The Parameterization of All Disturbance Observers for Periodic Input Disturbances

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Published: Jun 27, 2023
DOI: https://doi.org/10.37936/ecti-eec.2023212.249809
Keywords:
Estimation Disturbances Disturbance observer Periodic input disturbance Parameterization

Main Article Content

Sorawin Phukapak
Mechanical Science and Technology at Gunma University, Japan
Daisuke Koyama
Mechanical Science and Technology at Gunma University, Japan
Kotaro Hashikura
Mechanical Science and Technology at Gunma University, Japan
Abdus Samad
Mechanical Science and Technology at Gunma University, Japan
Iwanori Murakami
Mechanical Science and Technology at Gunma University, Japan
Kou Yamada
Mechanical Science and Technology at Gunma University, Japan

Abstract




In this paper, we examine the parameterizations of all disturbance observers and all linear functional disturbance observers for periodic input disturbances. The plant disturbance observers have been used to estimate the disturbance in the plant. Several papers on design methods for disturbance observers have been published. Recently, the parameterization of all dis- turbance observers and all linear functional disturbance observers for plants with any input disturbance was clarified. However, no paper examines the parameteriza- tion of all disturbance observers or all linear functional disturbances for periodic input disturbances. In this paper, we propose parameterizations of all disturbance observers and all linear functional disturbance observers for periodic input disturbances.




Article Details

How to Cite
Phukapak, S., Koyama, D., Hashikura, K., Kama, M., Murakami, I., & Yamada, K. (2023). The Parameterization of All Disturbance Observers for Periodic Input Disturbances. ECTI Transactions on Electrical Engineering, Electronics, and Communications, 21(2), 249809. https://doi.org/10.37936/ecti-eec.2023212.249809
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Vol. 21 No. 2 (2023): Regular Issue (June 2023)
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Author Biographies

Sorawin Phukapak, Mechanical Science and Technology at Gunma University, Japan

Sorawin Phukapak received the B.E. de- gree in mechanical engineering from Burapha University, Thailand, 2009; the M.E. degree in mechanical engineering from Khon Kaen University, Thailand, 2012. He is currently a doctoral candidate in Mechanical Science and Technology at Gunma University, Japan. His research interests include disturbance observers for periodic disturbances.

Daisuke Koyama, Mechanical Science and Technology at Gunma University, Japan

Daisuke Koyama received the B.S. degree in science from Gunma University, Japan, 2017; the M.S. degree in science and technology from Gunma University, Japan, 2020. He is currently a doctoral candidate in Mechanical Science and Technology at Gunma University, Japan. His research interests include robust
control system design.

Kotaro Hashikura, Mechanical Science and Technology at Gunma University, Japan

Kotaro Hashikura received the B.S. degree in Mechanical Engineering from Kyushu Institute of Technology, Fukuoka, Japan, 2006; the M.S. degree of Informatics from Kyoto University, Kyoto, Japan; 2010, and the Doctor Degree in Engineering from Tokyo Metropolitan University, Tokyo, Japan, 2014.
From 2014 until 2018, he had been a Project Research Associate at the Faculty of System Design, Tokyo Metropolitan University. He is currently a full-time professor at Division of Mechanical Science and Technology, Gunma University, Japan. His research interests include time-delay-related control techniques, such as deadbeat, preview-prediction and repetitive controls. He is a member of IEEE, ISCIE and SICE.

Abdus Samad, Mechanical Science and Technology at Gunma University, Japan

Md Abdus Samad Kamal received the B.Sc. degree in Electrical and Electronic Engineering from Khulna University of Engineering and Technology (KUET), Khulna, Bangladesh in 1997; Master and Doctor degrees from Kyushu University from Graduate School of Information Science and Electrical Engineering, Japan in 2003 and 2006, respectively. He was a post-doctoral fellow in Kyushu University till November 2006. He is currently a full-time professor at Division of Mechanical Science and Technology, Gunma University, Japan. His current research interests are reinforcement learning, intelligent transportation
systems, and multiagent systems. He is a member of IEEE and SICE.

Iwanori Murakami, Mechanical Science and Technology at Gunma University, Japan

Iwanori Murakami received the B.E., M.E. and Dr. Eng. degrees from Gunma University, Kiryu City, Japan, in 1992, 1994 and 1997, respectively. He is currently a full-time professor at Division of Mechanical Science and Technology, Gunma University, Japan. His research interests include control problems in the mechanical fields and robotics.

Kou Yamada, Mechanical Science and Technology at Gunma University, Japan

Kou Yamada received B.S. and M.S. degrees in Electrical and Information Engineering from Yamagata University, Yamagata, Japan, 1987 and 1989, respectively; and the Dr. Eng. Degree from Osaka University, Osaka, Japan in 1997. He is currently a full-time professor at Division of Mechanical Science and Technology, Gunma University, Japan. His research interests include robust control, repetitive control, process control and control theory for inverse systems and infinitedimensional systems. Dr. Yamada received the 2005 Yokoyama Award in Science and Technology, the 2005 Electrical Engineering/Electronics, Computer, Telecommunication, and Information Technology International Conference (ECTI-CON2005) Best Paper Award, the Japanese Ergonomics Society Encouragement Award for Academic Paper in 2007, the 2008 Electrical Engineering/Electronics, Computer, Telecommunication, and Information Technology International Conference (ECTICON2008) Best Paper Award and Fourth International Conference on Innovative Computing, Information and Control Best Paper Award in 2009, the 14th International Conference on Innovative Computing, Information and Control Best Paper Award in 2019, and Outstanding Achievement Award from Kanto Branch of Japanese Society for
Engineering Education in 2022.

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