Design of a Type-2 Fuzzy Controller and Its Comparison with Type-1 Fuzzy and PID Controllers for Velocity Regulation in a Motor
This chapter proposes the design of a Type-2 Fuzzy Logic Controller (FLC-T2) using Genetic Algorithms (GA). The FLC-T2 was tested with different levels of uncertainty to regulate velocity in a Direct current (DC) motor . The FLC-T2 was synthesized in Very High Description Language (VHDL) code for Field Programmable Gate Array (FPGA), using Xilinx System Generator (XSG) of Xilinx ISE and Matlab-Simulink. Comparisons were made between the FLC-T1 versus FLC-T2 in VHDL code and Proportional Integral Differential (PID) Controller, to regulate the velocity of a DC motor, to evaluate the difference in performance of the three types of controllers, using the test t-student statistic.
KeywordsGenetic Algorithm Membership Function Linguistic Term Direct Current Motor Trapezoidal Membership Function
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