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Study on Distributed Knowledge Dynamic Integration and Fusion of Flexible R&D Platform for Solar Concentration Photovoltaic System

Study on Distributed Knowledge Dynamic Integration and Fusio...

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2011 Fourth International Conference on Intelligent Computation technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

作者： Xiaoli Xu Qiushuang Liu Key Laboratory of Modern Measurement & Control Technology (Ministry of Education) Beijing Informatio School of Mechanical Engineering Beijing Institute of Technology Beijing China

In order to conduct in-depth study of flexible R&D platform for solar concentration photovoltaic system, the author proposes the design method for flexible R&D platform for solar concentration photovoltaic system based on ontology and knowledge fusion. This paper explains the integration concept of flexible R&D platform, explores the way of acquiring and expressing multi-source knowledge for solar concentration photovoltaic system design, and further studies the key technologies and realization way for solar concentration photovoltaic system design based on multi-source knowledge fusion.

关键词： concentrator photovoltaic system systematic flexible integration Know ledge fusio

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The Research on the Flexible Integrated Research Platform of the Solar Energy Photovoltaic System

The Research on the Flexible Integrated Research Platform of...

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The 2010 International Conference on Manufacturing Science and Materials Engineering(ICMSME 2011)

作者： Qiushuang Liu Xiaoli Xu School of Mechanical Engineering Beijing Institute of Technology Key Laboratory of Modern Measurement & Control Technology (Ministry of Education) Beijing Information Science & Technology University

On the basis of the general technology, high-tech, vast varieties and small-lot of the solar energy photovoltaic system, this paper comes up with the research conception of optical, mechanical and electronic integration and builds the optical, mechanical and electronic integration systemIt also brings forward the design methodology and the integrated mechanism of the instant systematic integration based on the flexible interconnection, which leads to the building of the basic experimental and research environment of the automatic integrated designThe application of this new technology is based on the research of the highly-efficient Concentrator Photovoltaic SystemIt noticeably improves the technical level as well as the research efficiency.

关键词： systematic flexible integration,electromechanical integration,concentrator photovoltaic system

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Fault feature extraction based on optimal energy using lifting wavelet packet

Fault feature extraction based on optimal energy using lifti...

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International Conference on Information Science and technology (ICIST)

作者： Xiaoli Xu Tao Chen Shaohong Wang Key Laboratory of Modern Measurement & Control Technology Beijing Information Science and Technology University Beijing China School of Mechanical Engineering Beijing Institute of Technology Beijing China

Fault prediction is the key technology to guarantee the safe operation of large mechanical equipment,and fault feature extraction is a key issue in fault prediction. To extract fault feature from the non-stationary fault signals, this paper proposed a fault feature extraction method using lifting wavelet packet, and constructed the fault feature vector of optimal energy. The fault feature extraction analysis shows that the proposed method can highlight the energy change within the optimal decomposition frequency band, and effectively reflect the fault status.

关键词： Wavelet packets Feature extraction Wavelet analysis Turbines Frequency conversion

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Method for Diagnosing Photovoltaic Array Fault in Solar Photovoltaic System

Method for Diagnosing Photovoltaic Array Fault in Solar Phot...

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IEEE PES Asia-Pacific Power and Energy Engineering Conference (APPEEC)

作者： Xiaoli Xu Huan Wang Yunbo Zuo Key Laboratory of Modern Measurement & Control Technology Beijing Information Science & Technology University Beijing China School of Mechanical Engineering Beijing Institute of Technology Beijing China

Solar photovoltaic(PV) array power generation, as a utilization form of solar energy, has been widely applied in solar generator systems throughout the world. Effective guarantee of PV array normal power generation, rapid and accurate detection of fault location and the prediction of fault occurrence are of great significance. This paper, based on the analysis of solar photovoltaic power generation performance, raises new voltage and current detection method. The original current and voltage detection method can not distinguish the environmental factors which causes the decrease in power generation capacity. This new test method can overcome such defect, and can accurately judge the location where cell array fault occurs; this technology is very important to safe and reliable operation of solar photovoltaic generation system and the improvement of power generation efficiency.

关键词： Arrays Photovoltaic systems Current measurement Photovoltaic cells Voltage measurement

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Adaptive sliding mode control of electromechanical actuator with improved parameter estimation

Adaptive sliding mode control of electromechanical actuator ...

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Asian control Conference

作者： Hao Li Yongqiang Bai Zhong Su School of Automation Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

An adaptive sliding mode control scheme for electromechanical actuator has been presented. The adaptive control strategy can estimate the uncertain parameters and adaptively compensate the modeled dynamical uncertainties, while the sliding mode control method overcomes the unmodelled dynamics. In the adaptive law an equivalent output injection of the sliding mode observer which contains the parameter estimation error is used, and estimates of parameters can approximate the true values without prediction-error that is typically used in compositive adaptive law. Due to the improved estimation of uncertain parameters, the sliding mode law can robustifies the design against model uncertainties with a small swithcing gain. Stability of the system with the proposed approach has been proved and it has also been shown that the system states can reach the sliding mode in finite time. Finally, the effectiveness of the proposed control scheme has been exhibited via simulation examples.

关键词： Parameter estimation Sliding mode control Actuators Aerodynamics Robustness Adaptive control Uncertainty

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IFDS operation mechanism and its implementation

IFDS operation mechanism and its implementation

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International Conference on Mechanic Automation and control Engineering (MACE)

作者： Qiushuang Liu Xiaoli Xu School of Mechanical Engineering Beijing Institute of Technology Beijing China Key Laboratory of Modern Measurement & Control Technology (Ministry of Education) Beijing Information Science and Technology University Beijing China

In order to deal better with the changeful market demand, based on IFDS for modern instrument manufacturing, people make researches on the product family and the operation mechanism of IFDS. In the design process, first, people determine the variants of products through grid dividing markets; and then find main related design parameters in the product family. In order to establish flexible product platform, people have to find out the core structure of a product and refine its public module and flexible module by the aid of IFDS operation mechanism; and finally add specific elements to the platform. In the end, the author takes the development of the product family of concentrator solar energy system for example to prove the effectiveness of this method.

关键词： Instruments Solar energy Photovoltaic systems Manufacturing Integrated optics Product design

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PCA-AR based Fault Prognosis for Turbine Machine

PCA-AR based Fault Prognosis for Turbine Machine

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2011 IEEE International Conference Mechatronics and Automation(2011 IEEE机电一体化与自动化国际会议)

作者： Qiuyan Wang Jie Ma Xiaoli Xu Department of Automation Beijing Information Science and Technology University Beijing 100192 China Key Laboratory of Modern Measurement & Control Ministry of Education Beijing Information Science and

In this paper, a multivariate fault prognosis approach based on statistical process monitoring (SPM) methods and time series prediction for turbine machine was proposed. A principal component analysis (PCA) model using sample data under normal state was built Firstly, fault is detected by squared prediction error (SPE) index, then predicted by AR model. With development of fault process, the SPE will produce a corresponding change and carry important fault information , so calculate statistics of SPE can be characterized and predict the trend of fault and level. A case study on the huge stack gas turbine shows the efficiency of the proposed approach.

关键词： fault prognosis statistical process monitoring principal component analysis squared prediction error AR model

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The Wireless Sensor Network Construction of the Photovoltaic Power System Zig Bee

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Procedia Engineering 2011年 15卷 2511-2515页

作者： Xu Xiaoli Wang Huan Key Laboratory of Modern Measurement & Control Technology (Beijing Information Science & Technology University) Ministry of Education 12 East Qinghexiaoying streetBeiJing 100192 P. R. China Beijing Institute of Technology 5 South Zhongguancun Street Haidian District Beijing 100081 P. R. China

Solar photovoltaic power generation is a way to utilize the solar energy. Power station monitoring system is ought to be established to maintain the safe and reliable operation of the photovoltaic system and to detect and solve the malfunctions promptly. The monitoring data of the photovoltaic power monitoring system is composed of environmental data, the related data of photovoltaic battery array and relevant data of inverter. The collection, preprocessing and wireless transmission of data are done by ZigBee, the wireless sensor network. The wireless network panel point of ZigBee is divided into FFD (Full Function Device) and RFD (Reduced Function Device), each of which has its own functions. It can conveniently collect surrounding environment information and status data of photovoltaic power on unattended conditions by ZigBee.

关键词： Photovoltaic Power Generation ZigBee RFD FFD

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Research on high speed sprag overrunning clutch

Research on high speed sprag overrunning clutch

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International Conference on Mechanic Automation and control Engineering (MACE)

作者： Chunmei Zhu Wei Kong Xiaoli Xu School of Mechanical and Electrical Engineering Beijing Information Science and Technology University Beijing China Beijing Xinxing Overrunning Clutch Co. LTD No.88 Gonghuangcheng Street Shahe Changping Dist China Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing China

The sprag overrunning clutch is an important functional unit of electro-mechanical transmission system. The defects of the overrunning clutch in traditional cage structure, such as sprag easily to roll over, large wear and poor manufacturing process, etc happened under the condition of high rotate speed. On basis of analyzing the traditional structure of cage, the main parts structure, working principle and characteristics of new-type high-speed cage structure sprag overrunning clutch have been described, and the work performance of the new overrunning clutch has been tested.

关键词： Shape Torque Reliability Resistance Companies Employee welfare Manufacturing

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Support vector machine filtering for MEMS gyroscope

Support vector machine filtering for MEMS gyroscope

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3rd International Symposium on Test Automation and Instrumentation, ISTAI 2010

作者： Yang, Peng Li, Qing Key Laboratory of Modern Measurement and Control Technology University of Beijing Information Science and Technology Beijing 100192 China

ISBN: (纸本)9787510020841

Least squares support vector machine is new methods of classification and regression function in the field of machine learning in recent years. This paper introduces the basic principles and algorithm of least squares support vector machines. Then realize the least squares support vector machines' application in real-time filtering prediction for the gyro's random drift. Through the MATLAB simulation, the results show this method is effective.

关键词： MATLAB

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