Improved asynchronous PSO based design of multivariable PID controller

Author

Chaudhary, Neha ; Raj, Ranga ; Kiran, K. ; Nema, Swapnil ; Padhy, P.K.

Author_Institution

Dept. of Electron. & Commun. Eng, PDPM Indian Inst. of Inf. Technol. Design & Manuf., Jabalpur, India

fYear

2013

fDate

16-18 Dec. 2013

Firstpage

1

Lastpage

4

Abstract

In this paper, performance comparison of evolutionary algorithms (EAs) such as modified particle swarm optimization (MPSO) and improved asynchronous particle swarm optimization (IAPSO) is considered. EAs simulations are carried with minimization of IAE and peak overshoot as objective using one type of stopping criteria, namely, maximum number of iterations. Simulations reveal that all the two algorithms considered are suitable for off-line tuning of PID controller. Simulations also reveal that IAPSO is able to get global optimum faster than traditional PSO.

Keywords

control system synthesis; evolutionary computation; iterative methods; minimisation; multivariable control systems; particle swarm optimisation; three-term control; IAE minimization; IAPSO; asynchronous PSO based design; evolutionary algorithms; improved asynchronous particle swarm optimization; iteration method; modified particle swarm optimization; multivariable PID controller; offline tuning; peak overshoot minimization; stopping criteria; Algorithm design and analysis; MIMO; Particle swarm optimization; Process control; Transfer functions; Tuning; Evolutionary algorithm (EA); Improved Asynchronous particle swarm optimization (IAPSO); Multiple input multiple output (MIMO) system; Proportional-integral-derivative (PID) controller;

fLanguage

English

Publisher

ieee

Conference_Titel

Control, Automation, Robotics and Embedded Systems (CARE), 2013 International Conference on

Conference_Location

Jabalpur

Type

conf

DOI

10.1109/CARE.2013.6733710

Filename

6733710