%0 Journal Article %1 hamed2013optimized %A Hamed, Basil %A Elreesh, Hosam Abu %D 2013 %E Das, Dr. Vinu V %J ACEEE International Journal of Electrical and Power Engineering %K FPGA Fuzzy_Control PI VHDL %N 2 %P 8 %T FPGA Optimized Fuzzy Controller Design for Magnetic Ball Levitation using Genetic Algorithms %U http://searchdl.org/public/journals/2013/IJEPE/4/2/1384.pdf %V 4 %X This paper presents an optimum approach for designing of fuzzy controller for nonlinear system using FPGA technology with Genetic Algorithms (GA) optimization tool. A magnetic levitation system is considered as a case study and the fuzzy controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object. Fuzzy controller will be implemented using FPGA chip. Genetic Algorithm (GA) is used in this paper as optimization method that optimizes the membership, output gain and inputs gains of the fuzzy controllers. The design will use a highlevel programming language HDL for implementing the fuzzy logic controller using the Xfuzzy tools to implement the fuzzy logic controller into HDL code. This paper, advocates a novel approach to implement the fuzzy logic controller for magnetic ball levitation system by using FPGA with GA.

@article{hamed2013optimized, abstract = {This paper presents an optimum approach for designing of fuzzy controller for nonlinear system using FPGA technology with Genetic Algorithms (GA) optimization tool. A magnetic levitation system is considered as a case study and the fuzzy controller is designed to keep a magnetic object suspended in the air counteracting the weight of the object. Fuzzy controller will be implemented using FPGA chip. Genetic Algorithm (GA) is used in this paper as optimization method that optimizes the membership, output gain and inputs gains of the fuzzy controllers. The design will use a highlevel programming language HDL for implementing the fuzzy logic controller using the Xfuzzy tools to implement the fuzzy logic controller into HDL code. This paper, advocates a novel approach to implement the fuzzy logic controller for magnetic ball levitation system by using FPGA with GA.}, added-at = {2014-01-18T10:12:01.000+0100}, author = {Hamed, Basil and Elreesh, Hosam Abu}, biburl = {https://www.bibsonomy.org/bibtex/2672e3510f6cb25cfc52fb1eee66bb059/ideseditor}, editor = {Das, Dr. Vinu V}, interhash = {7acce099507da4731b299dc72d13f065}, intrahash = {672e3510f6cb25cfc52fb1eee66bb059}, journal = {ACEEE International Journal of Electrical and Power Engineering}, keywords = {FPGA Fuzzy_Control PI VHDL}, month = {August}, number = 2, pages = 8, timestamp = {2014-01-18T10:12:01.000+0100}, title = {FPGA Optimized Fuzzy Controller Design for Magnetic Ball Levitation using Genetic Algorithms}, url = {http://searchdl.org/public/journals/2013/IJEPE/4/2/1384.pdf}, volume = 4, year = 2013 }