TY - GEN
T1 - Photovoltaic panel emulator in FPGA technology using ANFIS approach
AU - Gómez-Castañeda, F.
AU - Tornez-Xavier, G. M.
AU - Flores-Nava, L. M.
AU - Arellano-Cárdenas, O.
AU - Moreno-Cadenas, J. A.
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014
Y1 - 2014
N2 - In this manuscript we present the implementation in FPGA of ANFIS system (Adaptive Network-based Fuzzy Inference Systems) for a two-input architecture with three membership functions per input and nine fuzzy rules, used to set up a photovoltaic panel emulator. The starting point is the photovoltaic panel electric analog model simulated with ELDO, a tool of Mentor Graphics Suite, having as inputs irradiation and temperature from a meteorological data base so we can obtain the short-circuit current (ISC) and open circuit voltage (VOC) of the panel. With this information, ANFIS was trained within Matlab environment to approximate the photovoltaic panel response. The training was carried out for both, current and voltage, independently, and once achieved minimum error parameters, they were downloaded into the FPGA implemented architecture in order to assess its performance.
AB - In this manuscript we present the implementation in FPGA of ANFIS system (Adaptive Network-based Fuzzy Inference Systems) for a two-input architecture with three membership functions per input and nine fuzzy rules, used to set up a photovoltaic panel emulator. The starting point is the photovoltaic panel electric analog model simulated with ELDO, a tool of Mentor Graphics Suite, having as inputs irradiation and temperature from a meteorological data base so we can obtain the short-circuit current (ISC) and open circuit voltage (VOC) of the panel. With this information, ANFIS was trained within Matlab environment to approximate the photovoltaic panel response. The training was carried out for both, current and voltage, independently, and once achieved minimum error parameters, they were downloaded into the FPGA implemented architecture in order to assess its performance.
KW - ANFIS
KW - FPGA
KW - Neurofuzzy systems
KW - Photovoltaic panel
KW - VHDL
UR - http://www.scopus.com/inward/record.url?scp=84938770751&partnerID=8YFLogxK
U2 - 10.1109/ICEEE.2014.6978289
DO - 10.1109/ICEEE.2014.6978289
M3 - Contribución a la conferencia
T3 - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
BT - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 11th International Conference on Electrical Engineering, Computing Science and Automatic Control, CCE 2014
Y2 - 29 September 2014 through 3 October 2014
ER -
