Hybrid PSO-HIL approach for controller tuning in servo pneumatic systems

Ashraf Saleem; Bashar Taha

doi:10.1109/REM.2014.6920247

Hybrid PSO-HIL approach for controller tuning in servo pneumatic systems

Ashraf Saleem^*, Bashar Taha

^*Corresponding author for this work

Electrical and Computer Engineering

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

1 Citation (Scopus)

Abstract

This paper presents an approach that combinesParticle Swarm Optimization (PSO) and Hardware-in-the-loop (HIL) techniques for servo-control optimization and realization. The proposed approach is employed for controlling servo pneumatic system that exhibit high nonlinear dynamic behavior. In the proposed approach, the system is firstly identified through HIL, then the identified transfer function is used for controller tuning using PSO. After having the controller tuned in the simulation environment, it was applied to the real system through HIL. Simulation as well as experimental results show that the proposed method gives significantly better dynamic performances than using traditional tuning techniques. Furthermore, the proposed method facilitates the realization of effective control system for servo pneumatic systems.

Original language	English
Title of host publication	2014 15th International Workshop on Research and Education in Mechatronics, REM 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479930296
DOIs	https://doi.org/10.1109/REM.2014.6920247
Publication status	Published - Oct 10 2014
Event	2014 15th International Workshop on Research and Education in Mechatronics, REM 2014 - El-Gouna, Egypt Duration: Sep 9 2014 → Sep 11 2014

Other

Other	2014 15th International Workshop on Research and Education in Mechatronics, REM 2014
Country	Egypt
City	El-Gouna
Period	9/9/14 → 9/11/14

Keywords

Hardware-in-the-loop concept
Particle swarm optimization (PSO)
Servo-pneumatic system
Tuning PID parameters

ASJC Scopus subject areas

Electrical and Electronic Engineering
Computer Science Applications
Mechanical Engineering
Education
Artificial Intelligence

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Saleem, A & Taha, B 2014, Hybrid PSO-HIL approach for controller tuning in servo pneumatic systems. in 2014 15th International Workshop on Research and Education in Mechatronics, REM 2014., 6920247, Institute of Electrical and Electronics Engineers Inc., 2014 15th International Workshop on Research and Education in Mechatronics, REM 2014, El-Gouna, Egypt, 9/9/14. https://doi.org/10.1109/REM.2014.6920247

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title = "Hybrid PSO-HIL approach for controller tuning in servo pneumatic systems",

abstract = "This paper presents an approach that combinesParticle Swarm Optimization (PSO) and Hardware-in-the-loop (HIL) techniques for servo-control optimization and realization. The proposed approach is employed for controlling servo pneumatic system that exhibit high nonlinear dynamic behavior. In the proposed approach, the system is firstly identified through HIL, then the identified transfer function is used for controller tuning using PSO. After having the controller tuned in the simulation environment, it was applied to the real system through HIL. Simulation as well as experimental results show that the proposed method gives significantly better dynamic performances than using traditional tuning techniques. Furthermore, the proposed method facilitates the realization of effective control system for servo pneumatic systems.",

keywords = "Hardware-in-the-loop concept, Particle swarm optimization (PSO), Servo-pneumatic system, Tuning PID parameters",

author = "Ashraf Saleem and Bashar Taha",

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doi = "10.1109/REM.2014.6920247",

language = "English",

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note = "2014 15th International Workshop on Research and Education in Mechatronics, REM 2014 ; Conference date: 09-09-2014 Through 11-09-2014",

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AU - Saleem, Ashraf

AU - Taha, Bashar

PY - 2014/10/10

Y1 - 2014/10/10

N2 - This paper presents an approach that combinesParticle Swarm Optimization (PSO) and Hardware-in-the-loop (HIL) techniques for servo-control optimization and realization. The proposed approach is employed for controlling servo pneumatic system that exhibit high nonlinear dynamic behavior. In the proposed approach, the system is firstly identified through HIL, then the identified transfer function is used for controller tuning using PSO. After having the controller tuned in the simulation environment, it was applied to the real system through HIL. Simulation as well as experimental results show that the proposed method gives significantly better dynamic performances than using traditional tuning techniques. Furthermore, the proposed method facilitates the realization of effective control system for servo pneumatic systems.

AB - This paper presents an approach that combinesParticle Swarm Optimization (PSO) and Hardware-in-the-loop (HIL) techniques for servo-control optimization and realization. The proposed approach is employed for controlling servo pneumatic system that exhibit high nonlinear dynamic behavior. In the proposed approach, the system is firstly identified through HIL, then the identified transfer function is used for controller tuning using PSO. After having the controller tuned in the simulation environment, it was applied to the real system through HIL. Simulation as well as experimental results show that the proposed method gives significantly better dynamic performances than using traditional tuning techniques. Furthermore, the proposed method facilitates the realization of effective control system for servo pneumatic systems.

KW - Hardware-in-the-loop concept

KW - Particle swarm optimization (PSO)

KW - Servo-pneumatic system

KW - Tuning PID parameters

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M3 - Conference contribution

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BT - 2014 15th International Workshop on Research and Education in Mechatronics, REM 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 15th International Workshop on Research and Education in Mechatronics, REM 2014

Y2 - 9 September 2014 through 11 September 2014

ER -

Hybrid PSO-HIL approach for controller tuning in servo pneumatic systems

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Keywords

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