DocumentCode :
550896
Title :
Closed-loop step response identification for improving on-line autotuning of load disturbance rejection
Author :
Liu Tao
Author_Institution :
AVT-Process Syst. Eng., RWTH Aachen Univ., Aachen, Germany
fYear :
2011
fDate :
22-24 July 2011
Firstpage :
6328
Lastpage :
6333
Abstract :
Based on a closed-loop step response test, a low-order model identification method is proposed to facilitate on-line controller tuning for load disturbance rejection in industrial engineering practices. By introducing a damping factor to the closed-loop step response for realizing the Laplace transform, a frequency response estimation algorithm is given in terms of the closed-loop system configuration for operation. Correspondingly, a model identification algorithm is analytically derived for obtaining a low-order process model of first-order-plus-dead-time (FOPDT). Another identification algorithm is developed for improving model fitting accuracy over a specified frequency range interested to controller tuning, specifically detailed for obtaining the most widely used FOPDT and second-order-plus-dead-time (SOPDT) models, based on a weighted least-squares fitting of the process frequency response points estimated in the specified frequency range. Using the identified models, a model-based controller design and tuning method is proposed for improving load disturbance rejection. Illustrative examples from recent references are used to demonstrate the effectiveness and merits of the proposed identification algorithms and controller tuning method.
Keywords :
Laplace transforms; closed loop systems; control system synthesis; damping; frequency response; identification; industrial engineering; least squares approximations; step response; Laplace transform; closed-loop step response identification; damping factor; first-order-plus-dead-time; frequency response estimation algorithm; industrial engineering; low-order process model identification method; model based controller design method; model identification algorithm; model-based controller tuning method; online load disturbance rejection autotuning; weighted least-squares fitting; Computational modeling; Fitting; Frequency response; Load modeling; Process control; Tuning; Closed-loop step test; Frequency response estimation; Load disturbance rejection; Model identification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2011 30th Chinese
Conference_Location :
Yantai
ISSN :
1934-1768
Print_ISBN :
978-1-4577-0677-6
Electronic_ISBN :
1934-1768
Type :
conf
Filename :
6001236
Link To Document :
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