Teaching particle swarm optimization through an open-loop system identification project

2011 ◽  
Vol 22 (2) ◽  
pp. 227-237 ◽  
Author(s):  
Paulo Moura Oliveira ◽  
Damir Vrančić ◽  
J. Boaventura Cunha ◽  
E. J. Solteiro Pires
Keyword(s):  
Particle Swarm Optimization ◽  
System Identification ◽  
Particle Swarm ◽  
Open Loop ◽  
Loop System ◽  
Open Loop System ◽  
Swarm Optimization

scholarly journals Proportional-Integral Controllers Performance of a Grid-Connected Solar PV System with Particle Swarm Optimization and Ziegler–Nichols Tuning Method

Energies ◽  
2021 ◽  
Vol 14 (9) ◽  
pp. 2516
Author(s):  
Klemen Deželak ◽  
Peter Bracinik ◽  
Klemen Sredenšek ◽  
Sebastijan Seme
Keyword(s):  
Particle Swarm Optimization ◽  
Distribution Network ◽  
Particle Swarm ◽  
Open Loop ◽  
Limited Area ◽  
Solar Pv ◽  
Pv System ◽  
Swarm Optimization ◽  
Proportional Integral ◽  
Tuning Method

This paper deals with photovoltaic (PV) power plant modeling and its integration into the medium-voltage distribution network. Apart from solar cells, a simulation model includes a boost converter, voltage-oriented controller and LCL filter. The main emphasis is given to the comparison of two optimization methods—particle swarm optimization (PSO) and the Ziegler–Nichols (ZN) tuning method, approaches that are used for the parameters of Proportional-Integral (PI) controllers determination. A PI controller is commonly used because of its performance, but it is limited in its effectiveness if there is a change in the parameters of the system. In our case, the aforementioned change is caused by switching the feeders of the distribution network from an open-loop to a closed-loop arrangement. The simulation results have claimed the superiority of the PSO algorithm, while the classical ZN tuning method is acceptable in a limited area of operation.

Adaptive Web QoS controller based on online system identification using quantum-behaved particle swarm optimization

2014 ◽  
Vol 19 (6) ◽  
pp. 1715-1725 ◽  
Author(s):  
Wei Fang ◽  
Jun Sun ◽  
Xiaojun Wu ◽  
Vasile Palade
Keyword(s):  
Particle Swarm Optimization ◽  
System Identification ◽  
Particle Swarm ◽  
Swarm Optimization ◽  
Online System ◽  
Online System Identification

System Identification With Particle Swarm Optimization Method for Nonlinear Dynamic Systems

2020 ◽  
Author(s):  
Manuel A. Fernández ◽  
Jen-Yuan (James) Chang
Keyword(s):  
Particle Swarm Optimization ◽  
System Identification ◽  
Dynamic Systems ◽  
Particle Swarm ◽  
Sequential Estimation ◽  
Optimization Method ◽  
Total Least Squares ◽  
Swarm Optimization ◽  
Identification Techniques ◽  
Motor Model

Abstract This paper presents a comparison between different system identification techniques, namely Least Squared Estimation, Total Least Squares, Linear Sequential Estimation, the Gauss-Newton method, and Particle Swarm Optimization. A DC motor model was simulated in Simulink, with arbitrarily selected parameters, and the input and output values were used to test the effectiveness of these system identification techniques.

Particle swarm optimization with quantum infusion for system identification

2010 ◽  
Vol 23 (5) ◽  
pp. 635-649 ◽  
Author(s):  
Bipul Luitel ◽  
Ganesh K. Venayagamoorthy
Keyword(s):  
Particle Swarm Optimization ◽  
System Identification ◽  
Particle Swarm ◽  
Swarm Optimization

Open loop system identification for a quadrotor helicopter system

2013 ◽  
Author(s):  
R. J. A. Schreurs ◽  
S. Weiland ◽  
H. Tao ◽  
Q. Zhang ◽  
J. Zhu ◽  
...  
Keyword(s):  
System Identification ◽  
Open Loop ◽  
Loop System ◽  
Open Loop System ◽  
Quadrotor Helicopter
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