the controller parameters are optimal. © (2013) Trans Tech Publications, Switzerland.
date: 2013
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84872718338&doi=10.4028%2fwww.scientific.net%2fAMR.622-623.1498&partnerID=40&md5=80c466b42c72eb1d0c6271cac5df8dc2
id_number: 10.4028/www.scientific.net/AMR.622-623.1498
full_text_status: none
publication: Advanced Materials Research
volume: 622
place_of_pub: New Delhi
pagerange: 1498-1502
refereed: TRUE
isbn: 9783037855638
issn: 10226680
citation:   Tufa, L.D.  (2013) Direct synthesis controller identification.  Advanced Materials Research, 622.  pp. 1498-1502.  ISSN 10226680