Nagado Tsutomu

写真a

Title

Associate Professor

Researcher Number(JSPS Kakenhi)

00237538
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Current Affiliation Organization 【 display / non-display 】

  • Duty   University of the Ryukyus   Faculty of Engineering   School of Engineering_Electrical and Systems Engineering Program   Associate Professor  

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Academic degree 【 display / non-display 】

  • Waseda University -  Doctor of Engineering

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External Career 【 display / non-display 】

  • 1997.05
    　
    　

    University of the Ryukyus, Faculty of Engineering, Department of Electrical and Electronics Engineering, Electronics and Elctronic Materials, Associate Professor  

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Research Interests 【 display / non-display 】

  • 制御工学

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Research Areas 【 display / non-display 】

  • Manufacturing Technology (Mechanical Engineering, Electrical and Electronic Engineering, Chemical Engineering) / Control and system engineering

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Research Theme 【 display / non-display 】

  • Robust Controller Reduction

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Published Papers 【 display / non-display 】

  • Feed-back Controller Reduction Considering the Variation of the Plant in 2DOF Control System

    Nagado Tsutomu

    IEEJ Transactions on Electronics, Information and Systems ( The Institute of Electrical Engineers of Japan )  142 ( 11 ) 1229 - 1234   2022.11 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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    <p>In this paper, a new feed-back controller reduction scheme is proposed. The two-degree-of-freedom(2DOF) control system has a feed-forward controller and a feed-back controller, thereby expanding the range of feasible transfer characteristics. However, this increases the overall order of the controller. It is necessary to reduce the order in the implementation of the controller. In 2DOF control systems, it is known that the transmission characteristics change when the plant changes. A method using the Riccati equation is employed to reduce the order of the feed-back controller preserving the transfer characteristics. A numerical example is illustrated to show the effectiveness of the method.</p>

  • Development of Educational Magnetic Levitation System with a Hall element Displacement Sensor: Construction of Current Sensorless Voltage Driven Control System Using Kalman Filter

    Asato Kentaro, Nagado Tsutomu

    IEEJ Transactions on Industry Applications ( The Institute of Electrical Engineers of Japan )  139 ( 2 ) 136 - 142   2019.02 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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    <p>In this study, we developed a current sensorless voltage driven magnetic levitation system with a Hall element displacement sensor using Kalman filter. The system costs less and has higher portability than the current driven system developed in a previous study, and is utilized effectively for model-based development education. However, the use of the displacement sensor for a voltage driven magnetic levitation system causes two problems, namely compensation for measurement error and correction of Hall element output voltages in the sensor. Therefore, we have proposed compensation and correction methods using Kalman filter. To verify the validity of the proposed methods, a magnetic levitation control experiment with the developed system was conducted.</p>

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  • Development of Magnetic Levitation System for Science and Technology Education: Magnetic Levitation Control by Using a Hall Element Displacement Sensor with Neural Network

    Asato, K., Teruya, K., Nagado, T., Tamaki, S.

    Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi) ( Electrical Engineering in Japan (English translation of Denki Gakkai Ronbunshi) )  200 ( 2 ) 51 - 60   2017.07 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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  • Development of Magnetic Levitation System for Science and Technology Education: Magnetic Levitation Control by Using a Hall Element Displacement Sensor with Neural Network

    Asato Kentaro, Teruya Kohmei, Nagado Tsutomu, Tamaki Shiro

    IEEJ Transactions on Sensors and Micromachines ( The Institute of Electrical Engineers of Japan )  136 ( 10 ) 744 - 752   2016.10 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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    <p>In this study, we developed a magnetic levitation system using a Hall element displacement sensor with neural network for science and technology education. The sensor configured with three Hall elements was devised in order to measure displacement from an electromagnet to a levitated object with a permanent magnet. Use of the Hall element displacement sensor achieves a lower-cost magnetic levitation system. Furthermore, three-layered feedforward neural network was utilized in order to improve the precision of the Hall element displacement sensor. Finally, operation verification of the developed magnetic levitation system was conducted by designing state feedback regulator with observer.</p>

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  • Development of a Hall element displacement sensor with artificial neural network for magnetic levitation control

    Asato, K., Asato, K., Nagado, T., Tamaki, S.

    ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences ( ICIIBMS 2015 - International Conference on Intelligent Informatics and Biomedical Sciences )    408 - 411   2016.03 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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