Implementation of the RBF neural network on a SOPC for Maximum Power Point Tracking

Canadian Conference on Electrical and Computer Engineering

Volumn , Issue , 2008, Pages 981-985

  Cao, Bo ^a   Chang, Liuchen ^a   Li, Howard ^a  

^a UNIVERSITY OF NEW BRUNSWICK   (Canada)

Author keywords

FPGA; MPPT; Neural network; RBF; SOPC

Indexed keywords

CONTROL SYSTEMS; ELECTRIC INVERTERS; FEEDFORWARD NEURAL NETWORKS; FIELD PROGRAMMABLE GATE ARRAYS (FPGA); IMAGE CLASSIFICATION; MODULATION; OPTICAL FLOWS; PHOTOVOLTAIC EFFECTS; PROPORTIONAL CONTROL SYSTEMS; PULSE WIDTH MODULATION; PUMPS; RADIAL BASIS FUNCTION NETWORKS; TECHNOLOGY;

CON TROL ALGORITHMS; ELECTRICAL AND COMPUTER ENGINEERING; FIELD PROGRAMMABLE GATE ARRAY; FPGA; HIGHLY INTEGRATED; MAXIMUM POWER; MAXIMUM POWER POINT TRACKING; MPPT; NEURAL NETWORK; PHOTOVOLTAIC (PV); PROPORTIONAL-INTEGRAL-DERIVATIVE CONTROLLERS; PV SYSTEMS; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF; RBF NEURAL NETWORK; SOFT PROCESSORS; SOPC; SYSTEM-ON-A-PROGRAMMABLE-CHIP; TRACKING ALGORITHMS;

NEURAL NETWORKS;

EID: 51849110048     PISSN: 08407789     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCECE.2008.4564682     Document Type: Conference Paper

References (8)

1. Theodore Amissah OCRAN, CAO Junyi, CAO Binggang and SUN Xinghua, Artificial Neural Network Maximum Power Point Tracker for Solar Electric Vehicle, TSINGHUA SCIENCE AND TECHNOLOGY, pp. 204 - 208, April 2005.
2. Koutroulis E, Kalaitzakis K, Voulgaris N C, Development of a microcontroller-based photovoltaic maximum power point tracking control system, IEEE Trans. Power Electron, Volume 16, pp. 46-54, Jan 2001.
3. Kuo Y C, Liang T J, Chen J F, Novel maximum power point tracking controller for photovoltaic energy conversion system, IEEE Trans. Ind. Electron., Volume 48, pp. 594-601, June 2001.
4. Tse K K, Ho M T, Chung H S, Hui S Y, A novel maximum power point tracker for PV panels using switching frequency modulation. IEEE Trans. Power Electron, volume 17, pp. 980-989, Nov. 2002.
5. Aberbour. M. and Mehrez. H., Maximum Architecture and design methodology of the RBF-DDA neural network, Circuits and Systems, Volume 3, pp. 199 - 202, 31 May-3 June 1998.
6. Samangkool, K. and Premrudeepreechacharn, S., Maximum Power Point Tracking Using Neural Networks for Grid-Connected Photovoltaic System, Future Power System, pp. 1-4, Nov. 2005.
7. Oliver, T.F., Mohammed, S., Krishna, N.M., Maskell, D.L., Accelerating an embedded RTOS in a SoPC platform, 2004 IEEE Region 10 Conference, Volume D, pp. 415-419, 21-24 Nov. 2004.
8. Wang Yongxiang, Wang Lide, Liu Wenqing, Design and implementation of MVB Controller using SOPC Technology, Industrial Electronics and Applications, 2007, ICIEA 2007, pp. 2666-2669, 23-25 May 2007.