2018
DOI: 10.3390/en11112989
|View full text |Cite
|
Sign up to set email alerts
|

Fuzzy Supervision Based-Pitch Angle Control of a Tidal Stream Generator for a Disturbed Tidal Input

Abstract: Energy originating in tidal and ocean currents appears to be more intense and predictable than other renewables. In this area of research, the Tidal Stream Generator (TSG) power plant is one of the most recent forms of renewable energy to be developed. The main feature of this energy converter is related to the input resource which is the tidal current speed. Since its behaviour is variable and with disturbances, these systems must be able to maintain performance despite the input variations. This article deal… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2

Citation Types

0
6
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
7
2

Relationship

1
8

Authors

Journals

citations
Cited by 11 publications
(6 citation statements)
references
References 44 publications
0
6
0
Order By: Relevance
“…Thus, identifying physical and environmental constraints is required to assess suitable sites for the exploitation of the kinetic marine energy [19]. Unlike tidal streams, which can reach flow velocity magnitudes > 2 m s −1 , sometimes exceeding 5 m s −1 (e.g., [20]), ocean currents are slower, yielding less power but reducing the overall loading that marine turbines would need to withstand. In recent years, preliminary methodologies to design Horizontal Axis Tidal Turbines (HATTs) have been developed to maximise the hydrodynamic efficiency of a turbine operating at flow velocity magnitudes of 1.0-1.5 m s −1 [21].…”
Section: Introductionmentioning
confidence: 99%
“…Thus, identifying physical and environmental constraints is required to assess suitable sites for the exploitation of the kinetic marine energy [19]. Unlike tidal streams, which can reach flow velocity magnitudes > 2 m s −1 , sometimes exceeding 5 m s −1 (e.g., [20]), ocean currents are slower, yielding less power but reducing the overall loading that marine turbines would need to withstand. In recent years, preliminary methodologies to design Horizontal Axis Tidal Turbines (HATTs) have been developed to maximise the hydrodynamic efficiency of a turbine operating at flow velocity magnitudes of 1.0-1.5 m s −1 [21].…”
Section: Introductionmentioning
confidence: 99%
“…In Table 1, the linguistic variables corresponding to the inputs-outputs of the fuzzy gain scheduling are chosen as: Negative Big (NB), Negative Small (NS), Zero (Z), Positive Big (PB), and Positive Small (PS). The decision-making output is obtained using a Max-Min fuzzy inference where the crisp outputs are calculated by the center of gravity defuzzification method [26].…”
Section: A Passivity-based Modified Super Twisting Algorithm Designmentioning
confidence: 99%
“…Remark 1: The choice of the fuzzy logic system to compute the gains of the modified super twisting algorithm is justified by the fact that fixed gains are complicated to calculate when the system is exposed to parameter uncertainties [26]. The reader is referred to [27] for more information about the super twisting control and its advantages.…”
Section: A Passivity-based Modified Super Twisting Algorithm Designmentioning
confidence: 99%
“…As a result, the power output of a specific tidal generator at a specific location can also be accurately estimated [3]. e advantages of tidal currents compared to wind resources are that seawater is denser than air and the ocean currents produce a more predictable resource than wind resource [4,5]. e tidal turbine system uses a horizontal axis tidal current turbine system.…”
Section: Introductionmentioning
confidence: 99%