Design of a Type-2 Fuzzy Controller and Its Comparison with Type-1 Fuzzy and PID Controllers for Velocity Regulation in a Motor

Chapter
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 272)

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.

Keywords

Genetic Algorithm Membership Function Linguistic Term Direct Current Motor Trapezoidal Membership Function 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  1. 1.Computer ScienceTijuana Institute of TechnologyChula VistaUSA

Personalised recommendations