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Design and FPGA-implementation of an improved adaptive fuzzy logic controller for DC motor speed control

Document Type: Application Design

Size: 2.61MB

Download Count: 28

Published time: 2020.06.26

Introduction

This paper presents an improved adaptive fuzzy logic speed controller for a DC motor, based on field programmable gate array (FPGA) hardware implementation. The developed controller includes an adaptive fuzzy logic control (AFLC) algorithm, which is designed and verified with a nonlinear model of DC motor. Then, it has been synthesised, functionally verified and implemented using Xilinx Integrated Software Environment (ISE) and Spartan-3E FPGA. The performance of this controller has been successfully validated with good tracking results under different operating conditions.

  • XC2S100-5TQG144C

    Manufacturer:Xilinx

  • FPGA Spartan-II Family 100K Gates 2700 Cells 263MHz 0.18um Technology 2.5V 144-Pin TQFP EP
  • Product Categories: Embedded - FPGAs (Field Programmable Gate Array)

    Lifecycle:Active Active

    RoHS:

  • XC2S100-6TQ144C

    Manufacturer:Xilinx

  • FPGA Spartan-II Family 100K Gates 2700 Cells 263MHz 0.18um Technology 2.5V 144-Pin TQFP
  • Product Categories: Embedded - FPGAs (Field Programmable Gate Array)

    Lifecycle:Active Active

    RoHS: No RoHS

  • XC3S100-5TQ144C

    Manufacturer:Xilinx

  • Xilinx QFP
  • Product Categories:

    Lifecycle:Any -

    RoHS: -

  • XC3S100E-4CPG132I

    Manufacturer:Xilinx

  • FPGA Spartan-3E Family 100K Gates 2160 Cells 572MHz 90nm Technology 1.2V 132-Pin CSBGA
  • Product Categories: FPGAs

    Lifecycle:Active Active

    RoHS: -

  • XC3020-70CQ100M

    Manufacturer:Xilinx

  • Field Programmable Gate Array (FPGA)
  • Product Categories:

    Lifecycle:Any -

    RoHS: -

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