<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

Online veröffentlicht: 01. Dez. 2015

Seitenbereich: 1876 - 1895

Eingereicht: 14. Sept. 2015

Akzeptiert: 10. Nov. 2015

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

Schlüsselwörter
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

Online veröffentlicht: 01. Dez. 2015

Seitenbereich: 1876 - 1895

Eingereicht: 14. Sept. 2015

Akzeptiert: 10. Nov. 2015

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

SchlüsselwörterPID 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.

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