scholarly journals Development of Utilizing Magnetic Brake in Small Wind Turbine Speed Control using Fuzzy Logic Controller

2016 ◽  
Vol 9 (13) ◽  
Author(s):  
D. Jackson ◽  
M. Dev Anand ◽  
T. Sivarajan ◽  
D. M. Mary Synthia Regis Prabha
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Fuzzy Logic Controller ◽  
Speed Control ◽  
Small Wind Turbine ◽  
Turbine Speed

Wind Turbine Speed Control with Maximum Power Extracting Based on Fuzzy Logic

2014 ◽  
Vol 698 ◽  
pp. 168-172 ◽  
Author(s):  
Vadim Z. Manusov ◽  
Sherzod K. Khaldarov
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Wind Turbine ◽  
Speed Control ◽  
Maximum Power ◽  
Continuous Control ◽  
Control Scheme ◽  
Fuzzy Logic Approach ◽  
Logic Approach ◽  
Turbine Speed

In this paper, an adapted control scheme based on fuzzy logic approach to adjusting turbine speed so as to track the maximum power points is proposed. This scheme facilitates continuous control of wind turbine speed, adapting to the changing wind speed.

Speed Control of BLDC by Using Neutrosophic Fuzzy Logic Controller

2021 ◽  
Author(s):  
Gulnur Hacat ◽  
Yucel Cetinceviz ◽  
Erdal Sehirli
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Speed Control

Speed Control of a Wind Turbine Using Fuzzy Logic

2019 ◽  
pp. 522-536 ◽  
Author(s):  
Raul Garduno ◽  
Monica Borunda ◽  
Miguel A. Hernandez ◽  
Gorka Zubeldia
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Speed Control

scholarly journals FPGA based Performance Analysis of Speed Control Permanent Magnet Synchronous Motor Drive with Pi and Fuzzy Logic Controller

2020 ◽  
Vol 8 (6) ◽  
pp. 5317-5321
Keyword(s):  
Fuzzy Logic ◽  
Permanent Magnet ◽  
Fuzzy Logic Controller ◽  
Permanent Magnet Synchronous Motor ◽  
Speed Control ◽  
Synchronous Motor ◽  
Resistive Load ◽  
Speed Tracking ◽  
Overall Performance ◽  
Random Change

Present research demonstrates an experimental work and simulation of FPGA based PMSM drives consists of PI and Fuzzy logic controller, for speed control under load, zero load and random change in load conditions. It also delineates the overall performance of a closed loop vector Permanent Magnet Synchronous Motor (PMSM) drive consisting of two loops, current for inner and speed for outer loops for better speed tracking systems. The resistive load which is connected across the armature of dc shunt motor and coupled with PMSM is varied. The resultant speed and torque are studied in details. Result showed that in case of fuzzy logic controller, the peak overshoot and settling time can be minimized. This FPGA based PMSM drives can be used for different paramount application under constant speed.

scholarly journals Dynamic response improvement of hybrid system by implementing ANN-GA for fast variation of photovoltaic irradiation and FLC for wind turbine

2015 ◽  
Vol 64 (2) ◽  
pp. 291-314 ◽  
Author(s):  
Maziar Izadbakhsh ◽  
Alireza Rezvani ◽  
Majid Gandomkar
Keyword(s):  
Fuzzy Logic ◽  
Wind Speed ◽  
Dynamic Response ◽  
Wind Turbine ◽  
Hybrid System ◽  
Pitch Angle ◽  
Fuzzy Logic Controller ◽  
Control Method ◽  
Control Technique ◽  
Power Curves

Abstract In this paper, dynamic response improvement of the grid connected hybrid system comprising of the wind power generation system (WPGS) and the photovoltaic (PV) are investigated under some critical circumstances. In order to maximize the output of solar arrays, a maximum power point tracking (MPPT) technique is presented. In this paper, an intelligent control technique using the artificial neural network (ANN) and the genetic algorithm (GA) are proposed to control the MPPT for a PV system under varying irradiation and temperature conditions. The ANN-GA control method is compared with the perturb and observe (P&O), the incremental conductance (IC) and the fuzzy logic methods. In other words, the data is optimized by GA and then, these optimum values are used in ANN. The results are indicated the ANN-GA is better and more reliable method in comparison with the conventional algorithms. The allocation of a pitch angle strategy based on the fuzzy logic controller (FLC) and comparison with conventional PI controller in high rated wind speed areas are carried out. Moreover, the pitch angle based on FLC with the wind speed and active power as the inputs can have faster response that lead to smoother power curves, improving the dynamic performance of the wind turbine and prevent the mechanical fatigues of the generator

Data-Tuned Fuzzy Logic Controller Applied to a Horizontal Axis Wind System

2020 ◽  
Author(s):  
Lorenzo Dambrosio
Keyword(s):  
Fuzzy Logic ◽  
Wind Turbine ◽  
Control Algorithm ◽  
Fuzzy Logic Controller ◽  
Tracking Error ◽  
Synchronous Generator ◽  
Horizontal Axis ◽  
Fuzzy Rules ◽  
Wind System ◽  
Horizontal Axis Wind Turbine

Abstract This paper deals with the control problem concerning the output voltage frequency and amplitude regulation of a wind system power plant not connected to the supply grid. The wind system configuration includes a horizontal-axis wind-turbine which drives a synchronous generator. An appropriate modeling approach has been adopted for both the wind-turbine and the synchronous generator. The proposed controller makes use of the fuzzy logic environment in order to take advantage of the wind plant system informations integrated into a limited number of equilibrium condition points (input variable - output variable pairs). The fuzzy logic controller described in the present paper merges the most appropriate fuzzy rules clusters, based on the steady state working conditions. Then, thanks to a Least Square Estimator algorithm, the proposed control algorithm evaluates, for each sample time, the linear relation between control law correction and control tracking error levels. In order to demonstrate robustness of the suggested fuzzy control algorithm, two sets of results have been provided: the first one consider a fuzzy base with equally spaced rules, whereas, in the second set results, the number of fuzzy rules is reduced by a 25%.

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