Document Type: Application Design
Size: 2.61MB
Download Count: 28
Published time: 2020.06.26
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.
Manufacturer:Xilinx
Product Categories: Embedded - FPGAs (Field Programmable Gate Array)
Lifecycle:Active Active
RoHS:
Manufacturer:Xilinx
Product Categories: Embedded - FPGAs (Field Programmable Gate Array)
Lifecycle:Active Active
RoHS: No RoHS
Manufacturer:Xilinx
Product Categories:
Lifecycle:Any -
RoHS: -
Manufacturer:Xilinx
Product Categories: FPGAs
Lifecycle:Active Active
RoHS: -
Manufacturer:Xilinx
Product Categories:
Lifecycle:Any -
RoHS: -
Support