Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor

Chafea Stiti; Kamel Kara; Mohamed Benrabah; Abdelhadi Aouaichia

doi:10.1109/IC2EM59347.2023.10419476

Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor

Chafea Stiti
, Kamel Kara
, Mohamed Benrabah
, Abdelhadi Aouaichia

Interdisciplinary Research Center for Intelligent Manufacturing & Robotics

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

4 Scopus citations

Abstract

A control approach based on neural network identification and particle swarm optimization algorithm is depicted in this work. The proposed control technique, called neural network model predictive control optimized by the particles swarm optimization algorithm, has been tested in simulation, to control the rotation speed of a direct current motor. This control technique proved its effectiveness in terms of accuracy (analysis of the value of the root mean square error, the mean square error, and the absolute mean square error) and overshoot through a comparative study between the simulation results obtained by the proposed controller and a PID controller tuned by the teaching learning based optimization algorithm, using a multi-step and sinusoïdal reference trajectories to represent the desired rotational speed.

Original language	English
Title of host publication	Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798350314243
DOIs	https://doi.org/10.1109/IC2EM59347.2023.10419476
State	Published - 2023
Event	2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023 - Medea, Algeria Duration: 28 Nov 2023 → 29 Nov 2023

Publication series

Name	Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

Conference

Conference	2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023
Country/Territory	Algeria
City	Medea
Period	28/11/23 → 29/11/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

DC motor
neural network
Nonlinear model predictive control
particle swarm optimization algorithm

ASJC Scopus subject areas

Control and Optimization
Instrumentation
Artificial Intelligence
Computer Science Applications
Signal Processing
Energy Engineering and Power Technology
Electrical and Electronic Engineering

Access to Document

10.1109/IC2EM59347.2023.10419476

Cite this

Stiti, C., Kara, K., Benrabah, M., & Aouaichia, A. (2023). Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor. In Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023 (Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IC2EM59347.2023.10419476

Stiti, Chafea ; Kara, Kamel ; Benrabah, Mohamed et al. / Neural Network Model Predictive Control Based on PSO Approach : Applied to DC Motor. Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023).

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title = "Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor",

abstract = "A control approach based on neural network identification and particle swarm optimization algorithm is depicted in this work. The proposed control technique, called neural network model predictive control optimized by the particles swarm optimization algorithm, has been tested in simulation, to control the rotation speed of a direct current motor. This control technique proved its effectiveness in terms of accuracy (analysis of the value of the root mean square error, the mean square error, and the absolute mean square error) and overshoot through a comparative study between the simulation results obtained by the proposed controller and a PID controller tuned by the teaching learning based optimization algorithm, using a multi-step and sinuso{\"i}dal reference trajectories to represent the desired rotational speed.",

keywords = "DC motor, neural network, Nonlinear model predictive control, particle swarm optimization algorithm",

author = "Chafea Stiti and Kamel Kara and Mohamed Benrabah and Abdelhadi Aouaichia",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023 ; Conference date: 28-11-2023 Through 29-11-2023",

year = "2023",

doi = "10.1109/IC2EM59347.2023.10419476",

language = "English",

series = "Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023",

address = "United States",

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Stiti, C, Kara, K, Benrabah, M & Aouaichia, A 2023, Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor. in Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023. Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023, Institute of Electrical and Electronics Engineers Inc., 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023, Medea, Algeria, 28/11/23. https://doi.org/10.1109/IC2EM59347.2023.10419476

Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor. / Stiti, Chafea; Kara, Kamel; Benrabah, Mohamed et al.
Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023).

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

TY - GEN

T1 - Neural Network Model Predictive Control Based on PSO Approach

T2 - 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

AU - Stiti, Chafea

AU - Kara, Kamel

AU - Benrabah, Mohamed

AU - Aouaichia, Abdelhadi

PY - 2023

Y1 - 2023

N2 - A control approach based on neural network identification and particle swarm optimization algorithm is depicted in this work. The proposed control technique, called neural network model predictive control optimized by the particles swarm optimization algorithm, has been tested in simulation, to control the rotation speed of a direct current motor. This control technique proved its effectiveness in terms of accuracy (analysis of the value of the root mean square error, the mean square error, and the absolute mean square error) and overshoot through a comparative study between the simulation results obtained by the proposed controller and a PID controller tuned by the teaching learning based optimization algorithm, using a multi-step and sinusoïdal reference trajectories to represent the desired rotational speed.

AB - A control approach based on neural network identification and particle swarm optimization algorithm is depicted in this work. The proposed control technique, called neural network model predictive control optimized by the particles swarm optimization algorithm, has been tested in simulation, to control the rotation speed of a direct current motor. This control technique proved its effectiveness in terms of accuracy (analysis of the value of the root mean square error, the mean square error, and the absolute mean square error) and overshoot through a comparative study between the simulation results obtained by the proposed controller and a PID controller tuned by the teaching learning based optimization algorithm, using a multi-step and sinusoïdal reference trajectories to represent the desired rotational speed.

KW - DC motor

KW - neural network

KW - Nonlinear model predictive control

KW - particle swarm optimization algorithm

UR - https://www.scopus.com/pages/publications/85186121897

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DO - 10.1109/IC2EM59347.2023.10419476

M3 - Conference contribution

AN - SCOPUS:85186121897

T3 - Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

BT - Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023

PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 28 November 2023 through 29 November 2023

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Stiti C, Kara K, Benrabah M, Aouaichia A. Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor. In Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (Proceedings - 2023 2nd International Conference on Electronics, Energy and Measurement, IC2EM 2023). doi: 10.1109/IC2EM59347.2023.10419476

Neural Network Model Predictive Control Based on PSO Approach: Applied to DC Motor

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this