Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control

Vadim Azhmyakov; Erik I. Vemest; Luz A.Guzman Trujillo; Patricia A. Valenzuela

doi:10.1109/CCAC.2017.8276442

Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control

Vadim Azhmyakov, Erik I. Vemest, Luz A.Guzman Trujillo, Patricia A. Valenzuela

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Abstract

© 2017 IEEE. This paper studies optimization of dynamic systems described by affine Functional Differential Equations (FDEs) involving a sup-operator. We deal with a class of FDEs-featured Optimal Control Problems (OCPs) in the presence of some additional control constraints. Our aim is to derive the first-order optimality conditions and propose an effective solution algorithm. Moreover, we are interested in applications of the resulting optimal design techniques to the Maximum Power Point Tracking (MPPT) control of solar energy plants. We develop a conceptual computational approach to the specific class of OCPs under consideration and also point possible applications of this new methodology in MPPT control.

Original language	American English
Pages	1-7
Number of pages	7
DOIs	https://doi.org/10.1109/CCAC.2017.8276442
State	Published - 30 Jan 2018
Event	2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings - Duration: 30 Jan 2018 → …

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Conference	2017 IEEE 3rd Colombian Conference on Automatic Control, CCAC 2017 - Conference Proceedings
Period	30/01/18 → …

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abstract = "{\textcopyright} 2017 IEEE. This paper studies optimization of dynamic systems described by affine Functional Differential Equations (FDEs) involving a sup-operator. We deal with a class of FDEs-featured Optimal Control Problems (OCPs) in the presence of some additional control constraints. Our aim is to derive the first-order optimality conditions and propose an effective solution algorithm. Moreover, we are interested in applications of the resulting optimal design techniques to the Maximum Power Point Tracking (MPPT) control of solar energy plants. We develop a conceptual computational approach to the specific class of OCPs under consideration and also point possible applications of this new methodology in MPPT control.",

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AU - Vemest, Erik I.

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AU - Valenzuela, Patricia A.

PY - 2018/1/30

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AB - © 2017 IEEE. This paper studies optimization of dynamic systems described by affine Functional Differential Equations (FDEs) involving a sup-operator. We deal with a class of FDEs-featured Optimal Control Problems (OCPs) in the presence of some additional control constraints. Our aim is to derive the first-order optimality conditions and propose an effective solution algorithm. Moreover, we are interested in applications of the resulting optimal design techniques to the Maximum Power Point Tracking (MPPT) control of solar energy plants. We develop a conceptual computational approach to the specific class of OCPs under consideration and also point possible applications of this new methodology in MPPT control.

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Optimization of affine dynamic systems evolving with state suprema: New perspectives in maximum power point tracking control

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