Development of Neural Network-based Explicit Force Control with Disturbance Observer-Reference-Cited by-同舟云学术

Development of Neural Network-based Explicit Force Control with Disturbance Observer

Published:2021-03-01 Issue:2 Volume:10 Page:153-164
ISSN:2187-1094
Container-title:IEEJ Journal of Industry Applications
language:en
Short-container-title:IEEJ Journal IA

Author:

Okano Toshiaki¹,Nozaki Takahiro²³,Murakami Toshiyuki²

Affiliation:

1. Graduate School of Science and Technology, Keio University

2. Department of System Design Engineering, Keio University

3. Massachusetts Institute of Technology

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/10/2/10_20004711/_pdf

Reference16 articles.

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2. (2) T. Murakami, F. Yu, and K. Ohnishi: “Torque sensorless control in multidegree-of-freedom manipulator”, IEEE Transactions on Industrial Electronics, Vol. 40, No. 2, pp. 259-265 (1993)

3. (3) Y. Nagatsu and S. Katsura: “High-order disturbance estimation using Kalman filter for precise reaction-torque control”, Advanced Motion Control, 2004. 8th IEEE International Workshop On, pp. 79-84 (2016)

4. (4) S. Sakaiano, T. Sato, and K. Ohnishi: “Force-based disturbance observer for dynamic force control and a position/force hybrid controller”, IEEJ Transactions on Electrical and Electronic Engineering, Vol. 8, No. 5, pp. 505-514 (2013)

5. (5) L. G. Garcia-Valdovinos, V. Parra-Vega, and M. A. Arteaga: “Higher-order sliding mode impedance bilateral teleoperation with robust state estimation under constant unknown time delay”, Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, pp. 1293-1298 (2005)

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