Programs
- Amrita’s Fetal Cardiology learning ( AFCL) Module – Fetal Heart Hybrid - Fellowship
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Journal Article
Thematic Areas : Biotech
Publisher : Advances in Intelligent Systems and Computing, Springer Verlag
Source : Advances in Intelligent Systems and Computing, Springer Verlag, Volume 397, p.975-985 (2016)
ISBN : 9788132226697
Keywords : Active filters, Bandpass filters, Computation theory, Computer circuits, Controllers, Electric current control, Fuzzy filters, Fuzzy logic, Fuzzy logic controllers, Harmonic analysis, Harmonic compensation, harmonics, Hysteresis, Hysteresis controller, MATLAB, Power control, Power quality, Quality control, Reactive power, Reconfigurable hardware, Semiconductor device manufacture, Shunt active filters, Soft computing, Voltage control
Campus : Coimbatore
School : School of Engineering
Center : Biotechnology, Green Energy
Department : Electrical and Electronics, biotechnology
Year : 2016
Abstract : With the advent of semiconductor technology, the usage of nonlinear loads in the power system has increased tremendously thereby creating different power quality issues. Shunt active power filters are used to eliminate current harmonics and also for reactive power compensation, which are major power quality issues. In this paper, simulation study of fuzzy logic for shunt active filter is presented. Synchronous reference frame theory is used for current control and fuzzy logic is used for DC link voltage control. The output from current control and voltage control is used for generating switching pulses for shunt active filter using a hysteresis controller. The proposed scheme is simulated using MATLAB/SIMULINK. Results are compared with a conventional control scheme based on PI controller. © Springer India 2016.
Cite this Research Publication : S. Anjana, Maya, P., and Panigrahi, B. K., “Fuzzy logic control of shunt active power filter for power quality improvement”, Advances in Intelligent Systems and Computing, vol. 397, pp. 975-985, 2016.