FPGA Implementation and Investigation of Hybrid Artificial Bee Colony Algorithm-based Single Phase Shunt Active Filter

2020 ◽  
Author(s):  
Rameshkumar Kanagavel ◽  
Indragandhi Vairavasundaram
2017 ◽  
Vol 27 (01) ◽  
pp. 1850016 ◽  
Author(s):  
R. Karthika ◽  
V. Suresh Kumar

In this paper, a DC-link voltage tuning algorithm is introduced to control the shunt active filter (SAF) with sinusoidal and trapezoidal power supplies. The purpose of the proposed optimization algorithm is for tuning the PI controller and reducing the harmonics level. Artificial bee colony (ABC) algorithm is introduced for tuning the gain of the controller and the voltage variation of power converter by using PWM pulses. It regulates the DC-link voltage as per the signal harmonics and the active power loss of the system is reduced. Therefore, the accurate compensation current is injected by the SAF devices. The proposed ABC-PI controller-based harmonic compensation method is implemented in MATLAB/Simulink platform. Then, the Total Harmonic Distortion (THD) and the power factor are evaluated. The results of the proposed method are compared with PI controller and PSO-PI controller. The proposed method has fast DC-link voltage response, low THD and good power factor.


2020 ◽  
Vol 38 (9A) ◽  
pp. 1384-1395
Author(s):  
Rakaa T. Kamil ◽  
Mohamed J. Mohamed ◽  
Bashra K. Oleiwi

A modified version of the artificial Bee Colony Algorithm (ABC) was suggested namely Adaptive Dimension Limit- Artificial Bee Colony Algorithm (ADL-ABC). To determine the optimum global path for mobile robot that satisfies the chosen criteria for shortest distance and collision–free with circular shaped static obstacles on robot environment. The cubic polynomial connects the start point to the end point through three via points used, so the generated paths are smooth and achievable by the robot. Two case studies (or scenarios) are presented in this task and comparative research (or study) is adopted between two algorithm’s results in order to evaluate the performance of the suggested algorithm. The results of the simulation showed that modified parameter (dynamic control limit) is avoiding static number of limit which excludes unnecessary Iteration, so it can find solution with minimum number of iterations and less computational time. From tables of result if there is an equal distance along the path such as in case A (14.490, 14.459) unit, there will be a reduction in time approximately to halve at percentage 5%.


2013 ◽  
Vol 32 (12) ◽  
pp. 3326-3330
Author(s):  
Yin-xue ZHANG ◽  
Xue-min TIAN ◽  
Yu-ping CAO

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