Genetic Design of an Interval Type-2 Fuzzy Controller for Velocity Regulation in a DC Motor

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.