K2‑SPRING Q-ENERGY Innovator Unit グリーンイノベーションユニット
Kohei Minoda Photo
minoda_kohei.jpeg
2026 Cohort 2026年度
K2-SPRING · Q-ENERGY Innovator Unit · Admission 2026 K2-SPRING · グリーンイノベーションユニット · 2026年度入学

Kohei Minoda

簑田 康平

Affiliation
所属
Graduate School of Engineering
工学府
Major / Department
専攻
Marine Systems Engineering
船舶海洋工学専攻
Supervisor
指導教員
Prof. Tomoaki UTSUNOMIYA 宇都宮 智昭 教授
§ 01

K2-SPRING research

K2-SPRING 研究

K2-SPRING Project · Primary focus K2-SPRINGプロジェクト · 主題

Advancing Floating Offshore Wind Turbines via Fusion of Fluid Physics and Control Theory: Heave-Plate Damping Mechanism

Advancing Floating Offshore Wind Turbines via Fusion of Fluid Physics and Control Theory: Heave-Plate Damping Mechanism

Standard control models of floating offshore wind turbines treat heave-plate hydrodynamic forces with simplified drag coefficients, but real sea states are dominated by complex vortex-shedding phenomena that conventional formulations cannot capture. This project deliberately steps outside the doctoral 'control/theory' framework to interrogate the underlying fluid-physics — specifically the damping mechanism driven by vortex shedding around heave plates in the low Keulegan–Carpenter (KC) regime. CFD simulations (Code_Saturne) carried out at Kyushu University are paired with tank experiments at ENSTA Paris (Institut Polytechnique de Paris), under a collaboration with Prof. Luc Pastur initiated by the applicant. PIV-based visualization quantifies vortex shedding under irregular waves and at low frequencies. The outcome is a more general, physics-grounded heave-plate design formula that can be embedded as a parameter in the doctoral state-space model, closing the loop between physical understanding and control design.

Standard control models of floating offshore wind turbines treat heave-plate hydrodynamic forces with simplified drag coefficients, but real sea states are dominated by complex vortex-shedding phenomena that conventional formulations cannot capture. This project deliberately steps outside the doctoral 'control/theory' framework to interrogate the underlying fluid-physics — specifically the damping mechanism driven by vortex shedding around heave plates in the low Keulegan–Carpenter (KC) regime. CFD simulations (Code_Saturne) carried out at Kyushu University are paired with tank experiments at ENSTA Paris (Institut Polytechnique de Paris), under a collaboration with Prof. Luc Pastur initiated by the applicant. PIV-based visualization quantifies vortex shedding under irregular waves and at low frequencies. The outcome is a more general, physics-grounded heave-plate design formula that can be embedded as a parameter in the doctoral state-space model, closing the loop between physical understanding and control design.

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Doctoral research — context for the K2-SPRING project

博士 研究 — K2-SPRINGプロジェクトの背景

Main PhD work 博士課程主研究

Integrated state estimation and adaptive control of floating offshore wind turbine systems

Integrated state estimation and adaptive control of floating offshore wind turbine systems

Builds a comprehensive control framework for floating offshore wind turbines that simultaneously maximizes power output and reduces structural fatigue. A six-degree-of-freedom nonlinear state-space model couples aerodynamic, hydrodynamic, and mooring forces. State estimation extends the master-program nonlinear Kalman filter to multivariable systems, treating wind and waves as unknown inputs and compensating in real time. Nonlinear optimal control based on the Hamilton–Jacobi equation and stable-manifold method coordinates blade pitch and platform attitude under severe sea states; adaptive parameters track changing ocean conditions. Validation uses NREL's high-fidelity OpenFAST simulator.

Builds a comprehensive control framework for floating offshore wind turbines that simultaneously maximizes power output and reduces structural fatigue. A six-degree-of-freedom nonlinear state-space model couples aerodynamic, hydrodynamic, and mooring forces. State estimation extends the master-program nonlinear Kalman filter to multivariable systems, treating wind and waves as unknown inputs and compensating in real time. Nonlinear optimal control based on the Hamilton–Jacobi equation and stable-manifold method coordinates blade pitch and platform attitude under severe sea states; adaptive parameters track changing ocean conditions. Validation uses NREL's high-fidelity OpenFAST simulator.

§ 03

Research achievements

研究 業績

Papers 論文

To be updated.

準備中

Conferences 学会発表

To be updated.

準備中

Awards & Honours 受賞・表彰

To be updated.

準備中

Programme & institutional affiliation プログラム・機関情報
K2-SPRING JST SPRING programmeJSTスプリングプログラム
Q-PIT Unit coordinatorユニットコーディネーター
Q-Energy Innovator Unit Q-Energy Innovator Unit Q-Energy Innovator Unitグリーンイノベーションユニット
Kyushu University Host universityホスト大学