Open AccessGenetic Design of an Interval Type-2 Fuzzy Controller for Velocity Regulation in a DC Motor
Author(s) -
Yazmín Maldonado,
Oscar Castillo
Publication year - 2012
Publication title -
international journal of advanced robotic systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.394
H-Index - 46
eISSN - 1729-8814
pISSN - 1729-8806
DOI - 10.5772/51188
Subject(s) - field programmable gate array , vhdl , computer science , dc motor , pid controller , controller (irrigation) , fuzzy logic , matlab , control theory (sociology) , hardware description language , genetic algorithm , generator (circuit theory) , embedded system , control engineering , control (management) , electrical engineering , artificial intelligence , engineering , physics , programming language , machine learning , temperature control , agronomy , power (physics) , quantum mechanics , biology
This paper proposes the design of a Type-2 Fuzzy Logic Controller (T2-FLC) using Genetic Algorithms (GAs). The T2-FLC was tested with different levels of uncertainty to regulate velocity in a Direct Current (DC) motor. The T2-FLC was synthesized in Very High Description Language (VHDL) code for a Field-programmable Gate Array (FPGA), using the Xilinx System Generator (XSG) of Xilinx ISE and Matlab-Simulink. Comparisons were made between the Type-1 Fuzzy Logic Controller and the T2-FLC in VHDL code and a Proportional Integral Differential (PID) Controller so as to regulate the velocity of a DC motor and evaluate the difference in performance of the three types of controllers, using the t-student test statistic
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