2018
DOI: 10.3390/su10103746
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Hybrid Neural Fuzzy Design-Based Rotational Speed Control of a Tidal Stream Generator Plant

Abstract: Artificial Intelligence techniques have shown outstanding results for solving many tasks in a wide variety of research areas. Its excellent capabilities for the purpose of robust pattern recognition which make them suitable for many complex renewable energy systems. In this context, the Simulation of Tidal Turbine in a Digital Environment seeks to make the tidal turbines competitive by driving up the extracted power associated with an adequate control. An increment in power extraction can only be archived by i… Show more

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Cited by 5 publications
(2 citation statements)
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“…The classical PI controller is widely used because of its simple structure and easy parameter adjustment [1], but it is not sufficient to cope with the nonlinearity of the system as well as parameter variations. In [4,5], fuzzy adaptive PI control is used to adjust the controller parameters. In [6], a fuzzy fractional order PID controller based on passivity is proposed which is robust to swell effects and parameter variations.…”
Section: Introductionmentioning
confidence: 99%
“…The classical PI controller is widely used because of its simple structure and easy parameter adjustment [1], but it is not sufficient to cope with the nonlinearity of the system as well as parameter variations. In [4,5], fuzzy adaptive PI control is used to adjust the controller parameters. In [6], a fuzzy fractional order PID controller based on passivity is proposed which is robust to swell effects and parameter variations.…”
Section: Introductionmentioning
confidence: 99%
“…There are several reported studies contributing to the HATCTs via different points of view [13][14][15][16][17]. The existing literature includes studies on the performance of unidirectional and bi-directional HATCTs, through computational, pilot model tests and full-scale trials.…”
Section: Introductionmentioning
confidence: 99%