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Multilevel Feature Moving Average Ratio Method for Fault Diagnosis of the Microgrid Inverter Switch

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IEEE/CAA Journal of Automatica Sinica 2017年第2期4卷 177-185页

作者： Zhanjun Huang Zhanshan Wang huaguang zhang College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries IEEE

Multilevel feature moving average ratio method is proposed to realize an open-switch fault diagnosis for any switch of the microgrid inverter. The main steps of the proposed method include multilevel signal decomposition, coefficient reconstruction, absolute average ratio process and artificial neural network U+0028 ANN U+0029 classification. Specifically, multilevel signal decomposition is realized by using the means of multi resolution analysis to obtain the different frequency band coefficients of the three-phase current signal. The related coefficient reconstruction is executed to achieve signals decomposition in different levels. Furthermore, according to the obtained data, the absolute average ratio process is used to extract absolute moving average ratio of signal decomposition in different levels for the three-phase current. Finally, to intelligently classify the inverter switch fault and realize the adaptive ability, the ANN technology is applied. Compared to conventional fault diagnosis methods, the proposed method can accurately detect and locate the open-switch fault for any location of the microgrid inverter. Additionally, it need not set related threshold of algorithm and does not require normalization process, which is relatively easy to implement. The effectiveness of the proposed fault diagnosis method is demonstrated through detailed simulation results. © 2017 Chinese Association of Automation.

关键词： Deep neural networks Electric inverters Failure analysis Frequency bands Neural networks Signal distortion Signal processing

Fully distributed dynamic event-triggered formation-containment tracking for multiagent systems with multiple types of disturbances

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Science China(Information Sciences) 2024年第1期67卷 168-186页

作者： Weihua LI huaguang zhang Juan zhang Rui WANG College of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries Northeastern University

This paper is dedicated to addressing the time-varying output formation-containment tracking(TVOFCT) problem for heterogeneous linear multiagent systems(MASs) with multiple types of disturbances under directed communication *** agents are divided into tracking leaders,formation leaders,and *** the output space,the formation leaders are required to form an expected geometric formation while tracking the tracking leader,and the followers are required to enter the convex hull spanned by formation ***,a disturbance observer is designed to observe the disturbance with deterministic ***,by combining adaptive technology with event-triggered technology,an independent fully distributed dynamic event-triggered(FDDET) compensator is designed to estimate the state of the tracking *** main advantages of this compensator lie in the following three aspects:(1) the adaptive weight does not increase unboundedly;(2) the interval time between events is expanded;(3) the design does not rely on any global *** to the design of this compensator,an independent FDDET convex hull observer is further designed to observe the convex hull spanned by formation ***,based on the designed disturbance observer,compensator,and convex hull observer,the adaptive disturbance rejection control input which can make the MASs achieve TVOFCT is ***,a numerical simulation is provided to clearly verify the validity of the theoretical results.

关键词： formation-containment tracking disturbance rejection multiagent systems fully distributed control dynamic event-triggered control

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New delay-dependent criterion for the stability of recurrent neural networks with time-varying delay

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Science in China(Series F) 2009年第6期52卷 942-948页

作者： zhang huaguang WANG ZhanShan School of Information Science and Engineering Northeastern University Shenyang 110004 China

This paper is concerned with the global asymptotic stability of a class of recurrent neural networks with interval time-varying *** constructing a suitable Lyapunov functional, a new criterion is established to ensure the global asymptotic stability of the concerned neural networks, which can be expressed in the form of linear matrix inequality and independent of the size of derivative of time varying *** numerical examples show the effectiveness of the obtained results.

关键词： recurrent neural networks global asymptotic stability linear matrix inequality (LMI) time-varying delay

Passivity-based decentralized stabilization of multi-agent systems with uncertainty and mixed delays

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控制理论与应用（英文版） 2013年第4期11卷 579-585页

作者： Lianzeng MA Xuebo CHEN huaguang zhang School of Information Science and Engineering Northeastern University School of Electronics and Information Engineering University of Science and Technology Liaoning

In this paper, we investigate a decentralized stabilization problem of uncertain multi-agent systems with mixed delays including discrete and distributed time-varying delays based on passivity stability. We design a decentralized state-feedback stabilization scheme such that the family of closed-loop feedback subsystems enjoys the delay-dependent passivity stability for each subsystem. Then, by employing a new Lyapunov-Krasovskii function, a linear matrix inequality （LMI） approach is developed to establish the delay-dependent criteria for the passivity stability of multi-agent systems. The sufficient condition is given for checking the passivity stability. The proposed LMI result is computationally efficient. An example is given to show the effectiveness of the method.

关键词： Multi-agent systems Passivity stability Decentralized stabilization Time-delay systems

Adaptive Containment Control for Fractional-Order Nonlinear Multi-Agent Systems With Time-Varying Parameters

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IEEE/CAA Journal of Automatica Sinica 2022年第9期9卷 1627-1638页

作者： Yang Liu huaguang zhang Yingchun Wang Hongjing Liang the College of Information Science and Engineering Northeastern UniversityShenyang 110004China the State Key Laboratory of Synthetical Automation for Process Industries and also with the School of Information Science and EngineeringNortheastern UniversityShenyang 110004China the School of Automation Engineering University of Electronic Science and Technology of ChinaChengdu 611731China

This paper investigates adaptive containment control for a class of fractional-order multi-agent systems(FOMASs)with time-varying parameters and *** using the bounded estimation method,the difficulty generated by the timevarying parameters and disturbances is *** command filter is introduced to solve the complexity problem inherent in adaptive backstepping ***,in order to eliminate the effect of filter errors,a novel distributed error compensating scheme is constructed,in which only the local information from the neighbor agents is ***,a distributed adaptive containment control scheme for FOMASs is developed based on backstepping to guarantee that the outputs of all the followers are steered to the convex hull spanned by the *** on the extension of Barbalat's lemma to fractional-order integrals,it can be proven that the containment errors and the compensating signals have asymptotic ***,three simulation examples are given to show the feasibility and effectiveness of the proposed control method.

关键词： Adaptive backstepping control command filter fractional-order multi-agent system time-varying parameters

A New Robust Adaptive Neural Network Backstepping Control for Single Machine Infinite Power System With TCSC

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IEEE/CAA Journal of Automatica Sinica 2020年第1期7卷 48-56页

作者： Yanhong Luo Shengnan Zhao Dongsheng Yang huaguang zhang A new robust adaptive neural network backstepping control for single machine infinite power system with TCSC Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004 School of Information Science and Engineering Northeastern UniversityShenyang 110004China

For a single machine infinite power system with thyristor controlled series compensation(TCSC) device, which is affected by system model uncertainties, nonlinear time-delays and external unknown disturbances, we present a robust adaptive backstepping control scheme based on the radial basis function neural network(RBFNN). The RBFNN is introduced to approximate the complex nonlinear function involving uncertainties and external unknown disturbances, and meanwhile a new robust term is constructed to further estimate the system residual error,which removes the requirement of knowing the upper bound of the disturbances and uncertainty terms. The stability analysis of the power system is presented based on the Lyapunov function,which can guarantee the uniform ultimate boundedness(UUB) of all parameters and states of the whole closed-loop system. A comparison is made between the RBFNN-based robust adaptive control and the general backstepping control in the simulation part to verify the effectiveness of the proposed control scheme.

关键词： Backstepping control radial basis function neural network(RBFNN) robust adaptive control thyristor controlled series compensation(TCSC) uniform ultimate boundedness(UUB)

Robust fault detection filter design for a class of time-delay systems via equivalent transformation

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控制理论与应用（英文版） 2013年第1期11卷 54-60页

作者： Jilie zhang huaguang zhang Feisheng YANG Shenquan WANG School of Information Science and Engineering Northeastern University State Key Laboratory of Synthetical Automation for Process Industries (Northeastern University)

This paper is concerned with the robust fault detection filter （RFDF） design for a class of linear time- invariant systems （LTISs） with output state time delays. Although existing results in literatures study the RFDF for time- delay systems, few is concerned with the output state time-delay systems. The basic idea of our study is to eliminate the time delays of system and transform it to a delay-free system （i.e., a linear time-invariant system without time delays） by the bicausal change of coordinates approach. Then, we design the RFDF for the delay-free LTIS, which is equivalent to the original system with time delays. We first introduce a class of systems with output state time delays, whose fault can be detected by using the RFDF design approach for delay-free systems. Then, since the RFDF design problem can be formulated as a standard H-infinity-model matching problem, it is solved by using H-infinity-optimization LMI techniques. In the last, the adaptive threshold of fault detection is chosen and an illustrative design example is used to demonstrate the validity of the design approach.

关键词： Equivalent transformation Robust fault detection filter Output state time-delay system

Bipartite Formation Tracking for Multi-Agent Systems Using Fully Distributed Dynamic Edge-Event-Triggered Protocol

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IEEE/CAA Journal of Automatica Sinica 2022年第5期9卷 847-853,I0002-I0005页

作者： Weihua Li huaguang zhang Yu Zhou Yingchun Wang College of Information Science and Engineering Northeastern UniversityShenyang 110819China State Key Laboratory of Synthetical Automation for Process Industries Northeastern UniversityShenyang 110004 IEEE

In this study,the bipartite time-varying output formation tracking problem for heterogeneous multi-agent systems(MASs)with multiple leaders and switching commu-nication networks is *** that the switching communication networks may be connected or *** address this problem,a novel reduced-dimensional observer-based fully distributed asynchronous dynamic edge-event-triggered output feedback control protocol is developed,and the Zeno behavior is ruled *** theoretical analysis gives the admissible switching frequency and switching width under the proposed control *** from the existing works,the control protocol reduces the dimension of information to be transmitted between neighboring ***,since an additional positive internal dynamic variable is introduced into the triggering functions,the control protocol can guarantee a larger inter-event time interval compared with previous ***,a simulation example is given to verify the effectiveness and performance of the theoretical result.

关键词： Bipartite control dynamic edge-event-triggered control formation tracking multi-agent systems(MASs)

Containment-Based Multiple PCC Voltage Regulation Strategy for Communication Link and Sensor Faults

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2045-2055页

作者： Meina Zhai Qiuye Sun Rui Wang huaguang zhang College of Information Science and Engineering Northeastern UniversityShenyang 110819China IEEE

The distributed AC microgrid(MG) voltage restoration problem has been extensively studied. Still, many existing secondary voltage control strategies neglect the co-regulation of the voltage at the point of common coupling(PCC) in the AC multi-MG system(MMS). When an MMS consists of sub-MGs connected in series, power flow between the sub-MGs is not possible if the PCC voltage regulation relies on traditional consensus control objectives. In addition, communication faults and sensor faults are inevitable in the MMS. Therefore, a resilient voltage regulation strategy based on containment control is ***, the feedback linearization technique allows us to deal with the nonlinear distributed generation(DG) dynamics, where the PCC regulation problem of an AC MG is transformed into an output feedback tracking problem for a linear multi-agent system(MAS) containing nonlinear dynamics. This process is an indispensable pre-processing in control algorithm design. Moreover, considering the unavailability of full-state measurements and the potential faults present in the sensors, a novel follower observer is designed to handle communication faults. Based on this, a controller based on containment control is designed to achieve voltage regulation. In regulating multiple PCC voltages to a reasonable upper and lower limit, a voltage difference exists between sub-MGs to achieve power flow. In addition, the secondary control algorithm avoids using global information of directed communication network and fault boundaries for communication link and sensor faults. Finally, the simulation results verify the performance of the proposed strategy.

关键词： Communication link faults directed graph fully distributed control voltage regulation control