Multivariable Sliding-Mode Extremum Seeking Control With Application to MPPT of an Alternator-Based Energy Conversion System

In this paper, a novel multivariable sliding-mode extremum-seeking controller (MVESC) is proposed and utilized for maximum power point tracking in an alternator-based energy conversion system. The design extends a scalar-based sliding-mode extremum-seeking controller to the multivariable case by int...

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Veröffentlicht in:IEEE transactions on industrial electronics (1982) 2017-08, Vol.64 (8), p.6383-6391
Hauptverfasser: Toloue, Shirin Fartash, Moallem, Mehrdad
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Moallem, Mehrdad
description In this paper, a novel multivariable sliding-mode extremum-seeking controller (MVESC) is proposed and utilized for maximum power point tracking in an alternator-based energy conversion system. The design extends a scalar-based sliding-mode extremum-seeking controller to the multivariable case by introducing a sliding-manifold vector for multiparameter control. The behavior of the controller in terms of convergence characteristics is studied using a Lyapunov-like stability analysis. The proposed MVESC is applied to an alternator-based energy conversion system, which results in optimal power conversion at different speeds and output voltages. Furthermore, the performance of the proposed controller is compared with a multivariable gradient-based method through experimental studies. The results demonstrate that the proposed controller offers advantages in terms of speed, accuracy, and robust performance.
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subjects Alternator
Alternators
Convergence
Energy conversion
extremum seeking control (ESC)
Manifolds
Maximum power point trackers
maximum power point tracking (MPPT)
Maximum power tracking
Multivariable control
multivariable extremum seeking
Robustness
sliding mode
Sliding mode control
Stability analysis
title Multivariable Sliding-Mode Extremum Seeking Control With Application to MPPT of an Alternator-Based Energy Conversion System
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