GA-Based Practical Auto-Tuning Technique for Industrial Robot Controller with System Identification-Reference-Cited by-同舟云学术

GA-Based Practical Auto-Tuning Technique for Industrial Robot Controller with System Identification

Published:2012 Issue:1 Volume:1 Page:62-69
ISSN:2187-1094
Container-title:IEEJ Journal of Industry Applications
language:en
Short-container-title:IEEJ Journal IA

Author:

Kim Eui-Jin¹²,Seki Kenta¹,Iwasaki Makoto¹,Lee Sang-Hun²

Affiliation:

1. Department of Computer Science and Engineering, Nagoya Institute of Technology

2. Intelligent Machines Research Department, Electro-Mechanical Research Institute, Hyundai Heavy Industries Co., Ltd.

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Mechanical Engineering,Energy Engineering and Power Technology,Automotive Engineering

Link

https://www.jstage.jst.go.jp/article/ieejjia/1/1/1_62/_pdf

Reference16 articles.

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2. (2) M. Iwasaki, M. Miwa, and N. Matsui: “GA-Based Evolutionary Identification Algorithm for Unknown Structured Mechatronics Systems”, IEEE Trans. Industrial Electronics, Vol. 52, No. 1, pp. 300-305 (2005)

3. (3) T. Iwasaki and A. Morita: “Fuzzy auto-tuning for PID controller with model classification”, Proceedings of NAFIPS'90. Toronto. Canada, pp. 90-93 (1990)

4. (4) W. D. Chang, R. C. Hwang, and J. G. Hsieh: “Application of an auto-tuning neuron to sliding mode control”, IEEE Trans. Systems, Man, Cybernetics, Vol. 32, No. 6, pp. 517-522 (2002)

5. (5) M. Nakashima, Y. Maruyama, N. Umeda, N. Kyura, and T. Hasegawa: “Basic Experiments on Robot-Base Vibration Control of the Hot-Line Work Robot System using Genetic Algorithm”, T. IEE Japan, Vol. 117-D, No. 7, pp. 798-807 (1997-7) (in Japanese)

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