Model predictive control approaches for centrifugal compression systems

G. Torrisi; S. Grammatico; M. Morari; R. Smith

doi:10.1109/CDC.2015.7402893

Model predictive control approaches for centrifugal compression systems

G. Torrisi, S. Grammatico, M. Morari, R. Smith

Control Systems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

4 Citaten (Scopus)

2 Downloads (Pure)

Samenvatting

Model Predictive Control (MPC) techniques are considered for industrial centrifugal compression systems with nonlinear dynamics. We consider the torque provided by an external drive and a recycle valve as control actuators for the system. Closed-loop stability in the presence of control constraints is studied via the contractive control Lyapunov function method. We solve the nonlinear MPC problem to assess a performance benchmark, and then design a Sequential Quadratic Programming (SQP) MPC approach which is computationally affordable. We show in several numerical simulations based on a realistic centrifugal compressor case study that the SQP MPC technique outperforms the classic linearized MPC and performs similarly to the nonlinear MPC approach.

Originele taal-2	Engels
Titel	54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Pagina's	4320-4325
Aantal pagina's	6
ISBN van elektronische versie	978-1-4799-7885-4
ISBN van geprinte versie	978-1-4799-7884-7
DOI's	https://doi.org/10.1109/CDC.2015.7402893
Status	Gepubliceerd - 15 dec. 2015
Evenement	54th IEEE Conference on Decision and Control (CDC 2015) - "Osaka International Convention Center", Osaka, Japan Duur: 15 dec. 2015 → 18 dec. 2015 Congresnummer: 54 http://www.cdc2015.ctrl.titech.ac.jp/

Congres

Congres	54th IEEE Conference on Decision and Control (CDC 2015)
Verkorte titel	CDC 2015
Land/Regio	Japan
Stad	Osaka
Periode	15/12/15 → 18/12/15
Ander	the 54th IEEE Conference on Decision and Control
Internet adres	http://www.cdc2015.ctrl.titech.ac.jp/

Toegang tot document

10.1109/CDC.2015.7402893

Citeer dit

@inproceedings{dc189ff95bc345239d80c49a16d60617,

title = "Model predictive control approaches for centrifugal compression systems",

abstract = "Model Predictive Control (MPC) techniques are considered for industrial centrifugal compression systems with nonlinear dynamics. We consider the torque provided by an external drive and a recycle valve as control actuators for the system. Closed-loop stability in the presence of control constraints is studied via the contractive control Lyapunov function method. We solve the nonlinear MPC problem to assess a performance benchmark, and then design a Sequential Quadratic Programming (SQP) MPC approach which is computationally affordable. We show in several numerical simulations based on a realistic centrifugal compressor case study that the SQP MPC technique outperforms the classic linearized MPC and performs similarly to the nonlinear MPC approach.",

author = "G. Torrisi and S. Grammatico and M. Morari and R. Smith",

year = "2015",

month = dec,

day = "15",

doi = "10.1109/CDC.2015.7402893",

language = "English",

isbn = "978-1-4799-7884-7",

pages = "4320--4325",

booktitle = "54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "54th IEEE Conference on Decision and Control (CDC 2015), CDC 2015 ; Conference date: 15-12-2015 Through 18-12-2015",

url = "http://www.cdc2015.ctrl.titech.ac.jp/",

}

Torrisi, G, Grammatico, S, Morari, M & Smith, R 2015, Model predictive control approaches for centrifugal compression systems. in 54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan. Institute of Electrical and Electronics Engineers, Piscataway, blz. 4320-4325, 54th IEEE Conference on Decision and Control (CDC 2015), Osaka, Japan, 15/12/15. https://doi.org/10.1109/CDC.2015.7402893

Model predictive control approaches for centrifugal compression systems. / Torrisi, G.; Grammatico, S.; Morari, M. et al.
54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan. Piscataway: Institute of Electrical and Electronics Engineers, 2015. blz. 4320-4325.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

T1 - Model predictive control approaches for centrifugal compression systems

AU - Torrisi, G.

AU - Grammatico, S.

AU - Morari, M.

AU - Smith, R.

N1 - Conference code: 54

PY - 2015/12/15

Y1 - 2015/12/15

N2 - Model Predictive Control (MPC) techniques are considered for industrial centrifugal compression systems with nonlinear dynamics. We consider the torque provided by an external drive and a recycle valve as control actuators for the system. Closed-loop stability in the presence of control constraints is studied via the contractive control Lyapunov function method. We solve the nonlinear MPC problem to assess a performance benchmark, and then design a Sequential Quadratic Programming (SQP) MPC approach which is computationally affordable. We show in several numerical simulations based on a realistic centrifugal compressor case study that the SQP MPC technique outperforms the classic linearized MPC and performs similarly to the nonlinear MPC approach.

AB - Model Predictive Control (MPC) techniques are considered for industrial centrifugal compression systems with nonlinear dynamics. We consider the torque provided by an external drive and a recycle valve as control actuators for the system. Closed-loop stability in the presence of control constraints is studied via the contractive control Lyapunov function method. We solve the nonlinear MPC problem to assess a performance benchmark, and then design a Sequential Quadratic Programming (SQP) MPC approach which is computationally affordable. We show in several numerical simulations based on a realistic centrifugal compressor case study that the SQP MPC technique outperforms the classic linearized MPC and performs similarly to the nonlinear MPC approach.

U2 - 10.1109/CDC.2015.7402893

DO - 10.1109/CDC.2015.7402893

M3 - Conference contribution

SN - 978-1-4799-7884-7

SP - 4320

EP - 4325

BT - 54th IEEE Conference on Decision and Control (CDC 2015), 15-18 December 2015, Osaka, Japan

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

T2 - 54th IEEE Conference on Decision and Control (CDC 2015)

Y2 - 15 December 2015 through 18 December 2015

ER -

Model predictive control approaches for centrifugal compression systems

Samenvatting

Congres

Toegang tot document

Vingerafdruk

Citeer dit