Title :
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
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;
Conference_Titel :
Computational Intelligence on Power, Energy and Controls with their impact on Humanity (CIPECH), 2014 Innovative Applications of
Conference_Location :
Ghaziabad
DOI :
10.1109/CIPECH.2014.7019053
