An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization
This paper presents an adaptive fuzzy logic controller (FLC) design technique for photovoltaic (PV) inverters using differential search algorithm (DSA). This technique avoids the exhaustive traditional trial and error procedure in obtaining membership functions (MFs) used in conventional FLCs. This...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
|
| Series: | International Journal of Photoenergy |
| Online Access: | http://dx.doi.org/10.1155/2014/469313 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832561419562778624 |
|---|---|
| author | Ammar Hussein Mutlag Hussain Shareef Azah Mohamed M. A. Hannan Jamal Abd Ali |
| author_facet | Ammar Hussein Mutlag Hussain Shareef Azah Mohamed M. A. Hannan Jamal Abd Ali |
| author_sort | Ammar Hussein Mutlag |
| collection | DOAJ |
| description | This paper presents an adaptive fuzzy logic controller (FLC) design technique for photovoltaic (PV) inverters using differential search algorithm (DSA). This technique avoids the exhaustive traditional trial and error procedure in obtaining membership functions (MFs) used in conventional FLCs. This technique is implemented during the inverter design phase by generating adaptive MFs based on the evaluation results of the objective function formulated by the DSA. In this work, the mean square error (MSE) of the inverter output voltage is used as an objective function. The DSA optimizes the MFs such that the inverter provides the lowest MSE for output voltage and improves the performance of the PV inverter output in terms of amplitude and frequency. The design procedure and accuracy of the optimum FLC are illustrated and investigated using simulations conducted for a 3 kW three-phase inverter in a MATLAB/Simulink environment. Results show that the proposed controller can successfully obtain the desired output when different linear and nonlinear loads are connected to the system. Furthermore, the inverter has reasonably low steady state error and fast response to reference variation. |
| format | Article |
| id | doaj-art-427ae25be7ae4ebebdf094c755e31f67 |
| institution | Kabale University |
| issn | 1110-662X 1687-529X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Photoenergy |
| spelling | doaj-art-427ae25be7ae4ebebdf094c755e31f672025-02-03T01:25:06ZengWileyInternational Journal of Photoenergy1110-662X1687-529X2014-01-01201410.1155/2014/469313469313An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search OptimizationAmmar Hussein Mutlag0Hussain Shareef1Azah Mohamed2M. A. Hannan3Jamal Abd Ali4Department of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, MalaysiaDepartment of Electrical, Electronic and Systems Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, 43600 Bnagi, Selangor, MalaysiaThis paper presents an adaptive fuzzy logic controller (FLC) design technique for photovoltaic (PV) inverters using differential search algorithm (DSA). This technique avoids the exhaustive traditional trial and error procedure in obtaining membership functions (MFs) used in conventional FLCs. This technique is implemented during the inverter design phase by generating adaptive MFs based on the evaluation results of the objective function formulated by the DSA. In this work, the mean square error (MSE) of the inverter output voltage is used as an objective function. The DSA optimizes the MFs such that the inverter provides the lowest MSE for output voltage and improves the performance of the PV inverter output in terms of amplitude and frequency. The design procedure and accuracy of the optimum FLC are illustrated and investigated using simulations conducted for a 3 kW three-phase inverter in a MATLAB/Simulink environment. Results show that the proposed controller can successfully obtain the desired output when different linear and nonlinear loads are connected to the system. Furthermore, the inverter has reasonably low steady state error and fast response to reference variation.http://dx.doi.org/10.1155/2014/469313 |
| spellingShingle | Ammar Hussein Mutlag Hussain Shareef Azah Mohamed M. A. Hannan Jamal Abd Ali An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization International Journal of Photoenergy |
| title | An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization |
| title_full | An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization |
| title_fullStr | An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization |
| title_full_unstemmed | An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization |
| title_short | An Improved Fuzzy Logic Controller Design for PV Inverters Utilizing Differential Search Optimization |
| title_sort | improved fuzzy logic controller design for pv inverters utilizing differential search optimization |
| url | http://dx.doi.org/10.1155/2014/469313 |
| work_keys_str_mv | AT ammarhusseinmutlag animprovedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT hussainshareef animprovedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT azahmohamed animprovedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT mahannan animprovedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT jamalabdali animprovedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT ammarhusseinmutlag improvedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT hussainshareef improvedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT azahmohamed improvedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT mahannan improvedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization AT jamalabdali improvedfuzzylogiccontrollerdesignforpvinvertersutilizingdifferentialsearchoptimization |