Dynamic Relative Gain Array Estimation using Local Polynomial Approximation Approach
Number of Authors: 3
2016 (English)In: Modeling, Identification and Control, ISSN 0332-7353, E-ISSN 1890-1328, Vol. 37, no 4, 247-259 p.Article in journal (Refereed) Published
This article presents a procedure that utilizes the local polynomial approximation approach in the estimation of the Dynamic Relative Gain Array (DRGA) matrix and its uncertainty bounds for weakly nonlinear systems. This procedure offers enhanced frequency resolution and noise reduction when random excitation is used. It also allows separation of nonlinear distortions with shorter measuring time when multisine excitation is imposed. The procedure is illustrated using the well-known quadruple tank process as a case study in simulation and in real life. Besides, a comparison with the pairing results of the static RGA, nonlinear RGA and DRGA based on linearized quadruple tank model for different simulation cases is performed.
Place, publisher, year, edition, pages
2016. Vol. 37, no 4, 247-259 p.
Research subject Signal Processing
IdentifiersURN: urn:nbn:se:ltu:diva-61818DOI: 10.4173/mic.2016.4.5ISI: 000391206900005ScopusID: 2-s2.0-85013356890OAI: oai:DiVA.org:ltu-61818DiVA: diva2:1071278
Validerad; 2017; Nivå 2; 2017-02-03 (andbra)2017-02-032017-02-032017-03-13Bibliographically approved