Real time fuzzy logic speed control using conventional, assembly and simulation methods for industrial DC motors

Author

Govind, Navin ; Hasan, Abul R.

Author_Institution

Intel Corp., Chandler, AZ, USA

fYear

1995

fDate

5-7Jan 1995

Firstpage

203

Lastpage

208

Abstract

This paper describes three unique methods of efficient DC motor speed control: a simplified real time speed control approach using `C´; an Intel 16-bit microcontroller based fuzzy controller using assembly language; and using Inform fuzzy tools which allows fuzzy system design with graphical development tools including simulation and code optimization. The fuzzy controller controls the speed of the DC motor by maintaining it at a constant level after an external load is applied and removed. Binary input output fuzzy associative memory (BIOFAM) is used for control. Fuzzy associative memories (FAM) are transformations which map fuzzy sets to fuzzy sets. Inputs are error and the rate of change of speed. Fuzzy logic speed control in the field of power electronics and stability of fuzzy controllers are discussed

Keywords

DC motors; digital simulation; fuzzy control; fuzzy systems; machine control; velocity control; Inform fuzzy tools; Intel 16-bit microcontroller based fuzzy controller; assembly language; binary input output fuzzy associative memory; code optimization; fuzzy controllers; fuzzy sets; fuzzy system design; graphical development tools; industrial DC motors; power electronics; real time fuzzy logic speed control; simulation; stability; Assembly; Associative memory; DC motors; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Microcontrollers; Real time systems; Velocity control;

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Automation and Control, 1995 (I A & C'95), IEEE/IAS International Conference on (Cat. No.95TH8005)

Conference_Location

Hyderabad

Print_ISBN

0-7803-2081-6

Type

conf

DOI

10.1109/IACC.1995.465842

Filename

465842