A control strategy for nonconventional column/rectifier configuration for composition control

R. A. Hikmadiyar; J. P. Sutikno; R. Handogo; Z. Azizah

doi:10.1088/1757-899X/736/5/052027

A control strategy for nonconventional column/rectifier configuration for composition control

R. A. Hikmadiyar, J. P. Sutikno, R. Handogo, Z. Azizah

Institut Teknologi Sepuluh Nopember

Research output: Contribution to journal › Conference article › peer-review

Abstract

Energy and cost saving can be accomplished by Nonconventional column/rectifier configuration. The design with a complex arrangement system needs an advance process control such as Model Predictive Control (MPC) to get the best responses control for composition. MPC which the objective function is optimized by Improved Particle Swarm Optimization (IPSO) is required and implemented for composition control. IPSO is used to get the best values of tuning for weighting in MPC. Integral Absolute Error (IAE) is used to indicate the value of control performance criteria. The results show that IPSO-MPC is better than MPC.

Original language	English
Article number	052027
Journal	IOP Conference Series: Materials Science and Engineering
Volume	736
Issue number	5
DOIs	https://doi.org/10.1088/1757-899X/736/5/052027
Publication status	Published - 4 Mar 2020
Event	Energy Security and Chemical Engineering Congress 2019, ESChE 2019 - Kuala Lumpur, Malaysia Duration: 17 Jul 2019 → 19 Jul 2019

Access to Document

10.1088/1757-899X/736/5/052027

Cite this

@article{2c996669aa574922a9a56269b28ff47b,

title = "A control strategy for nonconventional column/rectifier configuration for composition control",

abstract = "Energy and cost saving can be accomplished by Nonconventional column/rectifier configuration. The design with a complex arrangement system needs an advance process control such as Model Predictive Control (MPC) to get the best responses control for composition. MPC which the objective function is optimized by Improved Particle Swarm Optimization (IPSO) is required and implemented for composition control. IPSO is used to get the best values of tuning for weighting in MPC. Integral Absolute Error (IAE) is used to indicate the value of control performance criteria. The results show that IPSO-MPC is better than MPC.",

author = "Hikmadiyar, {R. A.} and Sutikno, {J. P.} and R. Handogo and Z. Azizah",

note = "Publisher Copyright: {\textcopyright} Published under licence by IOP Publishing Ltd.; Energy Security and Chemical Engineering Congress 2019, ESChE 2019 ; Conference date: 17-07-2019 Through 19-07-2019",

year = "2020",

month = mar,

day = "4",

doi = "10.1088/1757-899X/736/5/052027",

language = "English",

volume = "736",

journal = "IOP Conference Series: Materials Science and Engineering",

issn = "1757-8981",

publisher = "IOP Publishing Ltd.",

number = "5",

}

TY - JOUR

T1 - A control strategy for nonconventional column/rectifier configuration for composition control

AU - Hikmadiyar, R. A.

AU - Sutikno, J. P.

AU - Handogo, R.

AU - Azizah, Z.

N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2020/3/4

Y1 - 2020/3/4

N2 - Energy and cost saving can be accomplished by Nonconventional column/rectifier configuration. The design with a complex arrangement system needs an advance process control such as Model Predictive Control (MPC) to get the best responses control for composition. MPC which the objective function is optimized by Improved Particle Swarm Optimization (IPSO) is required and implemented for composition control. IPSO is used to get the best values of tuning for weighting in MPC. Integral Absolute Error (IAE) is used to indicate the value of control performance criteria. The results show that IPSO-MPC is better than MPC.

AB - Energy and cost saving can be accomplished by Nonconventional column/rectifier configuration. The design with a complex arrangement system needs an advance process control such as Model Predictive Control (MPC) to get the best responses control for composition. MPC which the objective function is optimized by Improved Particle Swarm Optimization (IPSO) is required and implemented for composition control. IPSO is used to get the best values of tuning for weighting in MPC. Integral Absolute Error (IAE) is used to indicate the value of control performance criteria. The results show that IPSO-MPC is better than MPC.

UR - http://www.scopus.com/inward/record.url?scp=85081308470&partnerID=8YFLogxK

U2 - 10.1088/1757-899X/736/5/052027

DO - 10.1088/1757-899X/736/5/052027

M3 - Conference article

AN - SCOPUS:85081308470

SN - 1757-8981

VL - 736

JO - IOP Conference Series: Materials Science and Engineering

JF - IOP Conference Series: Materials Science and Engineering

IS - 5

M1 - 052027

T2 - Energy Security and Chemical Engineering Congress 2019, ESChE 2019

Y2 - 17 July 2019 through 19 July 2019

ER -

A control strategy for nonconventional column/rectifier configuration for composition control

Abstract

Access to Document

Other files and links

Fingerprint

Cite this