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第35届中国控制会议

作者： XU Zhaoqing PEI Hailong College of Automation Science and Engineering Key Laboratory of Autonomous System and Networked ControlMinistry of EducationSouth China University of Technology

ISBN: (纸本)9781509009107

In order to simulate the in-orbit movement of formation satellites,the unmanned helicopter is utilized to set up the microgravity environment relative navigation ground simulation *** platform can provide the movement of six degrees of freedom and can simulate the formation satellite flying in three-dimensional *** test platform includes host computer system,communication system,UAVs formation control system,satellite attitude simulation system,and so *** are equipped with laser radar and visible light *** control and navigation of multi-body can be achieved under complex network *** platform can be used for the test of satellite autonomous formation simulation,joint fleet navigation,and so *** algorithm of multi-body formation,multi-source and multi-target tracking based on sensor network,multi-body navigation and remote control can be verified on this platform.

关键词： formation satellites unmanned helicopter test platform

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An online identification method for small unmanned helicopter base on TVARMA model

An online identification method for small unmanned helicopte...

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2016 International Conference on Advanced Robotics and Mechatronics, ICARM 2016

作者： Liu, Zun Long, Pei Hai South China University of Technology Key Laboratory of Autonomous System and Networked Control Ministry of Education Guangzhou China

ISBN: (纸本)9781509033645

This paper establishes an online identification algorithm which can provide the model status in real time base on TVARMA model for small unmanned helicopter. First, the TVARMA model used for describing the small unmanned helicopter is shown. After that, a recursive algorithm is elaborated to solve the parameters in the TVARMA model. Then a flight experiment data is used to identify the TVARMA model as an example, analysis and compare are made in the end to prove that the TVARMA model is accurate and this identification method is also effective. © 2016 IEEE.

关键词： Helicopters

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A comparative study of two data reduction methods for steel classification based on LIBS

A comparative study of two data reduction methods for steel ...

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International Conference on Machine Tool Technology and Mechatronics Engineering, ICMTTME 2014

作者： Kong, Hai Yang Sun, Lan Xiang Hu, Jing Tao Xin, Yong Cong, Zhi Bo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China University of Chinese Academy of Sciences Beijing China CAS Key Laboratory of Networked Control System Shenyang China

ISBN: (纸本)9783038352464

Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel classification. Two methods were used to reduce dimensions: the first is to select characteristic lines of elements contained in the samples manually and the second is to do principal component analysis (PCA) of original spectra. Then the data after reducing dimensions was used as the input of artificial neural networks (ANN) to classify steel samples. The results show that, the better result can be achieved by selecting peak lines manually, but this solution needs much priori knowledge and wastes much time. The principal components (PCs) of original spectra were utilized as the input of artificial neural networks can also attain a good result nevertheless and this method can be developed into an automatic solution without any priori knowledge. © (2014) Trans Tech Publications, Switzerland.

关键词： Neural networks

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A novel fault classification method based on neural network in smart grid

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International Journal of Electrical Engineering 2018年第1期25卷 1-7页

作者： Zhang, Tong Sun, Lanxiang Liu, Jianchang Yu, Haibin College of Information Science and Engineering Northeastern University Shenyang China State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China Key Laboratory of Networked Control System CAS Shenyang China University of Chinese Academy of Sciences Beijing China

This paper presents a back propagation (BP) neural network method to identify fault types and phases in the smart grid with renewable sources. A fault classification method based on the BP neural network is used to identify patterns of voltage and current measured with phasor measurement unit (PMU). The voltage and current values are decomposed, and then they are used as the input matrix of the BP neural network, which identifies the fault type and fault phasor. All the common short-circuit faults occurred are analyzed, BP neural network method is proposed for fault classification in a power active distribution network. Simulation results show feasibility and usefulness of the BP neural network method, which provides good classification performances.

关键词： Smart power grids

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25%-Efficiency flexible perovskite solar cells via controllable growth of SnO_(2)

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iEnergy 2024年第1期3卷 39-45页

作者： Ningyu Ren Liguo Tan Minghao Li Junjie Zhou Yiran Ye Boxin Jiao Liming Ding Chenyi Yi State Key Laboratory of Power System Operation and Control Department of Electrical EngineeringTsinghua UniversityBeijing 100084China Center for Excellence in Nanoscience(CAS) Key Laboratory of Nanosystem and Hierarchical Fabrication(CAS)National Center for Nanoscience and TechnologyBeijing 100190China

High power conversion efficiency(PCE)flexible perovskite solar cells(FPSCs)are highly desired power sources for aerospace crafts and flexible ***,their PCEs still lag far behind their rigid ***,we report a high PCE FPSC by controllable growth of a SnO_(2)electron transport layer through constant pH chemical bath deposition(CBD).The application of SnSO_(4)as tin source enables us to perform CBD without strong acid,which in turn makes it applicable to acid-sensitive flexible indium tin ***,a mild and controllable growth environment leads to uniform particle growth and dense SnO_(2)deposition with full coverage and reproducibility,resulting in a record PCE of up to 25.09%(certified 24.90%)for FPSCs to *** as-fabricated FPSCs exhibited high durability,maintaining over 90% of their initial PCE after 10000 bending cycles.

关键词： Flexible perovskite solar cells chemical bath deposition SnO_(2) electron transport layer

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A dynamic co-evolution compact genetic algorithm for E/T problem

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IFAC-PapersOnLine 2015年第28期48卷 1439-1443页

作者： Han, Zhonghua Zhu, Yihang Lin, Shuo Faculty of Information and Control Engineering Shenyang Jianzhu University Department of Digital Factory Shenyang Institute of Automation Key Laboratory of networked control system Shenyang China Faculty of Information and Control Engineering Shenyang Jianzhu University Shenyang China

In this paper, a dynamic co-evolution compact genetic algorithm (DCCGA) is proposed for flexible flow shop scheduling problem (FFSP) to minimize the total earliness and tardiness (E/T) penalties. In this new algorithm, a dynamic co-evolution mechanism containing two probabilistic models and a best individual inheritance strategy are integrated into the compact genetic algorithm (CGA). For improving the stability of the evolutionary trend in the evolution processes, the diversity of evolution trend and the convergence speed. Lastly, the experimental results show that, DCCGA outperforms CGA by 11.74% on the problem we study. © 2015

关键词： Genetic algorithms Machine shop practice Co evolution Compact genetic algorithm Earliness tardiness Flexible flow shop Probabilistic models

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A multimedia streaming system with self-healing infrastructure

A multimedia streaming system with self-healing infrastructu...

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2010 2nd IEEE International Conference on Information Management and Engineering, ICIME 2010

作者： Zimian, Li Ming, Zhu Jun, Li Key Laboratory of Network Communication System and Control USTC CAS Hefei Anhui 230027 China Anhui Key Laboratory of Network Communication System and Control USTC Hefei Anhui 230027 China

ISBN: (纸本)9781424452644

This paper proposes a feedback-loop infrastructure attached to our legacy multimedia streaming system to continually monitor its activities and performance and rapidly recover the system from failures or error states. Our infrastructure consists of four components: monitors with sensors to measure and record the activities and state of among the components of the running system, analyzer to interpret and abstract the logged data, planner to decide what action to take for reported situations and executants to adjust and reconfigure the system via effectors. An event-based schema is proposed to efficiently deliver recorded system information among our infrastructure components. We summarize our successful examples using this approach in dynamically self-healing for our streaming application. © 2010 IEEE.

关键词： Feedback

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Clustering-Based Self-learning Approach for Security Rules in Industrial Communication Protocol

Clustering-Based Self-learning Approach for Security Rules i...

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International Conference on Mechatronics and Intelligent Robotics, ICMIR 2017

作者： Wan, Ming Shang, Wenli Zeng, Peng Key Laboratory of Networked Control System Chinese Academy of Sciences Shenyang Institute of Automation Chinese Academy of Sciences Shenyang China

ISBN: (纸本)9783319659770

Modbus/TCP, which is a widely used industrial communication protocol, has serious security flaws because of its openness and simplicity, and developing security mechanisms based on Modbus/TCP is very hot topic. However, it is an onerous task to set rules manually for these security mechanisms. In this paper, we propose a clustering-based self-learning approach for security rules to facilitate the rule setting when carrying out the Modbus/TCP defense. Furthermore, our approach analyzes the address information from Modbus/TCP packets in depth, and automatically learns the address range setting in the white-listing rules by using the K-means algorithm. Our experimental results show that, the proposed approach is very available and effective to generate the white-listing rules for Modbus/TCP. © 2018, Springer International Publishing AG.

关键词： K-means clustering

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Simulation model of induction motor based on LabVIEW

Simulation model of induction motor based on LabVIEW

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International Workshop on Intelligent Networks and Intelligent systems (ICINIS)

作者： Qianxiang, Li Jingtao, Hu Liaoning Key Laboratory of Industrial Communication and Control System Shenyang Institute of Automation CAS Shenyang China

ISBN: (纸本)9780769542492

The state equation for induction motor in the two stationary coordinates was developed. A dynamic model of induction motor was established based on the graphical programming environment of LabVIEW, The corrective and effectiveness of motor model based on LabVIEW are verified with a simulation experiment. At the same time, the static model of induction motor was established to get the motor steady state performance. © 2010 IEEE.

关键词： Induction motors

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Quantitative analysis of steels using PLS with three data reduction methods based on LIBS

Quantitative analysis of steels using PLS with three data re...

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3rd International Conference on Chemical Engineering, Metallurgical Engineering and Metallic Materials, CMMM 2014

作者： Kong, Hai Yang Sun, Lan Xiang Hu, Jing Tao Xin, Yong Cong, Zhi Bo Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China University of Chinese Academy of Sciences Beijing 100049 China CAS Key Laboratory of Networked Control System Shenyang 110016 China

ISBN: (纸本)9783038351900

Three methods, selecting characteristic lines of elements contained in the samples manually, selecting intensive spectral partitions manually and the whole spectra, were used to reduce dimensions of spectra of 27 steel samples acquired by Laser-Induced Breakdown Spectroscopy. The PLS models were built based on the data after dimension reduction to quantify the Mn concentration of samples. The results show that, PLS model built based on selecting intensive spectral partitions can achieve the best result with the least complexity and the highest generalization ability. Selecting intensive partitions is a promising solution to reduce dimensions for original spectra. © (2014) Trans Tech Publications, Switzerland.

关键词： Least squares approximations

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