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• W2570292948 abstract "A common problem with conventional alternator-based energy converters in vehicular applications is that they do not work at optimal operating points in their speed-power curves. This paper addresses the above problem by utilizing a Switched- Mode Rectifier (SMR) load-matching technique using real-time extremum seeking control. To this end, a multivariable control strategy is presented to track the maximum power in an alternator-based system. In particular, we propose a novel multivariable sliding-mode technique for maximum power point tracking (MPPT) in a Lundell alternator system. The proposed controller, combines the merits of multivariable extremum seeking and sliding-mode control. Utilizing the multivariable extremum seeking control makes the control model-free and increases the controller efficiency. Besides, the sliding-mode controller is robust in the face of parametric and dynamic uncertainties. The proposed controller is compared with two recent multivariable and decentralized methods. The simulation results demonstrate the advantages of the proposed controller in terms of fast and precise convergence and robust performance in face of disturbances and uncertainties." @default.
• W2570292948 created "2017-01-13" @default.
• W2570292948 creator A5000471633 @default.
• W2570292948 creator A5031639432 @default.
• W2570292948 date "2016-10-01" @default.
• W2570292948 modified "2023-09-28" @default.
• W2570292948 title "Multivariable sliding-mode extremum seeking control with application to alternator maximum power point tracking" @default.
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• W2570292948 doi "https://doi.org/10.1109/iecon.2016.7793319" @default.
• W2570292948 hasPublicationYear "2016" @default.
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