JMSE, Free Full-Text
Por um escritor misterioso
Last updated 01 março 2025
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Power extraction has become a critical consideration in tidal stream turbine (TST) systems. In practice, the lumped disturbances under varying tidal current conditions may deteriorate the maximum power point tracking (MPPT) performance and cumulate fatigue damage over-rated power. Besides, the conventional pitch controllers are sensitive to parameter uncertainties of the nonlinear TST system. In this paper, a novel output power internal control strategy based on pseudo-tip-speed ratio and adaptive genetic algorithm (PTSR-AGA) is proposed to improve the anti-interference ability and reliability. The proposed control scheme consists of two parts. The first part proposes the PTSR method for MPPT to predict the TST’s operating point which contributes reducing the logical errors assigned to swell disturbances. The second part designed an AGA for the optimization of the pitch controller to conduct its angle delay. A reduced pitch control strategy is applied to the preprocessing of the pitch controller to reduce the mechanical wear over the rated power. The comparative simulation results validate the TST system can obtain a higher power efficiency of energy capture and a smoother power output with the proposed control strategies at full range of tidal current speed.
Flowchart Of The Block Sparse Time Frequency Analysis Algorithm
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JSME: a free molecule editor in JavaScript, Journal of Cheminformatics
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JMSE, Free Full-Text
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JMSE, Free Full-Text
JMS logo. Free logo maker.
Journal of Materials Science: Materials in Electronics
Bilal Wadood - Lecturer - University of Swabi
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JMSE, Free Full-Text
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10000 PDFs Review articles in MICROPLASTICS
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Rsw Solutions Alle Kommunikationssoftware Herunterladen - Colaboratory
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Journal of Management Science and Engineering
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(PDF) Accuracy of sand beach topography surveying by drones and photogrammetry
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Investigation into the impact of aged microplastics on oil behavior in shoreline environments - ScienceDirect
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Journal of Software: Evolution and Process - Wiley Online Library
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