Huifeng Zhang

Xiamen University

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i-10 index

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Co-Authors

Dong Yue

Nanjing University of Posts and Telecommunications

Xinjiang Wei

Ludong University

Xinjiang Wei

Ludong University

Xin Hu

Ludong University

Jian Han

Northeast Petroleum University

Chunxia Dou

Nanjing University of Posts and Telecommunications

Xiangpeng Xie

Nanjing University of Posts and Telecommunications

Gerhard P. Hancke

Nanjing University of Posts and Telecommunications

Chunxia Dou

Nanjing University of Posts and Telecommunications

Xiuhua Liu

Chang'an University

Cooperative Institutions

Chinese Academy of Sciences

Nanjing University of Posts and Telecommunications

University of Chinese Academy of Sciences

Xiamen University

Huazhong University of Science and Technology

Tsinghua University

Ludong University

Shanghai Jiao Tong University

Jilin University

Tan Kah Kee Innovation Laboratory

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Composite anti-disturbance control for ship dynamic positioning systems with thruster faults

Proceedings of the Institution of Mechanical Engineers Part M Journal of Engineering for the Maritime Environment (2023)

Ziwen Yu Xinjiang Wei Huifeng Zhang Xin Hu Jian Han

Anti-disturbance control problem is studied for ship dynamic positioning systems with model uncertainties and ocean disturbances under thruster faults. For the ocean disturbance, a stochastic disturbance observer (SDO) is established to give the online estimation. For thruster faults, an adaptive law is used to evaluate, which is obtain from Lyapunov function. For model uncertainties, a robust control term with adaptive technology is used to attenuate it. Then, a composite anti-disturbance control (CADC) strategy is raised by combining disturbance observer-based control (DOBC), adaptive technology, and robust control term, which makes the position and yaw angle of ship reach the desired values. Finally, the simulation example proves the validity of the controller.

Dynamic positioning

10.1177/14750902231167073

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Multi-agent Based Hierarchical Hybrid Control for Smart Microgrid

Springer eBooks (2021)

Dong Yue Huifeng Zhang Chunxia Dou

Microgrid

Hierarchical control system

10.1007/978-981-33-6722-7_3

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Citations (8)

Multi-agent based optimal operation of hybrid energy resources under high penetration of wind power generation

Huifeng Zhang Dong Yue Yang Zhang Jiang Wu

With the integration of wind power and photovoltaic power, optimal operation of hybrid energy resources becomes great challenge due to its non-convex, stochastic and complex-coupled characteristics. This paper proposes a multi-agent based optimal operation method to properly manage different energy resources, and an improved multi-objective optimization algorithm is also proposed to optimize the optimal operation problem. Hybrid energy resources are classified as three categories: stable power resource, intermittent power resource and energy storage, which can be properly managed with three agents. Each agent represents each energy power resource, and those agents coordinate together to achieve global optima with satisfying various constraints. Based on above multi-agent system, a novel multi-objective differential evolution is proposed to optimize the system model, and both simulation results and a real-life case study confirm that the multi-agent system based optimization method can be taken as a viable alternative for optimizing hybrid energy resource problem.

Differential Evolution

Hybrid power

10.1109/anzcc.2018.8606614

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Citations (1)

Two-Stage Optimal Operation Strategy of Isolated Microgrid With TSK Fuzzy Identification of Supply Security

IEEE Transactions on Industrial Informatics (2019)

Huifeng Zhang Dong Yue Chunxia Dou Xiangpeng Xie Gerhard P. Hancke

Due to the uncertainty of intermittent energy and system load, it is a big challenge to optimally operate an isolated power system. This article proposes a two-stage optimal operation strategy with a Takagi–Sugeno–Kang (TSK) fuzzy system to address the supply security under uncertainty circumstance. For proper analysis of the uncertainty characteristics, adjustable uncertainty parameters of intermittent energy resource and system load are taken as fuzzy sets; with the consideration of the robustness of these uncertainty parameters on isolated power system, it creates a supply-security identification model with the TSK fuzzy approach under radial basis function (RBF) neural network, and deduces optimal weight values with a recursive least square method. For properly avoiding potential risks, security index is classified into several degrees, each degree of risk can switch a different operation model, which can ensure the supply security of an isolated power system. For properly solving the optimization model, gradient descent-based multiobjective cultural differential evolution is employed to minimize economic cost and emission rate simultaneously. With simulations on isolated regional network, the obtained results reveal that the proposed method can be a viable alternative for optimal operation in isolated power systems.

Robustness

Microgrid

Identification

10.1109/tii.2019.2929747

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Citations (11)

Composite anti-disturbance control for a class of uncertain nonlinear systems via disturbance observer and adaptive backstepping method

Huifeng Zhang Yuanwei Jing Xinjiang Wei

A new anti-disturbance control scheme is proposed for a class of nonlinear systems subjecting to multi-source disturbances in this paper. The uncertain multi-source disturbances are classified into two parts, one is the harmonic or constant disturbance with partial known information, which can be formulated by an exogenous system, another one is unknown time-varying disturbances. The nonlinear disturbance observer(NDO) is constructed separately from the controller design to estimate the first kind of disturbance. By integrating NDO with adaptive backstepping technique, a novel composite anti-disturbance control scheme is proposed for the nonlinear systems. Then the stability analysis of all signals of the closed-loop system is presented. Simulation for a numerical example is given to demonstrate the effectiveness of the results.

Constant (computer programming)

10.1109/chicc.2015.7260085

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Analysis of catastrophic earthquake characteristics and countermeasures in China

IOP Conference Series Earth and Environmental Science (2021)

Hong Li Feng Wang Huifeng Zhang Na Cui Zhong Puyu

Abstract Using the 2000-2020 Chinese earthquake disaster population death data as the research object, we conducted an analysis of the characteristics and causes of earthquake disaster population death in mainland China, and put forward targeted countermeasure suggestions for earthquake disaster mitigation.

Countermeasure

China mainland

Research Object

10.1088/1755-1315/734/1/012021

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Citations (0)

Properties of Si/Yb2SiO5/LaMgAl11O19 tri-layered EBCs in high-temperature water vapor environment

Ceramics International (2024)

Qing Hu Zhiqiang Zhong Huifeng Zhang Chunfa Liao Guozuan Xu

10.1016/j.ceramint.2024.11.400

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Distributed Fixed-Time Energy Management for Port Microgrid Considering Transmissive Efficiency

Mathematics (2023)

Zixiao Ban Fei Teng Huifeng Zhang Shuo Li Geyang Xiao

To enhance the efficiency of a port microgrid, this paper proposes an energy management method and a topology construction mechanism considering the convergence rate and information transmission distances, respectively. Firstly, a distributed fixed-time energy management method is proposed to solve an energy management problem in a known time and guarantee the efficiency of the port microgrid. Secondly, to address the challenge of heterogeneous devices with multiple communication protocols, information exchange between different devices is facilitated through a polymorphic network. To obtain a connected communication topology that can ensure the implementation of the distributed energy management method, a connected networking mechanism is proposed. This mechanism minimizes the total communication distance to reduce the effect of the information transmission distance on communication effectiveness. Finally, the effectiveness of both algorithms is demonstrated by simulation, and the advantages of the distributed fixed-time energy management method on the convergence rate are reflected through a comparison with other methods.

Microgrid

Port (circuit theory)

Information exchange

10.3390/math11173674

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Disturbance observer–based finite-time control for a class of systems with multiple heterogeneous disturbances

Transactions of the Institute of Measurement and Control (2022)

Huifeng Zhang Xinjiang Wei Hanxu Zhao Xin Hu

The finite-time anti-disturbance control problem is studied for systems with multiple heterogeneous disturbances, which include the disturbance with partially known information and the external disturbance. A disturbance observer is designed to online estimate the disturbance with partially known information. Based on this, a disturbance observer–based finite-time control (DOBFTC) scheme is presented by combining disturbance observer–based control (DOBC) with finite-time control method to guarantee that the composite system is globally finite-time stable. Two simulation examples including a numerical example and a doubly fed induction generators (DFIG) system are given to show the effectiveness of the proposed method compared with the existing schemes.

Observer (physics)

10.1177/01423312221105971

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Citations (7)

A Multi-population Coevolution Multi-objective Particle Swarm Optimization Algorithm

Jiawei He Huifeng Zhang Xingyu Cui

In this paper, a multi-population coevolution multi-objective particle swarm optimization(MPCMOPSO) algorithm is proposed. In the proposed algorithm, multiple subpopulations and an inferior population are used to search jointly, which strengthens the utilization of inferior particles and not only improves the efficiency of the algorithm, but also effectively improves the convergence and searching ability of the algorithm. Archive set is used to retain non-dominated paticles to realize information exchange between subpopulations and the inferior population, where non-dominated particles in the archive set are used to replace the inferior particles. Moreover, a strategy to prevent particles from falling into local optima is proposed. Finally, experiment results on ZDTs series functions and comparison with other algorithms are given to validate the proposed algorithm.

Local optimum

Coevolution

Algorithm design

10.23919/ccc52363.2021.9549666

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Citations (1)