Control of PMDC motor using fuzzy PI controller

Author

Ananthababu, P. ; Reddy, B. Amarendra

Author_Institution

Dept. of Electr. & Electron. Eng., Raghu Inst. of Technol., Visakhapatnam, India

fYear

2009

fDate

4-6 June 2009

Firstpage

1

Lastpage

4

Abstract

This paper presents the comparison of tracking performance of fuzzy PI controller with conventional controller to control PMDC motor which employs only two fuzzy sets on the universe of discourse of each input variable and three fuzzy sets on the universe of discourse of output variable. Analytical structure of the simplest fuzzy PI controller is derived via triangular membership functions for fuzzification, Zadeh OR, Mamdani´s minimum inference method, and centroid method for defuzzification. The effectiveness of fuzzy PI controller over the conventional controller is shown in simulation results for permanent magnet DC motor with saturation nonlinearity by choosing gbell, trapezoidal, pi, Gaussian, triangular input fuzzy sets.

Keywords

DC motors; PI control; control nonlinearities; fuzzy control; fuzzy set theory; machine control; permanent magnet motors; tracking; Mamdani minimum inference method; PMDC motor control; Zadeh OR; analytical structure; centroid method; defuzzification; fuzzification; fuzzy PI controller; fuzzy set; permanent magnet DC motor; saturation nonlinearity; tracking performance; triangular membership function; Automatic control; Communication system control; Control systems; DC motors; Fuzzy control; Fuzzy sets; Fuzzy systems; Magnetic analysis; Magnetic variables control; Nonlinear control systems; Analytical structure; Fuzzy control; PID control; Permanent Magnet DC Motor;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Communication and Energy Conservation, 2009. INCACEC 2009. 2009 International Conference on

Conference_Location

Perundurai, Tamilnadu

Print_ISBN

978-1-4244-4789-3

Type

conf

Filename

5204482