Fractional order system identification and controller design using PSO

Author

Gupta, Rajesh ; Gairola, Sanjay ; Diwiedi, Sanjeet

Author_Institution

Dept. of Electr. & Electron. Eng., NIET, Noida, India

fYear

2014

fDate

28-29 Nov. 2014

Firstpage

149

Lastpage

153

Abstract

This paper presents a Particle Swarm Optimization (PSO) based method to identify the fractional order transfer function of an industrial heating furnace system using its experimental data. Also the PSO technique for design of PID controller is proposed for the same system with its frequency and time domain analysis. For tuning of the PID controller in this system, PSO technique has been investigated and the performance is analyzed using MATLAB. A fitness function is proposed which provides the most suitable controller design.

Keywords

control system synthesis; furnaces; industrial control; mathematics computing; particle swarm optimisation; three-term control; transfer functions; Matlab; PID controller; PSO; controller design; fractional order system identification; fractional order transfer function; industrial heating furnace system; particle swarm optimization; Furnaces; Heating; Mathematical model; Particle swarm optimization; Transfer functions; Tuning; Fitness Function; Fractional order plant; Heating Furnace; Particle Swarm Optimization;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/CIPECH.2014.7019053

Filename

7019053