Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System

This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Sing...
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Autor*in:	Bhat Vinayambika S [verfasserIn] Thirunavukkarasu I. [verfasserIn] Shanmuga Priya S. [verfasserIn] Shreesha C [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch ; Französisch

Erschienen:	2018

Übergeordnetes Werk:	In: MATEC Web of Conferences - EDP Sciences, 2013, 153, p 06010(2018)
Übergeordnetes Werk:	volume:153, p 06010 ; year:2018

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1051/matecconf/201815306010

Katalog-ID:	DOAJ07149359X

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allfieldsSound	10.1051/matecconf/201815306010 doi (DE-627)DOAJ07149359X (DE-599)DOAJbbcae7c8c0b145ec997c72a49bf276db DE-627 ger DE-627 rakwb eng fre TA1-2040 Bhat Vinayambika S verfasserin aut Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System 2018 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation. Engineering (General). Civil engineering (General) Thirunavukkarasu I. verfasserin aut Shanmuga Priya S. verfasserin aut Shreesha C verfasserin aut In MATEC Web of Conferences EDP Sciences, 2013 153, p 06010(2018) (DE-627)720166209 (DE-600)2673602-0 2261236X nnns volume:153, p 06010 year:2018 https://doi.org/10.1051/matecconf/201815306010 kostenfrei https://doaj.org/article/bbcae7c8c0b145ec997c72a49bf276db kostenfrei https://doi.org/10.1051/matecconf/201815306010 kostenfrei https://doaj.org/toc/2261-236X Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 153, p 06010 2018
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callnumber-first	T - Technology
author	Bhat Vinayambika S
spellingShingle	Bhat Vinayambika S misc TA1-2040 misc Engineering (General). Civil engineering (General) Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System
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topic_title	TA1-2040 Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System
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title	Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System
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author_browse	Bhat Vinayambika S Thirunavukkarasu I. Shanmuga Priya S. Shreesha C
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title_sort	predictive control algorithm based on integral action-design and implementation on a conical tank system
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title_auth	Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System
abstract	This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.
abstractGer	This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.
abstract_unstemmed	This article presents a Model Predictive Control (MPC) algorithm based on integral action. Level control in process industry is challenging because of nonlinearity presents in the shape of the tank, actuators etc. The conical tank system is taken as benchmark process in the present study. It is Single Input Single Output (SISO) nonlinear system whose cross-sectional area varies along the tank height. The control algorithm is simulated using MATLAB m-file environment. The effectiveness of the predictive algorithm is also presented by experimentally validating it on a conical tank system at different heights. The interfacing of m-file with the experimental setup is the challenging task faced during the initial stage of experimental validation.
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title_short	Predictive Control Algorithm Based on Integral Action-Design and Implementation on a Conical Tank System
url	https://doi.org/10.1051/matecconf/201815306010 https://doaj.org/article/bbcae7c8c0b145ec997c72a49bf276db https://doaj.org/toc/2261-236X
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