Generalized predictive control tuning by controller matching

N. Tran, R. Ryvo Octaviano, L. Ozkan, T. Backx

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

11 Citaties (Scopus)

Uittreksel

The tuning of state-space model predictive control (MPC) based on reverse engineering has been investigated in literature using the inverse optimality problem ( [1] and [2]). The aim of the inverse optimality is to find the tuning parameters of MPC to obtain the same behavior as an arbitrary linear-time-invariant (LTI) controller (favorite controller). This requires equal control horizon and prediction horizon, and loop-shifting is often used to handle non-strictly-proper favorite controllers. This paper presents a reverse-engineering tuning method for MPC based on transfer function formulation, also known as generalized predictive control (GPC). The feasibility conditions of the matching of a GPC with a favorite controller are investigated. This approach uses a control horizon equal to one and does not require any loop-shifting techniques to deal with non-strictly-proper favorite controllers. The method is applied to a binary distillation column example

Congres

Congres2014 American Control Conference (ACC 2014), June 4-6, 2014, Portland, OR, USA
Verkorte titelACC 2014
LandVerenigde Staten van Amerika
StadPortland, OR
Periode4/06/146/06/14
Ander2014 American Control Conference, Portland, OR
Internet adres

Vingerafdruk

Tuning
Model predictive control
Controllers
Reverse engineering
Distillation columns
Inverse problems
Transfer functions

Citeer dit

Tran, N., Ryvo Octaviano, R., Ozkan, L., & Backx, T. (2014). Generalized predictive control tuning by controller matching. In Proceedings of the 2014 American Control Conference (blz. 4889-4894). Institute of Electrical and Electronics Engineers. DOI: 10.1109/ACC.2014.6858951
Tran, N. ; Ryvo Octaviano, R. ; Ozkan, L. ; Backx, T./ Generalized predictive control tuning by controller matching. Proceedings of the 2014 American Control Conference. Institute of Electrical and Electronics Engineers, 2014. blz. 4889-4894
@inproceedings{cab551e1b3a74a13a80f6abdcbdba3c5,
title = "Generalized predictive control tuning by controller matching",
abstract = "The tuning of state-space model predictive control (MPC) based on reverse engineering has been investigated in literature using the inverse optimality problem ( [1] and [2]). The aim of the inverse optimality is to find the tuning parameters of MPC to obtain the same behavior as an arbitrary linear-time-invariant (LTI) controller (favorite controller). This requires equal control horizon and prediction horizon, and loop-shifting is often used to handle non-strictly-proper favorite controllers. This paper presents a reverse-engineering tuning method for MPC based on transfer function formulation, also known as generalized predictive control (GPC). The feasibility conditions of the matching of a GPC with a favorite controller are investigated. This approach uses a control horizon equal to one and does not require any loop-shifting techniques to deal with non-strictly-proper favorite controllers. The method is applied to a binary distillation column example",
author = "N. Tran and {Ryvo Octaviano}, R. and L. Ozkan and T. Backx",
year = "2014",
month = "6",
doi = "10.1109/ACC.2014.6858951",
language = "English",
isbn = "978-1-4799-3274-0",
pages = "4889--4894",
booktitle = "Proceedings of the 2014 American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers",
address = "United States",

}

Tran, N, Ryvo Octaviano, R, Ozkan, L & Backx, T 2014, Generalized predictive control tuning by controller matching. in Proceedings of the 2014 American Control Conference. Institute of Electrical and Electronics Engineers, blz. 4889-4894, Portland, OR, Verenigde Staten van Amerika, 4/06/14. DOI: 10.1109/ACC.2014.6858951

Generalized predictive control tuning by controller matching. / Tran, N.; Ryvo Octaviano, R.; Ozkan, L.; Backx, T.

Proceedings of the 2014 American Control Conference. Institute of Electrical and Electronics Engineers, 2014. blz. 4889-4894.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

TY - GEN

T1 - Generalized predictive control tuning by controller matching

AU - Tran,N.

AU - Ryvo Octaviano,R.

AU - Ozkan,L.

AU - Backx,T.

PY - 2014/6

Y1 - 2014/6

N2 - The tuning of state-space model predictive control (MPC) based on reverse engineering has been investigated in literature using the inverse optimality problem ( [1] and [2]). The aim of the inverse optimality is to find the tuning parameters of MPC to obtain the same behavior as an arbitrary linear-time-invariant (LTI) controller (favorite controller). This requires equal control horizon and prediction horizon, and loop-shifting is often used to handle non-strictly-proper favorite controllers. This paper presents a reverse-engineering tuning method for MPC based on transfer function formulation, also known as generalized predictive control (GPC). The feasibility conditions of the matching of a GPC with a favorite controller are investigated. This approach uses a control horizon equal to one and does not require any loop-shifting techniques to deal with non-strictly-proper favorite controllers. The method is applied to a binary distillation column example

AB - The tuning of state-space model predictive control (MPC) based on reverse engineering has been investigated in literature using the inverse optimality problem ( [1] and [2]). The aim of the inverse optimality is to find the tuning parameters of MPC to obtain the same behavior as an arbitrary linear-time-invariant (LTI) controller (favorite controller). This requires equal control horizon and prediction horizon, and loop-shifting is often used to handle non-strictly-proper favorite controllers. This paper presents a reverse-engineering tuning method for MPC based on transfer function formulation, also known as generalized predictive control (GPC). The feasibility conditions of the matching of a GPC with a favorite controller are investigated. This approach uses a control horizon equal to one and does not require any loop-shifting techniques to deal with non-strictly-proper favorite controllers. The method is applied to a binary distillation column example

U2 - 10.1109/ACC.2014.6858951

DO - 10.1109/ACC.2014.6858951

M3 - Conference contribution

SN - 978-1-4799-3274-0

SP - 4889

EP - 4894

BT - Proceedings of the 2014 American Control Conference

PB - Institute of Electrical and Electronics Engineers

ER -

Tran N, Ryvo Octaviano R, Ozkan L, Backx T. Generalized predictive control tuning by controller matching. In Proceedings of the 2014 American Control Conference. Institute of Electrical and Electronics Engineers. 2014. blz. 4889-4894. Beschikbaar vanaf, DOI: 10.1109/ACC.2014.6858951