Seong Ryong Lee

Professor

Kunsan National University

South Korea

Research Interests

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About

Seong Ryong Lee is a Professor at Kunsan National University in South Korea. His research primarily focuses on enhancing energy capture efficiency in permanent magnet variable generator (PMVG) based wind turbine systems, with recent articles addressing various control strategies and performance improvements. His notable contributions include advancements in yaw control, power maximization through predictive strategies, and robust control methodologies for wind energy conversion systems.

Articles (18)

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2025

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2025

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2024

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2024

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2024

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2024

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2023

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2023

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2023

Collaborators (3)

Sang-Yong Jung

Sungkyunkwan University

SOUTH KOREA

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Jae-Hoon Jeong

Kunsan National University

SOUTH KOREA

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Young Hoon Joo

Professor

Kunsan National University

SOUTH KOREA

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Seong Ryong Lee

Research Interests

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About

Articles (18)

Energy capture efficiency enhancement for PMVG based-wind turbine systems through yaw control using wind direction prediction

Performance enhancement of PMSG-based WECS using robust adaptive fuzzy sliding mode control

Performance enhancement using terminal synergetic approach-based back-to-back converter current control for grid connected PMVG wind energy conversion system under diverse operating conditions

An Efficient Angle Search Algorithm for FPS-PLLs in Encoderless Control of PMVG-Based Wind Turbine System Applications

An Enhanced Low-Voltage Ride-Through for PMVG-Based WTS With Unified Super-Capacitor and Rotor Speed Control

Power Maximization Using Finite-Control-Set Model Predictive Control Strategy for Wind Turbine Systems

A Predictive Rotor Position Error Compensation Scheme for Enhanced PMVG Operation in Wind Turbine System Applications

Switched sampled-data-based membership function-dependent H∞ control for PMSG-based WTS with actuator failures

The Stabilization of a Nonlinear Permanent-Magnet- Synchronous-Generator-Based Wind Energy Conversion System via Coupling-Memory-Sampled Data Control with a Membership-Function-Dependent H∞ Approach

Increased power capture efficiency of large-scale wind turbines using model-free coordinated pitch, yaw, and torque control with wind direction estimation in diverse environmental conditions

Open-Switch Fault Diagnosis in Back-to-Back NPC Converters of PMSG-Based WTS via Zero Range Value of Phase Currents

Constrained Maximum Power Extraction in PMVG Wind Turbine System With Predictive Rotor Position Bias-Based Current Angle Control for Power Factor Improvement

Enhanced Active Power Control with Adjustable Range of Non-pitch Regulation for Desired Reference Power Tracking in PMVG-based WTS

Three Level NPC Converter Switch-open-circuit Fault Localization for PMSG-based WTS Using Estimated Phase Angle Deviation Scheme

An improved direct predictive speed control for three-level NPC converter fed PMSG-based offshore wind turbine system with minimum computation

Efficiency Enhancement Using Fault-tolerant Sliding Mode Control for PMVG-based WTS Under Actuator Faults

Fault Ride-Through for PMVG-Based Wind Turbine System Using Coordinated Active and Reactive Power Control Strategy

Performance Enhancement Using Robust Sliding Mode Approach-Based Current Control for PMVG-WECS

Collaborators (3)

Sang-Yong Jung

Jae-Hoon Jeong

Young Hoon Joo

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