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Fault detection method of photovoltaic system based on power change of array 4

Fault detection method of photovoltaic system based on power...

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4th International Conference on Algorithms, Computing and Artificial Intelligence, ACAI 2021

作者： Tan, Chao Li, Chenxi Zhang, Kanjian Wei, Haikun Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing210096 China

ISBN: (纸本)9781450385053

The fault detection of photovoltaic power generation system is of great significance in photovoltaic plant management. The conventional fault detection method of photovoltaic power system requires additional sensors, and the fault detection scheme needs to be redesigned if the parameters of the photovoltaic plant change. Therefore, for large photovoltaic plants, it is necessary to develop a method that does not require the use of external sensors or the detailed parameters of the photovoltaic plant. This paper proposes a photovoltaic system fault detection method based on photovoltaic array current and voltage data. This method does not require additional sensor data such as irradiance and temperature. The failure of photovoltaic system can be detected through the change of power, and the abnormal situation of photovoltaic power station can still be detected under cloudy and shaded conditions. The advantages of this method are that there is no need for complex and diverse sensor equipment, the calculation is simple and the fault detection ability is accurate. The experimental data of Padang Poverty Power Station of State Grid has been verified. © 2021 ACM.

关键词： Fault detection

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An Adaptive Event-Triggered Secondary Regulation Strategy for Microgrids with Loss of Effectiveness Actuator Faults 49

An Adaptive Event-Triggered Secondary Regulation Strategy fo...

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49th Annual Conference of the IEEE Industrial Electronics Society, IECON 2023

作者： Qiu, Xuechao Wang, Xiangyu Niu, Dan Wang, Xiangyu School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9798350331820

In this paper, an adaptive event-triggered secondary regulation strategy is investigated for microgrids with loss of effectiveness actuator faults. In order to deal with unknown loss of effectiveness actuator faults, a distributed secondary regulation strategy is proposed, which achieves voltage and frequency regulations, as well as power sharing. Meanwhile, to save system resources and relieve the communication burden, an adaptive event-triggered mechanism is designed. Finally, some simulation results are given to validate the proposed strategy, which indicates that the proposed strategy reduces the controller updates and increases the reliability of system. © 2023 IEEE.

关键词： Actuators

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Transformer Based Multi-modal Fusion For Place Recognition with Self-attention Mechanism

Transformer Based Multi-modal Fusion For Place Recognition w...

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2022 Chinese automation Congress, CAC 2022

作者： Pan, Yan Yu, Xiang Chang, Zeqing Fang, Fang Zhou, Bo School of Automation Southeast University Ministry of Education The Key Laboratory of Measurement and Control of Complex Systems of Engineering Nanjing210096 China

ISBN: (纸本)9781665465335

Autonomous driving still leaves a challenging task that how to apply the complementary information captured from different sensors, i.e. cameras and LiDAR, to handle place recognition task. In this paper, a brand new pipeline was designed to tackle the retrieval problem with a multi-modal late fusion. The light-weighted convolutional blocks is applied to encode features from images, followed by converting them into pseudo point clouds. Inspired by the progress of the Transformer, the network employs a residual point transformer module to extract feature vectors for 3D points and pseudo point clouds respectively. Finally, the two corresponding local descriptors are fused to get a robust fused global descriptor, which is capable of place recognition task after end-to-end training. Experimental results collected from sequence 00, 02, 05, 06 of KITTI dataset validate that fusing information from two modalities is able to enhance performance. © 2022 IEEE.

关键词： Autonomous vehicles

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Mars Entry Trajectory Tracking Via Constrained Multi-Model Predictive control 33

Mars Entry Trajectory Tracking Via Constrained Multi-Model P...

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第三十三届中国控制会议

作者： WU Chao LI Shihua YANG Jun GUO Lei School of Automation Southeast University & Key Laboratory of Measurement and Control of Complex Systems of EngineeringMinistry of Education School of Automation Science and Electrical Engineering Beihang University & Institute of Instrument Science and Opto-Electronics Engineering

ISBN: (纸本)9781479947249

Tracking law designed for future Mars entry missions is investigated in this article. For precision landing, the nonlinear entry dynamics, complex uncertainties and input saturation constraints are unavoidable problems. Facing these challenges, the Mars entry trajectory tracking scheme via constrained multi-model predictive control(CMPC) is employed. The CMPC is made up of some constrained predictive control(CPC) in different time domain during the Mars entry mission. Each constrained predictive controller consists of a linearized prediction model(obtained by linearizing at different operating point), feedback correction for active model mismatch rejection caused by the complex uncertainties, and constrained rolling optimization for a smooth control input under a saturation constraint. Monte Carlo simulations demonstrate the effectiveness and excellence of the proposed method under the saturation constraint of input and uncertainties of initial state and aerodynamic parameters such as atmospheric density, ballistic coefficient and lift-to-drag ratio.

关键词： Mars Entry,Trajectory Tracking,Constrained Multi-Model Predictive control,Monte Carlo Simulation

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A multi-channel projection haar features method for face detection 32

A multi-channel projection haar features method for face det...

引用

32nd Youth Academic Annual Conference of Chinese Association of automation, YAC 2017

作者： Li, Tianhuang Jian, Dong Yang, Wankou School of Automation Southeast University Nanjing210096 China Key Lab of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing210096 China

ISBN: (纸本)9781538629017

The face detection algorithm based on multi-channel map discriminant projection Haar feature is proposed in this paper. The multi-channel map is extracted from the face image, which can reduce the influence of the illumination and the noise in the image. Based on the positive and negative training samples, the enhanced Haar feature are obtained by the linear discriminant projection, which can improve the distinguishing ability of the feature. The response in multi-channel map of the augmented Haar feature in the training samples is calculated based on the two steps mentioned previously. After that, the non-symmetric quick boosting method is used to generate a set of weak classifiers. The weight and threshold of the strong classifier are adjusted by the linear non symmetric classifier. This method not only improves the distinguishing ability of the feature, but also realizes the reasonable division of the non-balanced positive and negative sample space. The experiment indicates that the detection rate using the proposed method increases compared to the original method, which shows more competitiveness than conventional algorithms on FDDB dataset. © 2017 IEEE.

关键词： Face recognition

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An Adaptive Method based on QRCP Decomposition for Single Sample Problem 33

An Adaptive Method based on QRCP Decomposition for Single Sa...

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第三十三届中国控制会议

作者： HU Changhui LU Xiaobo DU Yijun School of Automation Southeast University Key Laboratory of Measurement and Control of Complex System of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781479947249

In this paper,an adaptive approximation image reconstruction method based on orthogonal triangular with column pivoting(QRCP) decomposition algorithm is proposed for single sample problem in face *** using QRCP the single sample and its transpose are decomposed to two sets of basis *** an adaptive approximation image reconstruction method is proposed to reconstruct two approximation images from the two basis image sets *** single training sample and its two approximation images of each object form a new training set,which can make the fisher linear discriminant analysis(FLDA) be applied to single sample problem in face *** performance of the proposed method is verified on Yale,FERET,and ORL face *** experimental results indicate that the proposed method is efficient and outperforms some existing methods which are proposed to overcome the single sample problem.

关键词： Face recognition,single sample problem,orthogonal triangular decomposition with column pivoting,adaptive approximation image reconstruction method

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AST: Annulus Swin Transformer For Pedestrians Detection Under Top-view Fisheye Image 12

AST: Annulus Swin Transformer For Pedestrians Detection Unde...

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12th International Conference on Computing and Pattern Recognition, ICCPR 2023

作者： Lu, Cheng Wei, Xuan Lu, Xiaobo School of Software Engineering Southeast University Suzhou China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Suzhou China School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

ISBN: (纸本)9798400707988

Fisheye images have a larger field of view than ordinary perspective cameras and can obtain more scene information. Therefore, object detection based on top-view fisheye images has wide applications in security monitoring, passenger flow perception, and industrial detection fields. However, due to the radial distortion symmetry of fisheye images, most current networks still need to adapt to this radial distortion symmetry. Therefore, we proposed the Annulus Swin Transformer(AST) for top-view fisheye images, which includes Annulus Window (AW) and Annulus Position Coding (APC). Traditional rectangular windows can break the radial distortion symmetry in top-view fisheye images, instead of taking advantage of it to improve the network's perception of distortion. Annulus-Window transforms it into an inner-to-outer annulus window to calculate self-attention, thereby maintaining the distortion symmetry of the fisheye image within each window, allowing the network to perceive better the degree of distortion in the fisheye image and get better detection performance. Due to the varying degree of distortion of images within each annulus, APC introduces an annulus position to work with Annulus window based on the original position encoding, enabling it to contain annulus position information. The experimental results on the dataset SEU-fisheye show that our method improves the neural network's performance markedly. © 2023 ACM.

关键词： Image enhancement

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Exact regulation for disturbed nonlinear systems with unfixe output and uncontrollable/unobservable linearisations 29

Exact regulation for disturbed nonlinear systems with unfixe...

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第29届中国控制与决策会议

作者： Chuanlin Zhang Pengfei Song Jun Yang Xitong Niu College of Automation Engineering Shanghai University of Electric Power Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationSoutheast University

ISBN: (纸本)9781509046584

The problem of exact regulation control for a class of disturbed higher-order nonlinear systems with unfixe single output and uncontrollable/unobservable linearisations is investigated in this paper.A general composite controller is proposed by integrating the homogeneous domination technique with an observation process of the unmatched *** a recursive design procedure and a delicate way of handling the non-vanishing nonlinearities,it is shown that unmatched disturbances in every channel can be compensated in a series of composite virtual controllers design while any state assigned as the system output can be regulated to exact tracking its desired value.A rigorous Lyapunov function based stability analysis and numerical simulations assure the effectiveness of the proposed strategy.

关键词： Lyapunov Exact regulation for disturbed nonlinear systems with unfixe output and uncontrollable/unobservable linearisations

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An effective vehicle logo recognition method for road surveillance images 2

An effective vehicle logo recognition method for road survei...

引用

2nd IEEE International Conference on Computer and Communications, ICCC 2016

作者： Chen, Cong Lu, Xiaobo Shengqin, Jiang Jiaji, Song School of Automation Southeast University Nanjing China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Nanjing China

ISBN: (纸本)9781467390262

In this paper, an improved vehicle logo recognition method is proposed for detecting and recognizing logo in images captured by road surveillance cameras. Firstly, a feature-match based symmetry detection algorithm is adopted for detecting symmetric axis in the image and rotating the image. Then a learning-based License Plate Localization (LPL) approach and a coarse logo location algorithm by using prior knowledge are used to obtain a coarse logo region. Moreover, a new vehicle logo location method based on Gabor Filters is put forward in order to localize the exact region of logo. In addition, two features - Pyramid of Histograms of Orientation Gradients (PHOG) and Multi-scale Block Local Ternary Patterns (MB-LTP) are combined to recognize the vehicle logo. At last, experimental results on a large number of images validate the robustness and efficiency of the proposed algorithm. © 2016 IEEE.

关键词： Gabor filters

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NNDOB-based Composite control for Binary Distillation Column Under Disturbances

NNDOB-based Composite Control for Binary Distillation Column...

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第三十二届中国控制会议

作者： LI Juan CHEN Xisong LI Shihua YANG Jun ZHOU Jiancheng School of Automation Southeast University Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of EducationP.R.China School of Chemistry and Chemical Engineering Southeast University

ISBN: (纸本)9781479900305

This paper presents a composite disturbance rejection control strategy for high purity binary distillation column with complex characteristics,such as couplings,non-minimum phase,model mismatches and external *** goal of the controller is to get the desired top and bottom compositions in presence of both model mismatches and external *** composite controller includes neural network inverse controller(NNIC) and neural network disturbance observer(NNDOB) both using radial basis fimction network(RBFN).The inverse model of the system is identified by RBFN,whose stability is proved via the Lyapunov fimction *** a rigorous analysis is also given to show why the NNDOB can effectively suppress the *** of the proposed scheme is compared with PID and NNIC schemes in two *** feasibility, effectiveness and disturbance rejection property of the proposed method are demonstrated by the simulation studies.

关键词： Composite controller Disturbance Rejection Neural Network Disturbance Observer Binary Distillation Column.

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