Hardware implementation of maximum power point tracking for thermoelectric generators

Othman Maganga; Navneesh Phillip; Keith Burnham; A. Montecucco; J. Siviter; A. Knox; K. Simpson

doi:10.1007/s11664-014-3046-0

Hardware implementation of maximum power point tracking for thermoelectric generators

Othman Maganga, Navneesh Phillip, Keith Burnham, A. Montecucco, J. Siviter, A. Knox, K. Simpson

Research output: Contribution to journal › Article

8 Citations (Scopus)

Abstract

This work describes the practical implementation of two maximum power point tracking (MPPT) algorithms, namely those of perturb and observe, and extremum seeking control. The proprietary dSPACE system is used to perform hardware in the loop (HIL) simulation whereby the two control algorithms are implemented using the MATLAB/Simulink (Mathworks, Natick, MA) software environment in order to control a synchronous buck-boost converter connected to two commercial thermoelectric modules. The process of performing HIL simulation using dSPACE is discussed, and a comparison between experimental and simulated results is highlighted. The experimental results demonstrate the validity of the two MPPT algorithms, and in conclusion the benefits and limitations of real-time implementation of MPPT controllers using dSPACE are discussed

Original language	English
Pages (from-to)	2293-2300
Journal	Journal of Electronic Materials
Volume	43
Issue number	6
DOIs	https://doi.org/10.1007/s11664-014-3046-0
Publication status	Published - 2014

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Keywords

dSPACE
ESC
MPPT
P&O
TEG
thermoelectric

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AU - Maganga, Othman

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AU - Burnham, Keith

AU - Montecucco, A.

AU - Siviter, J.

AU - Knox, A.

AU - Simpson, K.

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N2 - This work describes the practical implementation of two maximum power point tracking (MPPT) algorithms, namely those of perturb and observe, and extremum seeking control. The proprietary dSPACE system is used to perform hardware in the loop (HIL) simulation whereby the two control algorithms are implemented using the MATLAB/Simulink (Mathworks, Natick, MA) software environment in order to control a synchronous buck-boost converter connected to two commercial thermoelectric modules. The process of performing HIL simulation using dSPACE is discussed, and a comparison between experimental and simulated results is highlighted. The experimental results demonstrate the validity of the two MPPT algorithms, and in conclusion the benefits and limitations of real-time implementation of MPPT controllers using dSPACE are discussed

AB - This work describes the practical implementation of two maximum power point tracking (MPPT) algorithms, namely those of perturb and observe, and extremum seeking control. The proprietary dSPACE system is used to perform hardware in the loop (HIL) simulation whereby the two control algorithms are implemented using the MATLAB/Simulink (Mathworks, Natick, MA) software environment in order to control a synchronous buck-boost converter connected to two commercial thermoelectric modules. The process of performing HIL simulation using dSPACE is discussed, and a comparison between experimental and simulated results is highlighted. The experimental results demonstrate the validity of the two MPPT algorithms, and in conclusion the benefits and limitations of real-time implementation of MPPT controllers using dSPACE are discussed

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Hardware implementation of maximum power point tracking for thermoelectric generators

Abstract

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Keywords

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