Fuzzy Logic Active Yaw Control of a Low-Power Wind Generator

2021 ◽  
Vol 19 (11) ◽  
pp. 1941-1948
Author(s):  
Alfredo Haro ◽  
Hector Young ◽  
Boris Pavez
Keyword(s):  
Fuzzy Logic ◽  
Low Power ◽  
Yaw Control ◽  
Wind Generator

Design of a piezoelectric energy conversion based wind generator

2021 ◽  
pp. 002072092110134
Author(s):  
Sibel Akkaya Oy ◽  
Ali Ekber Özdemir
Keyword(s):  
Low Power ◽  
Energy Conversion ◽  
Output Voltage ◽  
Sensor Nodes ◽  
Maximum Output ◽  
Wireless Sensor Nodes ◽  
Wind Speeds ◽  
Wind Generator ◽  
Piezoelectric Energy ◽  
Renewable Energy Generation

This manuscript presents a new experimental wind generator based on piezoelectric energy conversion for low power applications. The aim is to demonstrate an alternative renewable energy generation method for low power applications. The generator has four blades of a propeller equipped with a total of twenty-four (24) thin film piezoelectric transducers (TFPTs). The output voltage is generated using a newly developed circuit topology. The generator was tested at three wind speeds 10 m/s, 14 m/s and 18 m/s, with a maximum output voltage of 10.2 V being produced at a wind speed of 18 m/s. Results show that this generator has promise to be suitable for low power batteryless applications, for example wireless sensor nodes (WSN).

Robust fuzzy SRAM for accurate and ultra‐low‐power MVL and fuzzy logic applications

2016 ◽  
Vol 52 (25) ◽  
pp. 2032-2034
Author(s):  
M. Moonesan ◽  
R. Faghih Mirzaee ◽  
M. Sam Daliri ◽  
K. Navi
Keyword(s):  
Fuzzy Logic ◽  
Low Power ◽  
Ultra Low Power

Fuzzy Logic Supervisor-Based Primary Frequency Control Experiments of a Variable-Speed Wind Generator

2009 ◽  
Vol 24 (1) ◽  
pp. 407-417 ◽  
Author(s):  
Mostafa El Mokadem ◽  
Vincent Courtecuisse ◽  
Christophe Saudemont ◽  
Benoit Robyns ◽  
Jacques Deuse
Keyword(s):  
Fuzzy Logic ◽  
Frequency Control ◽  
Variable Speed ◽  
Wind Generator ◽  
Primary Frequency ◽  
Primary Frequency Control

Active Yaw Control of a Vehicle using a Fuzzy Logic Algorithm

2012 ◽  
Author(s):  
Simanta Ghosh ◽  
Anindya Deb ◽  
Manoj Mahala ◽  
Morteza Tanbakuchi ◽  
Matthew Makowski
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Algorithm ◽  
Yaw Control

scholarly journals Fuzzy Regulator Design for Wind Turbine Yaw Control

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Stefanos Theodoropoulos ◽  
Dionisis Kandris ◽  
Maria Samarakou ◽  
Grigorios Koulouras
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Automatic Control ◽  
Wind Turbine ◽  
Power Output ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Yaw Control ◽  
Fuzzy Regulator ◽  
System Effectiveness

This paper proposes the development of an advanced fuzzy logic controller which aims to perform intelligent automatic control of the yaw movement of wind turbines. The specific fuzzy controller takes into account both the wind velocity and the acceptable yaw error correlation in order to achieve maximum performance efficacy. In this way, the proposed yaw control system is remarkably adaptive to the existing conditions. In this way, the wind turbine is enabled to retain its power output close to its nominal value and at the same time preserve its yaw system from pointless movement. Thorough simulation tests evaluate the proposed system effectiveness.

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