Zhigang Liu

Zhigang Liu

Southwest Jiaotong University

H-index: 41

Asia-China

About Zhigang Liu

Zhigang Liu, With an exceptional h-index of 41 and a recent h-index of 37 (since 2020), a distinguished researcher at Southwest Jiaotong University, specializes in the field of Power System, Traction Power, Railway Engineering.

His recent articles reflect a diverse array of research interests and contributions to the field:

2-DOF Internal Model Direct Power Control Scheme Based on H∞ Theory for Dual Traction Rectifiers with Parameter Perturbations

Optimization of Railway Pantograph-Catenary Systems for Over 350 km/h Based on an Experimentally Validated Model

An Optimized dq-Frame Admittance Modeling Method for Single-Phase Railway Vehicle-grid System Considering the Impact of Asymmetric αβ Control

Adaptive Subband Forward Blind Source Separation Algorithms based on Kalman Mechanism

Suppression of Railway Catenary Galloping Based on Structural Parameters’ Optimization

Low-Frequency Stability Analysis of Train-Grid System: A Perspective from DAB Converter

Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023: Safety Assurance and Operation …

Influence of Surface Roughness of Sliding Friction Pairs on Pantograph-Catenary Contact Resistance

Zhigang Liu Information

University

Southwest Jiaotong University

Position

Professor

Citations(all)

8415

Citations(since 2020)

5783

Cited By

4534

hIndex(all)

41

hIndex(since 2020)

37

i10Index(all)

240

i10Index(since 2020)

146

Email

University Profile Page

Southwest Jiaotong University

Zhigang Liu Skills & Research Interests

Power System

Traction Power

Railway Engineering

Top articles of Zhigang Liu

2-DOF Internal Model Direct Power Control Scheme Based on H∞ Theory for Dual Traction Rectifiers with Parameter Perturbations

Authors

Xinju Wang,Xiaomin Wang,Zhigang Liu

Journal

IEEE Transactions on Transportation Electrification

Published Date

2024/2/26

For dual traction rectifiers (DTR) of high-speed trains, system uncertainties, such as parametric uncertainties, load variations, and external disturbances, may result in significant DC-link voltage fluctuations, degrade the quality of grid currents, and even lead to system instability. While robust control can maintain the robust performance of DTR in a comparatively wide range of parameter perturbations, it ignores the transient performance requirements. Additionally, due to the limitations of the one-degree-of-freedom (1DOF) control structure, it is difficult to consider the tracking and anti-interference performance simultaneously. To this end, a H ∞ based internal model direct power control ( H ∞ IM-DPC) approach is developed. First, a modified dynamic model is established in a stationary frame, and a 2DOF IM-DPC structure is presented. A desired closed-loop transfer function is also added to ameliorate the dynamic …

Optimization of Railway Pantograph-Catenary Systems for Over 350 km/h Based on an Experimentally Validated Model

Authors

Yang Song,Xiaobing Lu,Yanhong Yin,Yuhui Liu,Zhigang Liu

Journal

IEEE Transactions on Industrial Informatics

Published Date

2024/2/21

The pantograph-catenary system is widely used in most electrified rail networks around the world to transmit continuous electric current to the train. Most studies about the pantograph-catenary interaction are performed at a speed of lower than 350 km/h. In this article, the experimental test and the numerical simulation of the pantograph-catenary interaction were conducted at different speed levels, including the 380 km/h speed close to the catenary's wave speed. The pantograph-catenary contact force collected via an inspection vehicle was used to validate the numerical accuracy. The contact force statistics obtained by both the simulation and experimental test exhibit excellent agreement at different speeds. Then a neural network optimization algorithm is implemented to optimize the contact quality at four operating speeds. The best optimization performance is observed at the speed of 380 km/h in terms of the over …

An Optimized dq-Frame Admittance Modeling Method for Single-Phase Railway Vehicle-grid System Considering the Impact of Asymmetric αβ Control

Authors

Siqi Wu,Siqi Bu,Zhigang Liu

Journal

IEEE Transactions on Power Electronics

Published Date

2024/2/5

To tackle the small-signal instability in the single-phase railway vehicle-grid system, the dq admittance modeling method has received great attention. However, the orthogonal β components created by the asymmetric quadrature signal generators (QSGs) for dq control inevitably suffer from amplitude or phase errors at non-fundamental frequencies, which are not fully considered in the traditional dq modeling method. As revealed in this letter, due to the inherent signal dimensionality reduction process from the actual control output [two-dimension (2-D) scalar] to the single-phase power stage input (1-D scalar), the non-ideal β components can introduce non-negligible errors to the traditional dq model. Thus, as a solution, an optimized dq admittance modeling method for the single-phase converter in vehicles is proposed, which involves the impact of the asymmetric QSGs by capturing the signal dimensionality …

Adaptive Subband Forward Blind Source Separation Algorithms based on Kalman Mechanism

Authors

Jianhong Ye,Yi Yu,Yuriy Zakharov,Zhigang Liu,Hongsen He

Journal

IEEE Transactions on Instrumentation and Measurement

Published Date

2024/4/30

In forward blind source separation (FBSS) scenarios, subband adaptive filtering ( SAF) algorithms provide fast convergence due to the SAF decorrelation ability. However, existing SAF algorithms suffer from a signal delay stemmed from the utilization of the synthesis filters. To solve this problem, we propose a delayless multi-sampled FBSS (DMSFBSS) algorithm by inserting a delayless multi-sampled multiband SAF structure. For a fixed SAF step-size, there is also a trade-off between the convergence speed and steady-state error. We break this relationship by further developing an optimal DMSFBSS (ODMSFBSS) algorithm that minimizes the mean squared deviation of DMSFBSS with respect to the subband gain vectors, to provide simultaneously fast convergence and low steady-state behavior. Intrinsically, the ODMSFBSS algorithm is an extension of the Kalman filtering theory over the subband-based FBSS …

Suppression of Railway Catenary Galloping Based on Structural Parameters’ Optimization

Authors

Yuhui Liu,Yang Song,Fuchuan Duan,Zhigang Liu

Journal

Sensors

Published Date

2024/2/2

Railway catenary galloping, induced by aerodynamic instability, poses a significant threat by disrupting the electric current connection through sliding contact with the contact wire. This disruption leads to prolonged rail service interruptions and damage to the catenary’s suspension components. This paper delves into the exploration of optimizing the catenary system’s structure to alleviate galloping responses, addressing crucial parameters such as span length, stagger dropper distribution, and tension levels. Employing a finite element model, the study conducts simulations to analyze the dynamic response of catenary galloping, manipulating structural parameters within specified ranges. To ensure accurate and comprehensive exploration, the Sobol sequence is utilized to generate low-discrepancy, quasi-random, and super-uniform distribution sequences for the high-dimensional parameter inputs. Subsequent to the simulation phase, a genetic algorithm based on neural networks is employed to identify optimal parameter settings for suppressing catenary galloping, taking into account various constraints. The results gleaned from this investigation affirm that adjusting structural parameters can effectively diminish the galloping amplitude of the railway catenary. The most impactful strategy involves augmenting tension and reducing span length. Moreover, even when tension and span length are fixed, adjusting other parameters demonstrates efficacy in reducing galloping amplitudes. The adjustment of messenger-wire tension, dropper distribution, and stagger can achieve a 22.69% reduction in the maximum vertical galloping amplitude. Notably …

Low-Frequency Stability Analysis of Train-Grid System: A Perspective from DAB Converter

Authors

Chunxu Lin,Xinglai Ge,Huimin Wang,Xiangyu Meng,Junwen Mu,Zhigang Liu

Journal

IEEE Transactions on Power Electronics

Published Date

2024/4/8

Despite the great potential of power electronic traction transformer (PETT) in high-speed train, the issue of lowfrequency oscillation (LFO) is a concern. Unfortunately, current studies assessing the low-frequency stability of the PETT often oversimplify the dual active bridge (DAB) converter as a passive circuit, which may lead to an unreliable analysis result. To clarify this issue, this letter examines the mechanism of LFO in the PETT-based train-grid system from the perspective of a DAB converter. Specifically, a complete impedance model of the PETT is first established by using the harmonic linearization method. Then, the stability differences between simplified PETT and complete PETT are investigated, and the impact mechanism of DAB converter on the LFO is thoroughly revealed. Experimental test results verify the correctness of modeling and analysis.

Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023: Safety Assurance and Operation …

Authors

Matteo Maffei,Mark Ryan

Published Date

2017/4/22

Proceedings of the 6th International Conference on Principles of Security and Trust - Volume 10204 | Guide Proceedings ACM Digital Library home ACM home Google, Inc. (search) Advanced Search Browse About Sign in Register Advanced Search Journals Magazines Proceedings Books SIGs Conferences People More Search ACM Digital Library SearchSearch Advanced Search Browse Browse Digital Library Collections More Home Browse by Title Proceedings Proceedings of the 6th International Conference on Principles of Security and Trust - Volume 10204 Proceedings of the 6th International Conference on Principles of Security and Trust - Volume 10204 PreviousNext ACM Digital Library ABSTRACT No abstract available. Recommendations Comments Login options Check if you have access through your login credentials or your institution to get full access on this article. Sign in Full Access Get this …

Influence of Surface Roughness of Sliding Friction Pairs on Pantograph-Catenary Contact Resistance

Authors

Xiaokang Wang,Fengyi Guo,Fuhua Li,Zhigang Liu,Jiabao Kou

Journal

IEEE Transactions on Transportation Electrification

Published Date

2024/4/1

Pantograph-catenary systems are the key equipment for current conduction from power grids to electric locomotives, and within such a system, the property of the slide, especially the contact resistance ( Rj ), directly affects its current collection performance. Compared to previous studies, this paper focuses on the microscopic roughness parameters which affects Rj greatly. The changing rule of Rj under different roughness conditions is studied on 128 groups of data collected from experiments. More importantly, the second-order partial correlation coefficient is introduced to quantify the impact strength of different roughness parameters on Rj . Based on this, a multi-parameter influence model of Rj is established and verified by non-linear fitting. The results show that the impact strength of the relevant roughness parameters is ranked as Rpc > Rp > Rsm . The conclusion provides a theoretical basis for minimizing …

Evolution analysis of wheel polygon wear considering the effect of interharmonics in electrical traction drive system

Authors

Bing Lu,Yang Song,Zhigang Liu,Gongquan Tao,Xufan Wang,Qiao Zhang,Zhixiang Li

Journal

Mechanism and Machine Theory

Published Date

2024/1/1

The formation and development of wheel polygon wear (WPW) present significant challenges to the safety of railway vehicle operations. It is widely accepted that WPW occurs due to the mechanical vibration within the wheel-rail system. The output torque produced by the traction motor acts as the primary power source for the vehicle's movement. The pulsating torque, resulting from interharmonics can directly impact the wheelset's dynamic behavior, contributing to the occurrence of WPW. However, the precise mechanism by which interharmonics affect WPW remains incompletely understood. Therefore, this paper aims to establish the link between interharmonics originating from the electric traction drive system and the wheelset vibration. A comprehensive WPW evolution model that incorporates an electromechanical coupling model and a wheel wear calculation model is developed. This model allows to elucidate …

Active pantograph in high-speed railway: Review, challenges, and applications

Authors

Zhigang Liu,Hui Wang,Hongtian Chen,Xufan Wang,Yang Song,Zhiwei Han

Published Date

2023/12/1

The pantograph–catenary system (PCS) vibration causes the pantograph–catenary contact force (PCCF) to fluctuate, deteriorating current collection quality and damaging the electrical equipment. The active pantograph is one of the most promising methods for suppressing PCS coupling vibration and improving the current collection quality of high-speed trains. This paper first summarizes the research progress of five critical links in the active pantograph, including PCS modeling, control algorithm, hardware support, and HIL test verification. Then, the impact of the PCS model on numerical simulation accuracy and calculation time, the pros and cons of different control algorithms, and the execution mechanism selection are discussed. Finally, the active pantograph’s future development trend and research direction are prospected, such as model optimization, algorithm design, and signal correction. The analysis …

Rapid adaptation for active pantograph control in high-speed railway via deep meta reinforcement learning

Authors

Hui Wang,Zhigang Liu,Zhiwei Han,Yanbo Wu,Derong Liu

Journal

IEEE Transactions on Cybernetics

Published Date

2023/5/12

Active pantograph control is the most promising technique for reducing contact force (CF) fluctuation and improving the train’s current collection quality. Existing solutions, however, suffer from two significant limitations: 1) they are incapable of dealing with the various pantograph types, catenary line operating conditions, changing operating speeds, and contingencies well and 2) it is challenging to implement in practical systems due to the lack of rapid adaptability to a new pantograph-catenary system (PCS) operating conditions and environmental disturbances. In this work, we alleviate these problems by developing a revolutionary context-based deep meta-reinforcement learning (CB-DMRL) algorithm. The proposed CB-DMRL algorithm combines Bayesian optimization (BO) with deep reinforcement learning (DRL), allowing the general agent to adapt to new tasks quickly and efficiently. We evaluated the CB …

Research on distributionally robust optimization method considering the flexibility of power grids along CZ railway

Authors

Jiawei Liu,Min Li,Jing Gou,Wenhao Sun,Qiao Zhang,Zhigang Liu

Journal

Energy Reports

Published Date

2023/3/1

To avoid the problem of insufficient flexibility of the power grid along the cz railway due to source-load fluctuations, a distributionally robust optimization method considering flexibility is proposed in this paper. Firstly, Wasserstein distance is used to establish the uncertainty set of flexibility demand caused by source-load fluctuation, and a risk-cost model of insufficient flexibility is constructed to couple to the objective function. Combined with the flexibility chance constraint, the flexibility over-limit probability is limited to a certain confidence level in the fuzzy set, and a distributionally robust chance constraint optimization model based on Wasserstein distance is established. Then, the proposed model is transformed into a linear programming problem to be solved by dual theory and inner approximation transformation. Finally, a simulation study of the power grid along the CZ railway is carried out to verify the correctness …

Optimization method of power supply mode and connected to external power grid of CZ railway traction station

Authors

Yunling Wang,Jiawei Liu,Jing Gou,Qiao Zhang,Wenhao Sun,Zhigang Liu

Journal

Energy Reports

Published Date

2023/10/1

Aiming at the problem of long slopes and weak power grids along the railway in high altitude mountainous areas, an optimization method of power supply mode and access to external power grid of CZ railway traction station is proposed. First, combined with the terrain and altitude along the railway and the characteristics of the regional power grid, a sample library of the power supply mode and access to external power grid of CZ railway traction station is designed. Secondly, combined with the train operation diagram and line ramp parameters, the full-day periodic load of each power supply arm is simulated. Then, according to the sample library, a “source-net-load” integrated simulation model is constructed in Simulink. Then, the three-phase voltage unbalance evaluation model of the power system is constructed in combination with relevant standards. Finally, the optimal wiring scheme is selected by using the …

Multiple Vehicles and Traction Network Interaction System Stability Analysis and Oscillation Responsibility Identification

Authors

Xiangyu Meng,Qiao Zhang,Zhigang Liu,Guiyang Hu,Fang Liu,Guinan Zhang

Journal

IEEE Transactions on Power Electronics

Published Date

2023/12/27

The electrical incompatibility between vehicles and traction network in railway system can result in system instability and oscillation overvoltage issues. To analyze the system stability, impedance-based frequency-domain methods are commonly used. However, the current impedance-based modeling methods face challenges in practical implementation due to the requirement of precise analytical models and detailed internal parameters for all vehicles. Moreover, multiple vehicles operate simultaneously in railway systems, each with different operating conditions and internal parameters, thereby influencing system stability to different extents. Therefore, it is crucial to accurately identify the critical vehicles to prevent resonance accidents. To address these challenges, a component connection-based modeling approach for the railway vehicle-grid system is proposed, which only requires the measured impedance …

Overview of Catenary Detection of Electrified Railways

Authors

Zhigang Liu,Wenqiang Liu,Junping Zhong

Published Date

2023/4/11

The high-speed railway catenary system, which mainly consists of support devices and suspension devices, is an important part of the high-speed railway and is responsible for providing stable electrical energy for the operation of the train.

Contrastive learning-based bayes-adaptive meta-reinforcement learning for active pantograph control in high-speed railways

Authors

Hui Wang,Zhiwei Han,Xufan Wang,Yanbo Wu,Zhigang Liu

Journal

IEEE Transactions on Transportation Electrification

Published Date

2023/7/7

The fluctuation of pantograph-catenary contact force seriously affects the current collection quality, maintenance cost, and operation safety of high-speed trains. In recent years, agents developed with deep reinforcement learning (DRL) technology have achieved significant success. However, most of these jobs are restricted to narrow task distributions and stationary environments, which require a large amount of training data and cannot adapt quickly to the new task. We propose a Contrastive Learning-based Bayes-Adaptive Meta-Reinforcement Learning (CBAMRL) algorithm that addresses these limitations, enabling agents to learn new skills from a few transitions and adapt to the new environment. We first introduce a Bayes-Adaptive training strategy, achieving zero-shot adaptation in non-stationary environments with high sample efficiency and competitive asymptotic performance. We proposed a contrastive …

An improved passivity‐based control for suppressing the traction motor torque ripples due to traction network voltage fluctuation in high‐speed railways

Authors

Wenqing Zhao,Bing Lu,Zhigang Liu,Guinan Zhang

Journal

IET Power Electronics

Published Date

2023/11

When the voltage fluctuation of the traction network occurs in high‐speed railways, the interharmonics in the grid‐side voltage will propagate to the traction motor, which results in the motor torque ripple of running trains. The ripple can cause abnormal vibrations of key train components and even influence train operation safety. However, the traditional proportional‐integral controller used in the inverter‐motor system has a weak anti‐interference capability when facing nonlinear disturbances. This paper proposes an improved passivity‐based control (IPBC) to suppress the impact of interharmonics on trains. First, the Euler‐Lagrange mathematical model of the traction inverter‐motor system is established. Then, the PBC for this system is designed by damping injection, ensuring the asymptotic stability of the system. Furthermore, to purposely suppress the impact of the periodic disturbance on the system, a repetitive …

Robust fuzzy stabilization control for the traction converters in high-speed train

Authors

Ibrahim Adamu Tasiu,Haoyu Wang,Zhigang Liu,Yougang Zhang,Qiao Zhang,Xiangyu Meng,Wenqing Zhao

Journal

Control Engineering Practice

Published Date

2023/3/1

High-speed railways have quickly gained popularity as an environmentally beneficial mode of transportation. In addition, converters and electric motors are becoming more widely used. However, power converters and motors can act as constant power loads when tightly controlled, making the source converters unstable. In this article, robust fuzzy control is proposed for stabilizing power electronic converters feeding a constant power load in a high-speed train. The negative incremental resistance characteristics of the trains are first investigated. Then, utilizing the Takagi–Sugeno fuzzy model and the parallel distributed compensation approach, a robust stabilizing controller is constructed to ensure asymptotic descent of the dynamic system state trajectories toward the equilibrium position. Moreover, using linear matrix inequalities, the intended control gain can be automatically computed. The critical adjustment time …

考虑高铁负荷和风光不确定性的输电网规划方法研究

Authors

苟竞, 刘方, 刘嘉蔚, 孙文浩, 张乔, 刘志刚

Journal

电力系统保护与控制

Published Date

2023/4/24

为对复杂山区含高铁负荷和风光电站的输电网进行合理规划, 提出了考虑高铁负荷和风光不确定性的输电网随机规划方法. 首先, 对具有间歇性和冲击性的高铁负荷, 通过拉普拉斯混合模型结合二项分布对其进行建模. 其次, 针对直流随机潮流不能计及电压分布, 而交流随机潮流模型较为复杂的问题, 以解耦线性潮流计算为基础, 提出一种基于解耦线性化的半不变量随机潮流计算方法, 并基于此构建考虑电压偏差的输电网规划模型. 然后, 针对输电网规划求解问题中决策变量维度高, 约束复杂的特性, 通过自适应地动态调整进化过程中交叉, 变异概率对遗传算法进行改进. 最后, 对某高海拔山区铁路沿线电网进行仿真研究, 验证了本模型和求解算法的正确性与有效性.

LLD-MFCOS: A Multi-scale Anchor-Free Detector Based on Label Localization Distillation for Wheelset Tread Defect Detection

Authors

Haonan Yang,Jing He,Zhigang Liu,Changfan Zhang

Journal

IEEE Transactions on Instrumentation and Measurement

Published Date

2023/9/18

Wheelset surface defect detection is an important aspect of train safety maintenance. However, due to the constraints of low industrial computing power, multiscale defects, and complex backgrounds, conventional defect detection methods are difficult to fully exploit their detection performance. To solve the above issues, we proposed a novel multiscale anchor-free detector based on a label localization distillation strategy, called LLD-MFCOS. In the proposed method, we designed a cross-layer refined feature pyramid network (CR-FPN) for the multiscale problem of tread defects. It integrates and allocates the multilevel features in the backbone network to the lateral connection of feature pyramid network (FPN) to improve the ability of multiscale feature extraction. To weaken the influence of complex background, a newly designed hybrid nonlocal (HNL) module, which is obtained by extending the channel pipeline in …

See List of Professors in Zhigang Liu University(Southwest Jiaotong University)

Zhigang Liu FAQs

What is Zhigang Liu's h-index at Southwest Jiaotong University?

The h-index of Zhigang Liu has been 37 since 2020 and 41 in total.

What are Zhigang Liu's top articles?

The articles with the titles of

2-DOF Internal Model Direct Power Control Scheme Based on H∞ Theory for Dual Traction Rectifiers with Parameter Perturbations

Optimization of Railway Pantograph-Catenary Systems for Over 350 km/h Based on an Experimentally Validated Model

An Optimized dq-Frame Admittance Modeling Method for Single-Phase Railway Vehicle-grid System Considering the Impact of Asymmetric αβ Control

Adaptive Subband Forward Blind Source Separation Algorithms based on Kalman Mechanism

Suppression of Railway Catenary Galloping Based on Structural Parameters’ Optimization

Low-Frequency Stability Analysis of Train-Grid System: A Perspective from DAB Converter

Proceedings of the 6th International Conference on Electrical Engineering and Information Technologies for Rail Transportation (EITRT) 2023: Safety Assurance and Operation …

Influence of Surface Roughness of Sliding Friction Pairs on Pantograph-Catenary Contact Resistance

...

are the top articles of Zhigang Liu at Southwest Jiaotong University.

What are Zhigang Liu's research interests?

The research interests of Zhigang Liu are: Power System, Traction Power, Railway Engineering

What is Zhigang Liu's total number of citations?

Zhigang Liu has 8,415 citations in total.

What are the co-authors of Zhigang Liu?

The co-authors of Zhigang Liu are Frede Blaabjerg, H Ouyang (full professor), Lamine Mili, Junbo Zhao, Francesco Iannuzzo, Alfredo Núñez Vicencio.

    Co-Authors

    H-index: 197
    Frede Blaabjerg

    Frede Blaabjerg

    Aalborg Universitet

    H-index: 55
    H Ouyang (full professor)

    H Ouyang (full professor)

    University of Liverpool

    H-index: 54
    Lamine Mili

    Lamine Mili

    Virginia Polytechnic Institute and State University

    H-index: 46
    Junbo Zhao

    Junbo Zhao

    Mississippi State University

    H-index: 35
    Francesco Iannuzzo

    Francesco Iannuzzo

    Aalborg Universitet

    H-index: 35
    Alfredo Núñez Vicencio

    Alfredo Núñez Vicencio

    Technische Universiteit Delft

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