Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter

Ezequiel Rodriguez; Ramon Leyva; Christopher D. Townsend; Glen G. Farivar; Josep Pou; Margarita Norambuena; Jose Rodriguez

doi:10.1109/IECON43393.2020.9255123

Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter

Ezequiel Rodriguez, Ramon Leyva, Christopher D. Townsend, Glen G. Farivar, Josep Pou, Margarita Norambuena, Jose Rodriguez

Rolls-Royce@NTU Corporate Lab

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

This paper proposes a horizon-one constrained model predictive control (MPC) with integral action for dc-dc H-bridge converters. An integral-action MPC law is analytically derived. The proposed controller takes into account the bilinear dynamics of the converter both in the control law derivation and constraints modeling. In addition, the proposed cost function does not presume the knowledge of the equilibrium point. In this paper, a three-level H-bridge converter for regulation purposes is considered to illustrate the proposed approach, though it is applicable to other dc-dc converter topologies as well. The paper compares the performance of the proposed analytical MPC law and the solution provided by an iterative optimisation algorithm. Simulation results are provided to verify the theoretical predictions, that is, the control law rejects constant disturbances while satisfying the designed constraints.

Original language	English
Title of host publication	Proceedings - IECON 2020
Subtitle of host publication	46th Annual Conference of the IEEE Industrial Electronics Society
Publisher	IEEE Computer Society
Pages	3039-3044
Number of pages	6
ISBN (Electronic)	9781728154145
DOIs	https://doi.org/10.1109/IECON43393.2020.9255123
Publication status	Published - Oct 18 2020
Event	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020 - Virtual, Singapore, Singapore Duration: Oct 19 2020 → Oct 21 2020

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)
Volume	2020-October

Conference

Conference	46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020
Country/Territory	Singapore
City	Virtual, Singapore
Period	10/19/20 → 10/21/20

Bibliographical note

Publisher Copyright:
© 2020 IEEE.

ASJC Scopus Subject Areas

Control and Systems Engineering
Electrical and Electronic Engineering

Keywords

Bilinear system control
constraints
dc-dc power conversion
integral action
model predictive control (MPC)

Access to Document

10.1109/IECON43393.2020.9255123

Cite this

Rodriguez, E., Leyva, R., Townsend, C. D., Farivar, G. G., Pou, J., Norambuena, M., & Rodriguez, J. (2020). Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society (pp. 3039-3044). Article 9255123 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October). IEEE Computer Society. https://doi.org/10.1109/IECON43393.2020.9255123

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title = "Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter",

abstract = "This paper proposes a horizon-one constrained model predictive control (MPC) with integral action for dc-dc H-bridge converters. An integral-action MPC law is analytically derived. The proposed controller takes into account the bilinear dynamics of the converter both in the control law derivation and constraints modeling. In addition, the proposed cost function does not presume the knowledge of the equilibrium point. In this paper, a three-level H-bridge converter for regulation purposes is considered to illustrate the proposed approach, though it is applicable to other dc-dc converter topologies as well. The paper compares the performance of the proposed analytical MPC law and the solution provided by an iterative optimisation algorithm. Simulation results are provided to verify the theoretical predictions, that is, the control law rejects constant disturbances while satisfying the designed constraints.",

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author = "Ezequiel Rodriguez and Ramon Leyva and Townsend, {Christopher D.} and Farivar, {Glen G.} and Josep Pou and Margarita Norambuena and Jose Rodriguez",

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Rodriguez, E, Leyva, R, Townsend, CD, Farivar, GG, Pou, J, Norambuena, M & Rodriguez, J 2020, Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter. in Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society., 9255123, IECON Proceedings (Industrial Electronics Conference), vol. 2020-October, IEEE Computer Society, pp. 3039-3044, 46th Annual Conference of the IEEE Industrial Electronics Society, IECON 2020, Virtual, Singapore, Singapore, 10/19/20. https://doi.org/10.1109/IECON43393.2020.9255123

Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter. / Rodriguez, Ezequiel; Leyva, Ramon; Townsend, Christopher D. et al.
Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society, 2020. p. 3039-3044 9255123 (IECON Proceedings (Industrial Electronics Conference); Vol. 2020-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - This paper proposes a horizon-one constrained model predictive control (MPC) with integral action for dc-dc H-bridge converters. An integral-action MPC law is analytically derived. The proposed controller takes into account the bilinear dynamics of the converter both in the control law derivation and constraints modeling. In addition, the proposed cost function does not presume the knowledge of the equilibrium point. In this paper, a three-level H-bridge converter for regulation purposes is considered to illustrate the proposed approach, though it is applicable to other dc-dc converter topologies as well. The paper compares the performance of the proposed analytical MPC law and the solution provided by an iterative optimisation algorithm. Simulation results are provided to verify the theoretical predictions, that is, the control law rejects constant disturbances while satisfying the designed constraints.

AB - This paper proposes a horizon-one constrained model predictive control (MPC) with integral action for dc-dc H-bridge converters. An integral-action MPC law is analytically derived. The proposed controller takes into account the bilinear dynamics of the converter both in the control law derivation and constraints modeling. In addition, the proposed cost function does not presume the knowledge of the equilibrium point. In this paper, a three-level H-bridge converter for regulation purposes is considered to illustrate the proposed approach, though it is applicable to other dc-dc converter topologies as well. The paper compares the performance of the proposed analytical MPC law and the solution provided by an iterative optimisation algorithm. Simulation results are provided to verify the theoretical predictions, that is, the control law rejects constant disturbances while satisfying the designed constraints.

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Rodriguez E, Leyva R, Townsend CD, Farivar GG, Pou J, Norambuena M et al. Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter. In Proceedings - IECON 2020: 46th Annual Conference of the IEEE Industrial Electronics Society. IEEE Computer Society. 2020. p. 3039-3044. 9255123. (IECON Proceedings (Industrial Electronics Conference)). doi: 10.1109/IECON43393.2020.9255123

Analytical Constrained Model Predictive Control with Integral Action for a DC-DC H-Bridge Converter

Abstract

Publication series

Conference

Bibliographical note

ASJC Scopus Subject Areas

Keywords

Access to Document

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