Ryozo Nagamune

Ryozo Nagamune

Professor

B.Sc. (Osaka University), M.Sc. (Osaka University), Ph.D. (Royal Institute of Technology Stockholm, Sweden)

phone: (604) 827-4344
email: nagamune@mech.ubc.ca
website:  Control Engineering Laboratory
office: KAIS 3104

Research Interests

Control Engineering:

  • Control of floating offshore wind turbines and wind farms
  • Control of integrated solar thermal systems
  • Control of directed energy deposition metal additive manufacturing processes
  • Control of engine aftertreatment systems
  • Data-driven modeling and control of dynamical systems

Current Research Work

    • Control of floating offshore wind turbines and wind farms: The research objective is to develop control methods to maximize the efficiency of modern large-scale floating offshore wind turbines and wind farms, in order to reduce the levelized cost of energy for offshore wind and to increase the wind energy usage. We are particularly focusing on real-time repositioning of turbines on movable semi-submersible platforms to dynamically modify the wind farm layout so that turbines in the wind farm operate in an intelligent and cooperative manner and the wind farm’s total power capture is maximized for varying wind and wave conditions. This research is supported by NSERC and MITACS.
    • Control of integrated solar thermal systems: The research objective is to develop control methods to optimize the operation of an integrated solar thermal system. The system consists of solar collector tubes as the thermal energy harvester, a heat pump as an auxiliary energy source, and a hot water tank as a thermal energy storage, located at UBC Centre for Interactive Research on Sustainability (CIRS) rooftop. The optimization takes into account the minimization to rely on the heat pump which requires electricity consumption, varying but predictable user’s hot water usage and solar irradiation. This work has been in collaboration with BC-based company Ascent Systems Technologies, and supported by NSERC.
    • Control of directed energy deposition metal additive manufacturing processes: The research objective is to develop control methods to manufacture parts and components with desired mechanical properties for the directed energy deposition (DED) metal additive manufacturing (AM). We are focusing on spatio-temporal temperature control of the deposited parts based on dynamical models of the DED process, and will validate modeling and control methods using a DED AM machine located in UBC Civil Engineering and Mechanical Engineering building. This work is in collaboration with Professor Xiaoliang Jing at UBC Mechanical Engineering.

Selected Publications

      • Niu, A. Dwivedi, J. Sathiaraj, P. P. Lathi and R. Nagamune, “Floating offshore wind farm control via turbine repositioning: Unlocking the potential unique to floating offshore wind,” IEEE Control Systems Magazine, vol. 44, no. 5, pp. 106-129, October 2024.
      • Rad and R. Nagamune, “Adaptive energy reference time domain passivity control of haptic interfaces,” IEEE Transactions on Haptics, vol. 17, no. 3, pp. 360-371, July-September 2024.
      • J. Li, R. Nagamune, Y. Zhang and S. E. Li, “Robust approximate dynamic programming for nonlinear systems with both model error and external disturbance,” to appear in IEEE Transactions on Neural Networks and Learning Systems.
      • Y. Zhou, P. Bhowmick, L. Zhang, L. Chen, R. Nagamune and Y. Li, “A model reference adaptive control framework for floating offshore wind turbines with collective and individual blade pitch strategy,” Ocean Engineering, vol. 291, 116054 (11 pages), January 2024.
      • B. Saunders and R. Nagamune, “Fatigue load minimization for a position-controlled floating offshore wind turbine,” Journal of Marine Science and Engineering, vol. 11, no. 20, 2274 (15 pages), 2023.
      • M. Rostam, R. Nagamune and V. Grebenyuk, “Self-tuning kernel Gaussian method for predictive control systems,” Journal of Process Control, vol. 128, 103009 (12 pages), 2023.
      • T. Zhong, W. Tang, R. Nagamune and D. Bao, “Gain-scheduling robust control with guaranteed stability for ball screw drives with uncertain load mass and varying resonant modes,” Precision Engineering, vol. 80, pp. 198-207, March 2023.
      • R. Dong, R. Nagamune and A. Wu, “Anti-unwinding nonsingular terminal sliding mode control with attitude maneuver planning for flexible spacecraft,” International Journal of Robust and Nonlinear Control, vol. 33, no. 3, pp. 2090-2112, February 2023.
      • J. Lim, P. Kirchen and R. Nagamune, “Gain-scheduling selective catalytic reduction control in diesel engines with switched H-infinity controllers,“ International Journal of Automotive Technology, vol. 24, no. 1, pp. 105-113, February 2023.
      • G. Froese, S. Y. Ku, A. Cherom Kheirabadi, and R. Nagamune, “Optimal layout design of floating offshore wind farms,“ Renewable Energy. vol. 190, pp. 94-102, March 2022.
      • S. Zimmerman, R. Nagamune and S. Rogak, “Wind estimation by multirotor drone state using machine learning with data rotation and reduction,“ Measurement, vol. 199, 111491, August 2022.
      • S. Zimmerman, M. Yeremi, R. Nagamune and S. Rogak, “Wind estimation by multirotor dynamic state measurement and machine learning models,“ Measurement, vol. 198, 111331, July 2022.
      • A. Cherom Kheirabadi and R. Nagamune, “A low-fidelity dynamic wind farm model for simulating time-varying wind conditions and floating platform motion,” Ocean Engineering, vol. 234, 109313, 2021.
      • J. Lim, P. Kirchen and R. Nagamune, “LPV controller design for diesel engine SCR aftertreatment systems based on quasi-LPV models,” IEEE Control Systems Letters, vol. 5, no. 5, pp. 1807-1812, 2021.
      • J. Lim, P. Kirchen, Y. Han, and R. Nagamune, “Discrete-time preview H-infinity control for selective catalytic reduction systems,” International Journal of Automotive Technology, vol. 22, no. 3, pp. 811-821, June 2021.
      • A. Alizadegan, P. Zhao, R. Nagamune and M. Chiao, “Application of robust H-infinity control to miniaturized optical image stabilizer prototypes,” ASME Journal of Dynamic Systems, Measurement, and Control. Vol. 142, 124501 (6 pages), 2020.
      • M. Rostam, R. Nagamune and V. Grebenyuk, “A hybrid Gaussian process approach to robust economic model predictive control,” Journal of Process Control, vol. 92, pp. 149-160, 2020.
      • A. Cherom Kheirabadi and R. Nagamune, “Real-time repositioning of floating offshore wind turbine platforms for wind farm efficiency maximization: An assessment of feasibility and steady-state potential,” Ocean Engineering, vol. 208, 107445, 2020.
      • C. Han and R. Nagamune, “Position control of floating offshore wind turbines using aerodynamic force,’’ Renewable Energy, vol. 151, pp. 896-907, 2020.
      • S. Hosseinirad, R. Nagamune and V. Grebenyuk, “An optimal control strategy for a heat pump in an integrated solar thermal system,” Journal of Process Control, vol. 84, pp. 35-45, 2019.
      • A. Cherom Kheirabadi and R. Nagamune, “A quantitative review of wind farm control with the objective of wind farm power maximization,” Journal of Wind Engineering and Industrial Aerodynamics, vol. 192, pp. 45-73, September 2019.
      • A. Alizadegan, P. Zhao, R. Nagamune and M. Chiao, “Robust H-infinity control of miniaturized optical image stabilizers against product variabilities,” IFAC Control Engineering Practice, vol. 80, pp. 70-82, 2018.
      • P. Zhao, and R. Nagamune, “Switching linear-parameter-varying control with improved local performance and optimized switching surfaces,” International Journal of Robust and Nonlinear Control, vol. 28, pp. 3403-3421, 2018.
      • J. Homer and R. Nagamune, “Physics-based 3-D control-oriented modelling of floating wind turbines,” IEEE Transactions on Control Systems Technology, vol. 26, no. 1, pp. 14-26, 2018.
      • P. Zhao and R. Nagamune, “Switching LPV controller design under uncertain scheduling parameters,” Automatica, vol. 76, pp. 243-250, 2017.

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