PSO based on-line optimization for DC motor speed control

Luis Palma; Fernando Coito; Bruno Ferreira; Paulo Gil

doi:10.1109/CPE.2015.7231090

PSO based on-line optimization for DC motor speed control

Luis Palma, Fernando Coito, Bruno Ferreira, Paulo Gil

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

13 Citations (Scopus)

Abstract

Abstract—In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost) function based on different indexes including the Harris index, and the on-line serialization of the parallel PSO optimization scheme. In order to show the performance, simulation results with a nonlinear neural model of the Feedback setup with the DC motor 63-110 are presented.

Original language	English
Title of host publication	Proceedings of 9th International Conference on Compatibility and Power Electronics
Place of Publication	Caparica, Lisbon
Pages	301-306
ISBN (Electronic)	978-1-4799-6301-0
DOIs	https://doi.org/10.1109/CPE.2015.7231090
Publication status	Published - 1 Jun 2015
Event	9th International Conference on Compatibility and Power Electronics, CPE 2015 - Caparica, Lisbon, Portugal Duration: 24 Jun 2015 → 26 Jun 2015

Conference

Conference	9th International Conference on Compatibility and Power Electronics, CPE 2015
Country/Territory	Portugal
City	Caparica, Lisbon
Period	24/06/15 → 26/06/15

Keywords

Controllers
Electric machine control
Nonlinear feedback
Particle swarm optimization (PSO)
Power electronics
Sliding mode control
Speed control
Three term control systems

Access to Document

10.1109/CPE.2015.7231090Licence: Unspecified

Cite this

@inproceedings{f5910e28ef9c4f009ac0e6308dc40589,

title = "PSO based on-line optimization for DC motor speed control",

abstract = "Abstract—In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost) function based on different indexes including the Harris index, and the on-line serialization of the parallel PSO optimization scheme. In order to show the performance, simulation results with a nonlinear neural model of the Feedback setup with the DC motor 63-110 are presented.",

keywords = "Controllers, Electric machine control, Nonlinear feedback, Particle swarm optimization (PSO), Power electronics, Sliding mode control, Speed control, Three term control systems",

author = "Luis Palma and Fernando Coito and Bruno Ferreira and Paulo Gil",

note = "sem pdf; 9th International Conference on Compatibility and Power Electronics, CPE 2015 ; Conference date: 24-06-2015 Through 26-06-2015",

year = "2015",

month = jun,

day = "1",

doi = "10.1109/CPE.2015.7231090",

language = "English",

pages = "301--306",

booktitle = "Proceedings of 9th International Conference on Compatibility and Power Electronics",

}

Palma, L , Coito, F, Ferreira, B & Gil, P 2015, PSO based on-line optimization for DC motor speed control. in Proceedings of 9th International Conference on Compatibility and Power Electronics., 7231090, Caparica, Lisbon, pp. 301-306, 9th International Conference on Compatibility and Power Electronics, CPE 2015, Caparica, Lisbon, Portugal, 24/06/15. https://doi.org/10.1109/CPE.2015.7231090

TY - GEN

T1 - PSO based on-line optimization for DC motor speed control

AU - Palma, Luis

AU - Coito, Fernando

AU - Ferreira, Bruno

AU - Gil, Paulo

N1 - sem pdf

PY - 2015/6/1

Y1 - 2015/6/1

N2 - Abstract—In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost) function based on different indexes including the Harris index, and the on-line serialization of the parallel PSO optimization scheme. In order to show the performance, simulation results with a nonlinear neural model of the Feedback setup with the DC motor 63-110 are presented.

AB - Abstract—In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost) function based on different indexes including the Harris index, and the on-line serialization of the parallel PSO optimization scheme. In order to show the performance, simulation results with a nonlinear neural model of the Feedback setup with the DC motor 63-110 are presented.

KW - Controllers

KW - Electric machine control

KW - Nonlinear feedback

KW - Particle swarm optimization (PSO)

KW - Power electronics

KW - Sliding mode control

KW - Speed control

KW - Three term control systems

U2 - 10.1109/CPE.2015.7231090

DO - 10.1109/CPE.2015.7231090

M3 - Conference contribution

SP - 301

EP - 306

BT - Proceedings of 9th International Conference on Compatibility and Power Electronics

CY - Caparica, Lisbon

T2 - 9th International Conference on Compatibility and Power Electronics, CPE 2015

Y2 - 24 June 2015 through 26 June 2015

ER -

PSO based on-line optimization for DC motor speed control

Abstract

Conference

Keywords

Access to Document

Fingerprint

Cite this