Young Hoon Joo

Kunsan National University · School of IT information and Control Engineering

This study investigates a fault ride-through capability for grid-connected permanent magnet vernier generator (PMVG)-based wind turbine system (WTS) using coordinated active and reactive power control strategy. To do this, the generator peak current and speed limitation schemes are proposed for the machine-side converter to satisfy grid code requir...

This study is concerned with the problem of maximum power extraction for a permanent magnet vernier generator (PMVG)-based wind energy conversion system (WECS) using the Q-learning maximum power point tracking (MPPT) algorithm with the finite-time control (FTC) scheme. To do this, the model-free sensorless reinforcement Q-learning algorithm-based M...

Conventional current control (CC) has been utilized to control the converter's voltage in a wind energy conversion system (WECS) due to its ease of implementation. However, mismatched machine parameters and slow-dynamic response can reduce total system performance. To deal with this issue, this study proposes a robust sliding mode approach-based CC...

In this study, we present a coupled fuzzy controller design to stabilize a continuous nonlinear system (NS) with external perturbations that are depicted by the Takagi–Sugeno (T–S) fuzzy systems. First, the coupled fuzzy controller is anticipated by incorporating non-parallel distributed compensation (non-PDC) techniques. Then, the proper non-quadr...

The fuzzy memory sampled-data control problem for a permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) with stochastic packet dropouts is discussed in this paper. To do this, the PMSG-based WECS dynamics are firstly modelled by a set of fuzzy IF-THEN rules of the Takagi–Sugeno (T-S) fuzzy model because of high...

This study aims to present a power factor improvement constrained maximum power extraction for the permanent magnet vernier generator (PMVG)-based wind turbine system (WTS). The PMVG power factor suffers due to design considerations and can be improved by the current angle control (CAC). To do this, a finite angle-rotor position bias (FA-RPB) schem...

This study introduces a constrained many‐objective optimization approach for the optimal design of 20 MW direct drive (DD) permanent magnet synchronous generators (PMSGs). Designing a high‐performance, competitive DD‐PMSG requires considering the generator's performance as well as its weight and material cost. Therefore, we focus on four main chara...

This paper aims to investigate the problems of secure reachability set synthesis and reliable event-driven mechanism design for Takagi-Sugeno (T-S) fuzzy semi-Markovian network control system (S-MNCS) subjected to external disturbances. To this end, important issues such as actuator failures, stochastic jump parameters, and stochastic deception att...

The focus of this work is on establishing stabilization criteria for interval type-2 (IT-2) fuzzy systems with packet losses using a memory-based sampled-data controller (MBSDC) approach. To accomplish this, first, a new fragmentation-based integral inequality (FBII) is proposed with a more accurate estimation. Additionally, considering a fractiona...

As global energy crises and climate change intensify, offshore wind energy, as a renewable energy source, is given more attention globally. The wind power generation system is fundamental in harnessing offshore wind energy, where the control and design significantly influence the power production performance and the production cost. As the scale of...

Wind energy has emerged as one of the most effective solutions to address global energy crises and environmental degradation, owing to its clean and abundant resources [...]

This study presents the fuzzy memory sampled-data controller (FMSDC) scheme for interval type-2 (IT-2) fuzzy networked systems subjected to deception attacks through a dynamic fragmentation approach. First, according to two partition coefficients, a sampling interval is divided into four non-uniform intervals to take more advantage of dynamic infor...

This manuscript investigates the fuzzy memory sampled-data control (MSDC) scheme for the nonlinear permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS) with quantization measurements. First, due to the complex nonlinearity, a Takagi-Sugeno (T-S) fuzzy modeling approach is successfully applied to the dynamics of n...

In this paper, we deal with the approximate controllability of fractional stochastic Sobolev‐type hemivariational differential systems of order r∈(1,2)$$ r\in \left(1,2\right) $$ with sectorial operators. Firstly, by using stochastic analysis, fractional calculus, sine and cosine family operators, sectorial operators, and the fixed‐point theorems o...

The primary objective of this article is to develop an interval type-2 (IT-2) fuzzy controller scheme for analyzing the stability properties of nonlinear permanent-magnet synchronous generator (PMSG)-based wind turbine system (WTS) under external disturbances and parameter uncertainties. More specifically, an IT-2 fuzzy nonfragile sampled-data cont...

Achieving maximum power extraction and reliable power transfer from the wind turbine systems (WTS) to the grid network is essential. Hence, machine and grid-side converters utilize cascaded proportional-integral (PI) controllers to achieve the abovementioned objective. However, the conventional controller's performance gets delayed due to mismatche...

The impulsive effect on the fractional stochastic integrodifferential system of order ϱ∈(1,2)$$ \varrho \in \left(1,2\right) $$ with infinite delay via sectorial operator is investigated in this work. The primary findings of this study are tested by referring to multivalued functions, sectorial operators, fractional derivatives, and the fixed point...

In this article, the Mittag-Leffler synchronization (MLS) problem of a fractional-order permanent magnet synchronous generator (FOPMSG)-based wind turbine system against unknown disturbances, such as external load torque variations and system parameter uncertainties, an adaptive fractional sliding-mode control (AFSMC) method is proposed based on im...

The primary objective of this article is to develop the stochastic aperiodic sampled-data control (SASDC) mechanism for analyzing the reachable set estimate performance (RSEP) and stability properties of Takagi-Sugeno (T-S) fuzzy systems against external disturbances. To do this, firstly, the sampling period is assumed to be time-varying, in which...

A novel non-centralised dispatch strategy is presented for wake redirection to optimise large-scale offshore wind farms operation, creating a balanced control between power production and fatigue thrust loads evenly among the wind turbines. This approach is founded on a graph sparsification partitioning strategy that takes into account the impact o...

Efficient power generation and reduced operational cost are crucial to make wind energy a successful market player. To achieve satisfactory performance in wind turbine technology, it is essential to accurately predict the rotor equivalent wind speed (REWS). Since traditional wind transducers are difficult to measure multiple point wind speed, relat...

The presented work is concerned with the stability performance of frequency response for interconnected power systems (IPSs) with permanent magnet synchronous generator (PMSG)-based wind turbines (WTs) via a decentralized control scheme against external and stochastic disturbances. To do this, initially, the state-space model is derived when a PMSG...

Visual object tracking (VOT) for intelligent video surveillance has attracted great attention in the current research community, thanks to advances in computer vision and camera technology. Meanwhile, discriminative correlation filter (DCF) trackers garnered significant interest owing to their high accuracy and low computing cost. Many researchers...

The main objective of this study is to improve the convergence rate performance and analyze the stability properties of the FOPMSM model considering the load-torque external disturbances and actuator faults. Due to the complex nonlinearity, the presented FONPMSM model in the d-q frame is approximated by an IT-2 T-S fuzzy modeling technique. Besides...

The permanent magnet vernier motor (PMVM) is mainly applied in fields that require low-speed high-torque operation due to its high torque density characteristics, but the non-sinusoidal characteristics of the back electromotive force waveform reduce the stability and precision of the control system, and the low power factor characteristics increase...

This study presents a memory sampled-data control design for the Takagi–Sugeno (T–S) fuzzy-based permanent magnet synchronous generator (PMSG) via an improved looped functional (ILF). To do this, first, the nonlinear PMSG is modeled as a T–S fuzzy system. Then, to derive the sufficient criteria, a novel ILF is proposed, which includes the available...

This article investigates the robust stability of permanent magnet synchronous generator (PMSG)‐based wind turbine (WT) systems with randomly occurring uncertainties (ROUs) under a fuzzy sampled‐data control scheme. To accomplish this, the norm‐bounded uncertainties in the inductance, system inertia, and stator resistance are considered, which are...

This manuscript concerns the stabilization of discrete‐time Takagi‐Sugeno (T‐S) fuzzy systems with additive time‐varying delay components. By constructing a suitable fuzzy Lyapunov‐Krasovskii functional (LKF) with membership functions, the sufficient condition of the stability criteria has been established for the discrete‐time T‐S fuzzy systems wi...

This paper presents the design of a decentralized observer‐based control scheme for large‐scale interconnected systems based on the integral sliding mode control (ISMC) approach. To do this, a novel decentralized observer is designed via the ISMC approach that helps to estimate the unmeasured states. Then, by constructing a suitable Lyapunov functi...

This article is primarily targeting the approximate controllability outcomes for the Atangana–Baleanu fractional neutral stochastic integro‐differential equation with infinite delay. First, by using stochastic analysis, fractional calculus, and Krasnoselskii fixed point techniques, we demonstrate the existence of mild solutions for the fractional s...

During the past decade, wind power generation has been rapidly developed. As a key component of feasibility analysis, the cost modelling and economic analysis directly affect the construction of wind power projects. This review attempts to explain the whole life cycle composition, economic analysis method and cost modelling process of wind power fr...

This paper proposes a hybrid optimization method to optimize the topological structure of an offshore-wind-farm power collection system, in which the cable connection, cable selection and substation location are optimally designed. Firstly, the optimization model was formulated, which integrates cable investment, energy loss and line construction....

The power system network grows yearly with a large number of nonlinear power generation systems. In this scenario, accurate modeling, control, and monitoring of interface systems and energy conversion systems are critical to the reliability and performance of the overall power system. In this trend, the permanent magnet synchronous generator (PMSG)...

This paper investigates the control strategy for extracting stable output power and regulating DC-link voltage in a permanent-magnet vernier generator (PMVG)-based wind turbine system (WTS). To do this, the dynamical model of PMVG-based WTS is constructed. Then, in order to maximize output power, an integral sliding mode controller (ISMC) for the m...

This study focuses on efficiency enhancement using fault-tolerant sliding mode control (SMC) for permanent magnet vernier generator (PMVG)-based wind turbine system (WTS) under actuator faults. To do this, the dynamical model of the WTS is constructed with the actuator fault model. Next, the optimum tip speed ratio-based SMC method is proposed to c...

This study investigates the stability characteristics of the Takagi–Sugeno (T–S) fuzzy system under the sampled-data control (SDC). The considered SDC-based T-S fuzzy system is represented as a T-S fuzzy system with varying time delays, which is based on the input delay method. Next, a proper Lyapunov-Krasovskii functional (LKF) candidate is formul...

The aim of this study is to focus on proposing the theoretical framework for investigating the stability properties of permanent magnet synchronous motors (PMSMs) considering the stochastic disturbances and parameter uncertainties in the fractional domain. To do this, the aerodynamics of PMSM is chosen as stochastic disturbances, followed by the in...

This study aims to enhance the reliability and availability of a three-level neutral point clamped (NPC) converter of a permanent magnet synchronous generator (PMSG)-based high-power wind turbine system by proposing a multiple open-switch fault diagnosis method. The open-switch (OS) faults lead to severe torque pulsation and distorted grid current...

This article studies the robust exponential stability and Takagi–Sugeno (T–S) fuzzy control synthesis for networked control systems via ℋ∞$$ {\mathscr{H}}_{\infty } $$ performance. The main aim of this paper is to design fuzzy controllers with less conservative results. Novel weighted integral inequalities (WIIs) are proposed based on Wirtinger's i...

This study investigates thedissipative-based fuzzy sampled-data control scheme for variable-speed wind turbine system (WTS) by fragmented-delayed state looped functional framework. The main objective of this study is to stabilize the nonlinear variable-speed WTS and enhance its dynamic performance. To do this, initially, the proposed nonlinear vari...

The objective of this study is to compare, analyze and evaluate the performance between permanent magnet synchronous generator (PMSG) and permanent magnet vernier generator (PMVG)-based wind turbine systems (WTSs) using maximum power point tracking (MPPT) control technology. To do this, first, the dynamical model of the PMSG and PMVG-based WTS is c...

As the impacts of environmental change become more severe, reliable and sustainable power generation and efficient aerodynamic power collection of onshore and offshore wind turbine systems present some of the associated key issues to address. Therefore, this review article aims to present current advances and challenges in the aerodynamic power ext...

This article investigates the switched fault‐tolerant tracking control techniques for a permanent magnet synchronous generator (PMSG)‐based variable‐speed wind energy conversion system (WECS) subject to actuator faults. To do this, a Takagi‐Sugeno fuzzy model is exploited to delineate the nonlinear WECS composed of a PMSG and wind turbine. By using...

Correlation filter (CF) based trackers have shown excellent performance under challenging conditions. However, these techniques are usually limited by the boundary effect which is hard to cope with variation and distraction. To improve the tracker's sensitivity to uncertain environmental changes, this study proposes a strategy called "Learning Envi...

The motivation for establishing sparse communication architecture is to reduce the complexity and size of the power optimisation problem being solved by centralised controllers of a large-scale offshore wind farm. In this regard, this article introduced the sub-graph extraction technique to construct sparse communication architectures while ignorin...

This paper presents the dynamic integral sliding mode control (DISMC) design for interconnected power systems (IPSs). The IPSs consider the effect of time delay related to area control error and the parametric uncertainty. Different from the previous studies, to fully adopt the characteristics of both the system state and control input vector, a no...

This study investigates the passivity analysis of fractional-order Takagi-Sugeno (T-S) fuzzy systems subject to external disturbances and nonlinear perturbations under an adaptive integral sliding mode control (AISMC) methodology. To better accommodate the features of the T-S fuzzy dynamical model, a novel fractional-order memory-based integral-typ...

This paper investigates the formation control problem for multiple nonholonomic wheeled mobile robots using distributed estimators and a biologically inspired approach. The formation pattern of the system adopts leader–follower structure and the communication topology among the multi-robot system is modelled by an undirected graph. In our proposed...

This paper is devoted to investigating the swarm formation control problem of multiple nonholonomic wheeled mobile robots. A coordinate control scheme based on the leader–follower approach is developed to achieve swarm formation. It is challenging for followers to follow the leader safely and keeping the desired distance. Therefore, this paper intr...

Maximum wind energy extraction remains a challenge for large-scale wind turbines due to their higher moment of inertia. In this respect, this study investigates the challenges of achieving a maximum power extraction facility from the variable speed wind turbine (VSWT) by using a sliding mode control (SMC) scheme. Firstly, a integral sliding manifol...

Due to extreme weather or wind turbine (WT) fault, WTs often collects abnormal data, which often interferes with the real-time control strategy of WT. To detect the abnormal data in real time, a detection framework suitable for wind power data is proposed, integrating the semi-supervised learning mechanism into the Robust Random Cut Forest algorith...

This study proposes a technique to design a decentralized sampled-data H∞ fuzzy filter for nonlinear interconnected systems. Unlike previous studies, a novel sampled-data fuzzy filter design includes exponential time-varying gains, which leads to enlargement of the sampling period and improvement in the decay rate performance of the filter. The fil...

This study presents the coupling memory sampled-data control (CMSDC) design for the Takagi-Sugeno (T-S) fuzzy system that solves the stabilization issue of a surface-mounted permanent magnet synchronous generator (PMSG)-based wind energy conversion system (WECS). A fuzzy CMSDC scheme that includes the sampled-data control (SDC) and memory sampled-d...

Maximum wind energy extraction remains a challenge for large-scale wind turbines due to their higher moment of inertia. In this respect, this study investigates the challenges of achieving a maximum power extraction facility from the variable speed wind turbine (VSWT) by using a sliding mode control (SMC) scheme. Firstly, a integral sliding manifol...

Over the last few years, improving power extraction from the wind energy conversion system (WECS) under varying wind speeds has become a complex task. The current study presents the optimum maximum power point tracking (MPPT) control approach integrated with neural network (NN)-based rotor speed control and pitch angle control to extract the maximu...

This study presents an effective control strategy for regulating the DC-link voltage in a variable-speed direct-driven (DD) wind energy conversion system (WECS) using a permanent magnet vernier generator (PMVG). To do this, at first, the overall system is configured using back-to-back (BTB) voltage source converters, and the whole system’s dynamica...

This study presents a fast terminal synergetic control (FTSC) scheme to investigate the nonlinear control problem of permanent magnet vernier generator (PMVG)-based variable-speed wind energy conversion systems (WECSs). In wind turbines, better speed tracking and fast dynamic behavior is required to achieve the maximum power extraction. To do this,...

This study analyzes the problem of dissipative-based fuzzy sampled-data control mechanism for variable-speed wind turbine system (WTS) by fragmented-delayed state looped functional (FDSLF) framework. First, the proposed nonlinear variable-speed WTS is transformed into linear subsystems based on the Takagi-Sugeno (T-S) fuzzy approach. Then, the conc...

Wind direction is random and time-varying, which is arduous to be accurately predicted. The yaw control based on the predicted wind direction is limited by the accuracy of the wind direction prediction, which leads to narrow improvement in the energy capture efficiency of the wind turbine (WT). For this issue, a Stochastic Model Predictive Yaw Cont...

The main challenge in improving energy harvest faced by modern large-scale wind turbines (WTs) comes from the fact that the blade rotor with the large inertia having a slow response impedes the optimal tip speed ratio tracking. On the premise that the future wind speed can be accurately predicted, nonlinear model predictive control (NMPC) can effec...

This paper investigates the distributed leader-following formation control problem for multiple nonholonomic wheeled mobile robots via a bioinspired neurodynamic approach. To do this, first, we develop a distributed estimator for each follower robot which uses its own information and the information of its neighboring robots to estimate the leader’...

Operation optimization for large-scale offshore wind farms can cause the fatigue loads of single wind turbines to exceed their limits. This study aims to improve the economic profit of offshore wind farms by conducting multi-objective optimization via decoupled group operations of turbines. To do this, a large-scale wind farm is firstly divided int...

This work proposes an effective high-resolution multisource direction-of-arrival (DOA) estimation method in impulsive noise scenarios based on convolutional neural networks (CNNs). First of all, the array observation matrix is preprocessed and fed into a denoising network to suppress outliers and filter out impulsive noise. Secondly, the denoising...

This study is mainly concerned with fuzzy integral sliding mode control (FISMC) design for double-fed induction generator (DFIG)-based wind energy system (WES) under membership function-dependent H∞ approach. To do this, a nonlinear DFIG based WES is considered with exogenous load torque variation. Then, by utilizing Takagi-Sugeno fuzzy approach, t...

Considering the wake effects, developing an efficient wake-based graph clustering algorithm is essential for the decentralised coordinated online control of large offshore wind farms. In this study, the idea of graph sparse is introduced into the algorithm, in which the sparsified wake-directed graph is generated while preserving the original wake-...

This study discusses the power maximization and DC link voltage regulation problems of a permanent magnet vernier generator (PMVG) based wind energy conversion system. To do this, first, the dynamical model of PMVG-based wind turbine is developed and presented. Then, the overall control structure is configured utilizing a back-to-back converter wit...

In this study, the nonparallel distribution compensation (PDC) control is proposed for permanent magnet synchronous generator (PMSG)-based wind energy conversion systems (WECS). To do this, the nonlinear PMSG-based WECS is expressed by Takagi-Sugeno (T-S) fuzzy systems. Based on the imperfect premise matching, the T-S fuzzy observer is delineated f...

This study concerns the stabilization criteria of Takagi-Sugeno (T-S) fuzzy systems under the memory-based sampled-data control. Contrasted to the traditional sampled-data control strategy, a more general control scheme that admits the signal transmission delay and the multiplicative control gain uncertainties is designed. In order to indicate the...

For large-scale photovoltaic plants, accurate fault locating provides strong support for efficient maintenance. Based on aerial infrared videos, a progressive locating method is proposed to locate faults in the photovoltaic plants. The photovoltaic string is first located, and the faults are located on the modules of the corresponding photovoltaic...

Owing to scale-up and complex wake effects, the centralized control that processes the command from turbines may be unsuitable, as it incurs high communication overhead and computational complexity for a large offshore wind farm (OWF). This paper proposes a novel decentralized non-convex optimization strategy for maxing power conversion of a large...

The main objective of the study is to investigate the Takagi-Sugeno fuzzy-model-based networked control system under the fuzzy event-triggered H∞ control scheme. Instead of considering the conventional network transmission delay, the paper introduces the probability distribution based network transmission delay, which is more compatible with real t...

This study investigates the stability of nonlinear interconnected systems (ISs) with time-delays by designing a decentralized memory-based sampled-data control and it’s an application to power system with doubly fed induction generator (DFIG)-based wind turbines (WTs). Initially, a nonlinear delayed IS is expressed as a delayed Takagi-Sugeno fuzzy...

This paper investigates the fault-tolerant load frequency control (LFC) design of interconnected wind power systems. For this, a doubly-fed induction generator (DFIG)-based wind farm is integrated into the interconnected power systems. Distinct from the existing works, the communication time-delay is taken into the area control error (ACE) signals...

This study is concerned with the stability analysis for the fuzzy-based sampled-data control (SDC) systems which is based on a fractional parameter-based refined looped Lyapunov functional (RLLF). To do this, with the help of the Takagi-Sugeno (T-S) fuzzy method, a SDC can be designed. To derive sufficient criteria, a RLLF with information about th...

With the emergence of camera technology, visual tracking has witnessed great attention in the field of computer vision. For instance, numerous discriminative correlation filter (DCF) methods are broadly used in tracking, nevertheless, most of them fail to efficiently find the target in challenging situations which leads to tracking failure througho...

This letter presents a systematic approach to estimate the annual energy production (AEP) of variable-speed wind turbines erected at high-altitude sites. Compared with the existing empirical-model based approaches, the proposed approach models the influence of the air density on the power production while employing the theoretical power curve. Cons...

In this paper, we study the problem of modelling and controlling vision-based moving object tracking for mobile robots using leader-follower formation control. First, a novel kinematics model for leader-follower robot formation is formulated based on the distributed estimator of each follower mobile robots, which uses its own information and its ne...

This article analyzes the integral sliding mode control (ISMC) problem for the nonlinear stochastic system by employing the fuzzy approach. Firstly, the Takagi‐Sugeno (T‐S) fuzzy stochastic model with unknown nonlinear function and external disturbance has been developed. Based on the fuzzy model, an observer‐based integral sliding mode fuzzy contr...

In this article, the stabilization problem of discrete-time power systems subject to random abrupt changes is studied via asynchronous control. In this regard, the transient faults in the power lines, and subsequent switching of associated circuit breakers are modeled as a Markov chain. Based on this, the power systems are described as discrete-tim...

This study is relevant to the topic of a robust event-triggered mechanism for the Takagi–Sugeno (T–S) fuzzy system with successive time-delay (STD) signals and its application, where the uncertainties satisfy the randomly occurring form. Firstly, an event-triggered communication scheme is introduced, which can adaptively adjust the communication th...

In this study, a fault‐tolerant position tracking control of a quadrotor unmanned aerial vehicle (UAV) is addressed by proposing a model reference interval type‐2 (IT‐2) fuzzy‐model‐based sliding mode tracking control methodology. Considering the underactuated characteristic of the quadrotor UAV, first, the authors separate the overall dynamics of...

The main objective of this study is to focus on dynamical analysis of full-scale direct-driven permanent magnet synchronous generator (PMSG)-based wind energy conversion systems (WECSs) configured with back to back (BTB) voltage source converters (VSCs). The mathematical methods have employed to discuss the properties WECSs in a theoretical manner,...

In the literature, numerous techniques have proposed to enhance the performance of tracking the visual objects and each method has its own merits and demerits. For instance, the existing tracking methods may lack in performance due to external disturbances that include background clutter, occlusion, and scale variations. In this article, we propose...