Search Results - "Yin, Xiuxing"

Jointly improving energy efficiency and smoothing power oscillations of integrated offshore wind and photovoltaic power: a deep reinforcement learning approach by Yin, Xiuxing, Lei, Meizhen

“…This paper proposes a novel deep reinforcement learning (DRL) control strategy for an integrated offshore wind and photovoltaic (PV) power system for improving…”
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Design and simulation of a novel continuously variable-speed drivetrain for wind turbine by Pan, Li, Gao, Tao, Cai, Shibo, Yin, Xiuxing

“…This paper presents a novel hydrodynamic pressure transmission (HPT) for continuously variable drive train in wind turbine applications. The HPT mainly…”
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Deep Neural Learning Based Distributed Predictive Control for Offshore Wind Farm Using High-Fidelity LES Data by Yin, Xiuxing, Zhao, Xiaowei

“…This article explores the deep neural learning (DNL) based predictive control approach for offshore wind farm using high-fidelity large eddy simulations (LES)…”
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Towards complementary operations of offshore wind farm and photovoltaic array: A centralized reinforcement learning enabled control approach by Yin, Xiuxing, Lei, Meizhen

“…•Dynamic control framework for joint operations of the integrated offshore wind farm and PV power system.•Generator torque control in the wind farm is employed…”
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Deep reinforcement learning based coastal seawater desalination via a pitching paddle wave energy converter by Yin, Xiuxing, Lei, Meizhen

“…Wave energy has the potential to become a significant contributor to the future seawater desalination thanks to its high-power density. However, the…”
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Wave condition preview assisted real-time nonlinear predictive control of point-absorbing wave energy converter based on long short-term memory recurrent neural identification by Yin, Xiuxing, Jiang, Zhansi

“…•A real-time nonlinear model predictive controller to maintain the optimal wave energy extraction.•Wave condition preview based on the recurrent neural network…”
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Big data driven multi-objective predictions for offshore wind farm based on machine learning algorithms by Yin, Xiuxing, Zhao, Xiaowei

“…This paper explores the big data driven multi-objective predictions for offshore wind farm based on machine learning. A data-driven prediction framework is…”
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Multi-objective optimal coordination of electric vehicle charging, power grid, energy storages and renewables by Shao, Mi, Yin, Xiuxing

“…Considering that the grid connection of variable renewable energies (VREs) and the disorderly charging loads of large-scale electric vehicles (EVs) will…”
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Composite Hierarchical Pitch Angle Control for a Tidal Turbine Based on the Uncertainty and Disturbance Estimator by Yin, Xiuxing, Zhao, Xiaowei

“…With the fast development of tidal turbines for sustainable energy generations, reliable and efficient tidal pitch systems are highly demanded. This paper…”
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ADV Preview Based Nonlinear Predictive Control for Maximizing Power Generation of a Tidal Turbine With Hydrostatic Transmission by Yin, Xiuxing, Zhao, Xiaowei

“…As the development of tidal turbines attracts more and more attention in recent years, reliable design and efficient control of tidal turbines are becoming…”
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Direct adaptive robust tracking control for 6 DOF industrial robot with enhanced accuracy by Yin, Xiuxing, Pan, Li

“…A direct adaptive robust tracking control is proposed for trajectory tracking of 6 DOF industrial robot in the presence of parametric uncertainties, external…”
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Avoiding thermal runaway propagation of lithium-ion battery modules by using hybrid phase change material and liquid cooling by Zhang, Wencan, Liang, Zhicheng, Yin, Xiuxing, Ling, Guozhi

“…•A novel battery thermal management system based on phase change material (PCM) and liquid cooling.•The PCM acts as a heat buffer to avoid the thermal runaway…”
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An up to date review of continuously variable speed wind turbines with mechatronic variable transmissions by Yin, Xiuxing

“…Summary As a promising and potential alternative to conventional fixed or variable speed wind turbines, continuously variable speed wind turbines (CVSWTs) with…”
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Sensorless Maximum Power Extraction Control of a Hydrostatic Tidal Turbine Based on Adaptive Extreme Learning Machine by Yin, Xiuxing, Zhao, Xiaowei

“…In this paper, a hydrostatic tidal turbine (HTT) is designed and modeled, which uses more reliable hydrostatic transmission to replace existing fixed ratio…”
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A novel continuously variable-speed offshore wind turbine with magnetorheological transmission for optimal power extraction by Yin, Xiuxing, Jiang, Zhansi

“…The paper introduces a novel magnetorheological transmission (MT) type offshore wind turbine (OWT), which integrates the MT into the traditional-geared train…”
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Optimal power extraction of a two-stage tidal turbine system based on backstepping disturbance rejection control by Yin, Xiuxing, Zhao, Xiaowei

“…•A backstepping disturbance rejection control (BDRC) is proposed for tidal turbines.•The proposed BDRC extended the traditional active disturbance rejection…”
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A novel heat pipe assisted separation type battery thermal management system based on phase change material by Zhang, Wencan, Qiu, Jieyu, Yin, Xiuxing, Wang, Daoyong

“…•Designing a heat pipe assisted separation type battery thermal management system.•An additional fan and phase change material are used to enhance heat…”
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Data driven learning model predictive control of offshore wind farms by Yin, Xiuxing, Zhao, Xiaowei

“…•A data-driven control approach is proposed to maximize wind farm power generation.•This approach can iteratively improve power capture and minimize control…”
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Robust adaptive fuzzy sliding mode trajectory tracking control for serial robotic manipulators by Yin, Xiuxing, Pan, Li, Cai, Shibo

“…•A robust adaptive fuzzy sliding controller designed in the task space.•High-frequency uncertain term approximated by using a fuzzy logic system.•Experimental…”
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Recurrent neural network based adaptive integral sliding mode power maximization control for wind power systems by Yin, Xiuxing, Jiang, Zhansi, Pan, Li

“…An adaptive integral sliding mode controller is proposed to maximize wind power extraction by maintaining the optimum rotation speed of wind turbine. In the…”
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