<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control systems. The proposed method is an offline PID parameter tuning method. Moreover it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numerical examples and an experiment</p>
</abstract>

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control systems. The proposed method is an offline PID parameter tuning method. Moreover it is not necessary to derive any mathematical models of objected control systems. The proposed method is demonstrated by comparing with the FRIT method in numerical examples and an experiment

A Method To Design Pid Controllers Using Frit-Pso

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"A Method To Design Pid Controllers Using Frit-Pso"}

This paper proposes the Fictitious Reference Iterative Tuning-Particle Swarm Optimization (FRIT-PSO) method to design PID controllers for feedback control...

A Method To Design Pid Controllers Using Frit-Pso

Publicado en línea: 01 dic 2015

Páginas: 1876 - 1895

Recibido: 14 sept 2015

Aceptado: 10 nov 2015

DOI: https://doi.org/10.21307/ijssis-2017-834

Palabras clave
PID control, feedback control systems, iterative methods, fictitious reference iterative tuning, particle-swarm optimization, DC motors

© 2015 Takehito Azuma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

A Method To Design Pid Controllers Using Frit-Pso

Publicado en línea: 01 dic 2015

Páginas: 1876 - 1895

Recibido: 14 sept 2015

Aceptado: 10 nov 2015

DOI: https://doi.org/10.21307/ijssis-2017-834

Palabras clavePID control, feedback control systems, iterative methods, fictitious reference iterative tuning, particle-swarm optimization, DC motors

© 2015 Takehito Azuma et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
PID control, feedback control systems, iterative methods, fictitious reference iterative tuning, particle-swarm optimization, DC motors