Control algorithm that realizes improved production efficiency

Research Themes

  • Implemented a new control algorithm as the core of a database. Aim for improved manufacturing efficiency at the production site.

Research Contents

Objective and Aim

Implementing a new control algorithm that suits a hyper information society achieved the following results.

(1)Less time to start up machinery

(2)Reduced raw material disposal rate

(3)(3) Production system structure that doesn’t require people

 

Promising markets, products and industry sectors

  • ●General manufacturing (Especially food products and automotive manufacturing)
  • ●Agriculture and livestock
  • ●Construction

 

Summary

  • ●As sensor technology evolves today, huge amounts of data can be instantly collected, including climate information such as temperature and humidity, operation information about currents and voltage of operating machinery, and raw material input and yield.
  • ●This research will develop skilled techniques for the possible control of large data collections suitable for a hyper-information society.
  • ●New control methods use the database as a foundation, but don’t only collect data from the device. The history of control parameter changes made by skilled workers are stored, making it possible to reproduce skills.
  • ●After implementation, once the computer studies it, it will be possible to achieve control beyond previous skill levels.

 

Strengths of this Research

  • ●This control method is equipped with a learning function, so the more the machine is used, the smarter it will get
  • ●Can easily be attached to existing systems being used by each company.

 

Patent (2 cases acquired rights, 6 applications)

  • ●Yamamoto, Kinoshita: Data-oriented feedback controller and data-oriented feedback control method, patent application 2016-164631, application date: August 30, 2016, unexamined application 2018-036773, release date: March 1, 2018, applicant: National University Corporation Hiroshima University
  • ●Yamamoto T and Kinoshita T, Data-Oriented Feedback Controller and Data-Oriented Feedback Control Method, US15/690261, Registration date: March 3, 2020, registration number: 10,575,769, application date: August 29, 2017, US-2018-0055403, release date: March 1, 2018, applicant: National University Corporation Hiroshima University (above applications made in US)

Research Paper

  • ●Takuya Kinoshita, Toru Yamamoto, “Design of a Data-Oriented Cascade Control System”, Journal of the Institute of Electrical Engineers of Japan (IEEJ), Electronic, Information, System Division, Vol. 136, No. 5: 703-709,2016
  • ●Kinoshita T and Yamamoto T: Design of a Data-Oriented Kansei Feedback Control System, Journal of Robotics, Networking and Artificial Life, Vol. 4, No. 1: 14-17, 2017.
  • ●Yuu Yamauchi, Takuya Kinoshita, Shin Wakitani, Toru Yamamoto, Minoru Miyakoshi, Shingo Harada, Yasuhide Yano, “Design of a Vehicle Driver Model based on Database Driven Control Approach”, Journal of the Institute of Electrical Engineers of Japan (IEEJ), Electronic, Information, System Division, Vol. 138, No. 7: 910-911, 2018
  • ●Hiromu Imaji, Takuya Kinoshita, Toru Yamamoto, Keisuke Ito, Masahiro Yoshida, Tadashi Nakagawa, “Database-Driven Modeling based on Variable Selection using Random Forest and its Application for Linear Air Fuel Ratio Sensor Output Prediction”, Journal of the Institute of Electrical Engineers of Japan (IEEJ), Electronic, Information, System Division, Vol. 139, No. 8: 850-857,2019
  • ●Takuya Kinoshita, Toru Yamamoto, “Design of a Database-Driven Control System based on the similarity”, Journal of the Institute of Electrical Engineers of Japan (IEEJ), Electronic, Information, System Division, Vol. 140, No. 3: 1-8, 2020
  • ●Kinoshita T, Ikeda H, Yamamoto T, Machizawa M, Tanaka K, and Yamazaki Y: Design of a Database-Driven Kansei Feedback Control System using a Hydraulic Excavators Simulator, Journal of Robotics and Mechatronics, Vol. 32, No. 3, 2020. to appear.

 

Acquisition of External Funds

  • ●Japan Society for the Promotion of Science, Grant-in-Aid for JSPS Fellows (PD): Design of a performance-driven control system that takes into consideration the perceptions of those who improve their spiritual value (Issue number 17J03657) 1.3 million yen
    Principal Researcher, Fiscal 2018 and 2019
  • ●Japan Society for the Promotion of Science, Grant-in-Aid for Young Scientists (Start-up): Construction of a database-driven perception feedback control system that that controls perceptions (issue number 18H05907) 2.3 million yen
    Principal Researcher, Fiscal 2018 and 2019
  • ●Other: Research co-investigator, 6 projects (joint research fee)

 

Awards Status

  • ●IEEJ (Institute of Electrical Engineers of Japan),Outstanding Student Presentation Award, Aug. 27, 2015.
  • ●he Institute of Electrical Engineers of Japan (IEEJ), Electronic, Information, System Division Technical Committee Incentive Award, March 4, 2016
  • ●The 2017 International Conference on Artificial Life and Robotics (ICAROB 2017), Young Author Award, Jan. 21, 2017
  • ●The Institute of Electrical Engineers of Japan (IEEJ), Distinguished Paper Award, September 7, 2017
  • ●The Institute of the Systems, Controls, and Information Engineers, Incentive Award, May 17, 2018
  • ●The Institute of Electrical Engineers of Japan (IEEJ), Committee Incentive Award, September 6, 2018

 

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CONTACT

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TAKUYA KINOSHITA

Hiroshima University
Assistant professor, Graduate School of Advanced Science and Engineering

March 2015 Completed the master’s course in the Department of System Cybernetics at Hiroshima University Graduate School of Engineering
March 2017 Completed the doctoral course in the Department of System Cybernetics at Hiroshima University Graduate School of Engineering, and received his PhD in engineering
April 2017 Special researcher (PD) at Japan Society for the Promotion of Science
April 2018 Assistant professor at Hiroshima University Graduate School of Engineering (Currently: Graduate School of Advanced Science and Engineering)