Neuro-fuzzy design of a fuzzy PI controller with real-time implementation on a speed control system

Author

Ghosh, A. ; Sen, Satyaki ; Dey, Chanchal

Author_Institution

Dept. of AEIE, RCCIIT, Kolkata, India

fYear

2014

fDate

27-29 Nov. 2014

Firstpage

645

Lastpage

650

Abstract

Linguistic modelling of complex and nonlinear system constitutes to be the heart of many control and decision-making process. In this area, fuzzy logic is one of the most effective tools to build such linguistic models. Here, initially a fuzzy PI controller is designed with expert defined 49 rules to achieve desirable performance for a speed control system. Thereafter, a neuro-fuzzy controller is developed through back propagation training based on the input-output data set obtained from the previously designed fuzzy controller. Performance of the proposed neuro-fuzzy PI controller is tested through simulation study as well as real time experimentation on a DC servo speed control system. Both the simulation and experimental results substantiate the suitability of the designed neuro-fuzzy controller for closely approximating the behaviour of nonlinear fuzzy controller.

Keywords

PI control; angular velocity control; control system synthesis; fuzzy control; nonlinear control systems; servomechanisms; DC servo speed control system; backpropagation training; fuzzy PI controller; fuzzy logic; linguistic modelling; neuro-fuzzy design; nonlinear system; proportional-integral controller; Fuzzy logic; Neural networks; Niobium; Process control; Training; Training data; Velocity control; fuzzy controller; neural network; neuro-fuzzy controller; servo speed control system;

fLanguage

English

Publisher

ieee

Conference_Titel

Contemporary Computing and Informatics (IC3I), 2014 International Conference on

Conference_Location

Mysore

Type

conf

DOI

10.1109/IC3I.2014.7019689

Filename

7019689