Abstract
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 [70]. 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.
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© 2012 Springer-Verlag Berlin Heidelberg
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Castillo, O. (2012). Design of a Type-2 Fuzzy Controller and Its Comparison with Type-1 Fuzzy and PID Controllers for Velocity Regulation in a Motor. In: Type-2 Fuzzy Logic in Intelligent Control Applications. Studies in Fuzziness and Soft Computing, vol 272. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24663-0_5
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DOI: https://doi.org/10.1007/978-3-642-24663-0_5
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Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24662-3
Online ISBN: 978-3-642-24663-0
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