Control parameter optimization in the hardware-in-the-loop system using novel search algorithm

Sehoon Oh; Yoichi Hori

doi:10.1109/IECON.2006.348075

Control parameter optimization in the hardware-in-the-loop system using novel search algorithm

Sehoon Oh
, Yoichi Hori

Department of Robotics and Mechatronics Engineering

The University of Tokyo

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

4 Scopus citations

Abstract

This article proposes an improved version of Particle Swarm Optimization (PSO) algorithm where one or two particles are moving with a strategy: golden section search and steepest descent method. We clarify the excellence of the proposed algorithm using some benchmark problems and examine what kind of problems the proposed algorithm is adequate for. This algorithm is developed with the aim to be applied to auto-tuning of NC controllers. As this industrial application, a hardware-in-the-loop system which consists of a NC system with two motors and a computer that optimizes control parameters of the NC controller is constructed. Experimental results with this system verify the effectiveness of the proposed optimization method.

Original language	English
Title of host publication	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Pages	5240-5245
Number of pages	6
DOIs	https://doi.org/10.1109/IECON.2006.348075
State	Published - 2006
Event	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics - Paris, France Duration: 6 Nov 2006 → 10 Nov 2006

Publication series

Name	IECON Proceedings (Industrial Electronics Conference)

Conference

Conference	IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics
Country/Territory	France
City	Paris
Period	6/11/06 → 10/11/06

Keywords

Golden section search
Hardware-in-the-loop
Parameter tuning
Particle swarm optimization
Precision motion control
Steepest descent method

Access to Document

10.1109/IECON.2006.348075

Cite this

@inproceedings{c2a953087cdb4a5e834969c4af372dd8,

title = "Control parameter optimization in the hardware-in-the-loop system using novel search algorithm",

abstract = "This article proposes an improved version of Particle Swarm Optimization (PSO) algorithm where one or two particles are moving with a strategy: golden section search and steepest descent method. We clarify the excellence of the proposed algorithm using some benchmark problems and examine what kind of problems the proposed algorithm is adequate for. This algorithm is developed with the aim to be applied to auto-tuning of NC controllers. As this industrial application, a hardware-in-the-loop system which consists of a NC system with two motors and a computer that optimizes control parameters of the NC controller is constructed. Experimental results with this system verify the effectiveness of the proposed optimization method.",

keywords = "Golden section search, Hardware-in-the-loop, Parameter tuning, Particle swarm optimization, Precision motion control, Steepest descent method",

author = "Sehoon Oh and Yoichi Hori",

year = "2006",

doi = "10.1109/IECON.2006.348075",

language = "English",

isbn = "1424401364",

series = "IECON Proceedings (Industrial Electronics Conference)",

pages = "5240--5245",

booktitle = "IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics",

note = "IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics ; Conference date: 06-11-2006 Through 10-11-2006",

}

Oh, S & Hori, Y 2006, Control parameter optimization in the hardware-in-the-loop system using novel search algorithm. in IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics., 4153634, IECON Proceedings (Industrial Electronics Conference), pp. 5240-5245, IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics, Paris, France, 6/11/06. https://doi.org/10.1109/IECON.2006.348075

Control parameter optimization in the hardware-in-the-loop system using novel search algorithm. / Oh, Sehoon; Hori, Yoichi.
IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics. 2006. p. 5240-5245 4153634 (IECON Proceedings (Industrial Electronics Conference)).

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

TY - GEN

T1 - Control parameter optimization in the hardware-in-the-loop system using novel search algorithm

AU - Oh, Sehoon

AU - Hori, Yoichi

PY - 2006

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N2 - This article proposes an improved version of Particle Swarm Optimization (PSO) algorithm where one or two particles are moving with a strategy: golden section search and steepest descent method. We clarify the excellence of the proposed algorithm using some benchmark problems and examine what kind of problems the proposed algorithm is adequate for. This algorithm is developed with the aim to be applied to auto-tuning of NC controllers. As this industrial application, a hardware-in-the-loop system which consists of a NC system with two motors and a computer that optimizes control parameters of the NC controller is constructed. Experimental results with this system verify the effectiveness of the proposed optimization method.

AB - This article proposes an improved version of Particle Swarm Optimization (PSO) algorithm where one or two particles are moving with a strategy: golden section search and steepest descent method. We clarify the excellence of the proposed algorithm using some benchmark problems and examine what kind of problems the proposed algorithm is adequate for. This algorithm is developed with the aim to be applied to auto-tuning of NC controllers. As this industrial application, a hardware-in-the-loop system which consists of a NC system with two motors and a computer that optimizes control parameters of the NC controller is constructed. Experimental results with this system verify the effectiveness of the proposed optimization method.

KW - Golden section search

KW - Hardware-in-the-loop

KW - Parameter tuning

KW - Particle swarm optimization

KW - Precision motion control

KW - Steepest descent method

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DO - 10.1109/IECON.2006.348075

M3 - Conference contribution

AN - SCOPUS:50249136156

SN - 1424401364

SN - 9781424401369

T3 - IECON Proceedings (Industrial Electronics Conference)

SP - 5240

EP - 5245

BT - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

T2 - IECON 2006 - 32nd Annual Conference on IEEE Industrial Electronics

Y2 - 6 November 2006 through 10 November 2006

ER -

Control parameter optimization in the hardware-in-the-loop system using novel search algorithm

Abstract

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Conference

Keywords

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