Valve stiction quantification using particle swarm optimisation with linear decrease inertia weight

Conference proceedings article

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Publication Details

Author list: Aksornsri P., Wongsa S.

Publisher: Hindawi

Publication year: 2016

ISBN: 9781467397490

ISSN: 0146-9428

eISSN: 1745-4557

URL: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988904795&doi=10.1109%2fECTICon.2016.7561380&partnerID=40&md5=b2213526cd2364dd4e9a9f5ca8183f89

Languages: English-Great Britain (EN-GB)

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Abstract

This paper presents an algorithm for quantifying valve stiction in control loop based on linear decrease inertia weight particle swarm optimisation. The amount of stiction present in the valve is estimated by identifying parameters of Kano model which is a two-parameter data-driven stiction modelling based on the parallelogram of MV-PV phase plot. Simulation results have demonstrated the efficacy of this algorithm in valve stiction quantification and also its robustness to oscillations due to inappropriate controller tuning. ฉ 2016 IEEE.

Keywords

Kano model, linear decrease inertia weight, paticle swarm optimization, valve stiction quantification