Lu, J.-J., Huang, H.-H. and Chou, H.-P. (2015) Evaluation of an FPGA-Based Fuzzy Logic Control of Feed-Water for ABWR under Automatic Power Regulating. Progress in Nuclear Energy, 79, 22-31.
http://dx.doi.org/10.1016/j.pnucene.2014.10.010

has been cited by the following article:

• TITLE: Improvement of PV/T Based Reverse Osmosis Desalination Plant Performances Using Fuzzy Logic Controller

  AUTHORS: Mahmoud Ammous, Sana Charfi, Ahmad Harb, Maher Chaabene

  KEYWORDS: PV/T Collector, Reverse Osmosis, Control, Fuzzy Logic Controller

  JOURNAL NAME: International Journal of Modern Nonlinear Theory and Application, Vol.5 No.1, March 2, 2016

  ABSTRACT: Photovoltaic based reverse osmosis desalination systems (PV/RO) present an effective method of water desalination especially in remote areas. The increase of the feed water temperature leads to an amelioration of the plant performances. Photovoltaic Thermal Collector (PV/T) represents an ideal power source as it provides both electric and thermal energies for the reverse osmosis process. Nevertheless, PV/T based RO plants should be controlled in order to solve operation problems related to electrical efficiency, reverse osmosis membrane, produced water and the rejected salts. This paper suggests a fuzzy logic controller for the flow rate of the circulating fluid into the PV/T collectors so as to ameliorate the system performances. The designed controller has improved the PV/T field electrical efficiency and preserved the reverse osmosis membrane which upgrades the system productivity. LABVIEW software is used to simulate the controlled system and validate the effectiveness of the controller.