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第四届国际自动化测试与仪器仪表学术会议

作者： Zhao Lianyi Xu Baojie Tong Liang Beijing Key Laboratory Measurement and Control of Mechanical and Electrical System School of Mechanical and Electrical EngineeringBeijing Information Science and Technology University

In view of the current domestic glass production enterprise which is lack of method to detect glass stones,cracks and other important defects,an online detection system for glass defect based on support vector machine is proposed in the *** paper is based on the research of image processing,feature extraction and pattern *** using of object-oriented Visual c + + 6.0 programming tools,and combined with OpenCV computer vision library,this system can realize glass defect on-line detection and *** successful rate for the defect inspection of the system can reach over 95%.

关键词： glass defect support vector machine online detection OpenCV

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An Improved Method for Phase Extraction Based on Gray Extremum

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Procedia Engineering 2012年 29卷 2355-2359页

作者： Xiu Qin Xiaoping Lou Naiguang Lv Peng Sun School of Photoelectronic Information & Communication Engineering Beijing Information Science & Technology University Beijing 100192 China Beijing Key Laboratory on Measurement and Control of Mechanical and Electrical System Beijing Information Science & Technology University Beijing 100192 China

Surface deformation of an object can be measured by digital shearography through non-contact measurement with a simple device. It is always difficult to remove the noise of the speckle interference. Consequently extracting phase from a single fringe pattern without carrier-frequency is complex. Based on gray extremum, an improved method for phase extraction is proposed by using the improved image binarization algorithm in this paper. Through comparing the average value of eight neighbourhood points around each pixel with threshold value, the quality of binary image can be improved, and then the skeleton line can be extracted. Finally a smooth extremum image can be obtained. Experimental results show that the proposed method is simple, convenient and reliable.

关键词： shearography phase extraction gray extremum method binarization skeleton

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Creation and integration mechanism of instrumentation flexible developing system

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机械工程前沿 2011年第2期6卷 235-240页

作者： Xiaoli XU Qiushuang LIU Beijing Key Laboratory Measurement and Control of Mechanical and Electrical System Beijing Information Science & Technology University Beijing 100092 China School of Mechanical Engineering Beijing Institute of TechnologyBeijing 100081 China Beijing Key Laboratory Measurement and Control of Mechanical and Electrical System Beijing Information Science & Technology University Beijing 100092 China

To solve many key technical problems during the development of modern instrumentation system integration and provide a new mode and fundamental technical equipment for the research and development (R&D) of modern instrumentation products, based on the concept of an instrumentation flexible developing system (IFDS), this paper discusses the creation and open flexible integration mechanism, perfects the integrated supporting environment and integrated system of the flexible interconnection, and constructs the new flexible integrated system. Based on the operation mechanism of the modern instrumentation developing system and the research and optimization of the rapid integration design method, the paper emphasizes the dynamic integrating method of multiple types of knowledge in a modem instrument R&D system, to effectively utilize the rich integrated resource and achieve rapid integration of the system. Applications show that the new IFDS can improve the integration level and efficiency of R&D of the modern instrumentation system, enforce the reliability of the system, shorten the R&D period, and reduce the development costs.

关键词： modern instrumentation developing flexible interconnection flexible integration mechanism rapid integration system dynamic integrating method

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Day-ahead Electricity Price Forecasting Based on Rolling Time Series and Least Square-Support Vector Machine Model

Day-ahead Electricity Price Forecasting Based on Rolling Tim...

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2011 China control and Decision Conference(2011中国控制与决策会议 CCDC)

作者： Guolian Hou Jianhua Zhang Rui Wang Jian Han Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North

Considering the electricity price’s volatility and various elements which affect the price in the electricity market, the paper presents hybrid model for the day-ahead electricity market clearing price forecasting. The paper adopts autoregressive moving average (ARMAX) model to reveal the linear relationship between power load and electricity price;the generalized autoregressive conditional heteroskedasticity (GARCH) model to reveal the heteroskedasticity properties of residual. Simultaneously the paper presents the inexactness and irrationality that modeling by the historical data long ago to forecast the price with the change of the time, then presents the rolling forecast that constantly using the latest data to modeling the ARMAX-AR-GARCH model. To reveal the nonlinear relationship between power load and electricity price, the paper adopts least squares support vector machine (LS-SVM). Using the proposed method, the day-ahead electricity prices of California electricity market are forecasted, prediction results show the efficiency of the proposed method.

关键词： day-ahead price forecast ARMAX GARCH rolling forecast LS-SVM

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Path planning of robotic fish based on genetic algorithm and modified dynamic programming

Path planning of robotic fish based on genetic algorithm and...

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2011 International Conference on Advanced Mechatronic systems, ICAMechS 2011

作者： Yang, Qian Yu, Mei Liu, Shu Chai, Zhong-Ming School of Control and Computer Engineering North China Electric Power University Beijing 102206 China Key Laboratory of Measurement and Control New Technology and System for Industrial Process North China Electric Power University Beijing 102206 China

ISBN: (纸本)9780955529375

In this paper, genetic algorithm and modified dynamic programming are applied to path planning of robotic fish for the first time. Using grid method to the environment modeling and applying genetic algorithm to the path planning, an optimal or sub-optimal robot path can be obtained. Since the robotic fish can't track linear motion, the robot path can be seen as several circular arc. Based on the optimal path obtained via genetic algorithm, modified dynamic programming algorithm is proposed to calculate the shortest circular arc path, fish velocity and direction in every step. Finally the experiment on the robotic fish control software shows the effectiveness of the proposed method. © 2011 Intl Journal of Adv Mechatr.

关键词： Motion planning

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A New Robust Least Squares Support Vector Machine for Regression with Outliers

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Procedia Engineering 2011年 15卷 1355-1360页

作者： Lü You Liu Jizhen Qu Yaxin Key Laboratory of Measurement & Control New Technology and System for Industrial Process North China Electric Power University Beijing 102206 China

The least squares support vector machine (LS-SVM) is sensitive to noises or outliers. To address the drawback, a new robust least squares support vector machine (RLS-SVM) is introduced to solve the regression problem with outliers. A fuzzy membership function, which is determined by heuristic method, is assigned to each training sample as a weight. For each data point, firstly a deleted input neighborhood is found when the high-dimension feature space of input is focused on. Then the new field is reformulated after the output is brought in the neighborhood which we have found. The fuzzy membership function (weight) is set according to the distance from the data point to the center of its neighborhood and the radius of the neighborhood, which implies the probability to be an outlier. Two benchmark simulation experiments and analysis are presented to verify that the performance is improved.

关键词： Outlier Robust Weight Least squares support vector machine Regression

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Stochastic distribution control theory applied in superheated steam temperature systems

Stochastic distribution control theory applied in superheate...

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Chinese control Conference (CCC)

作者： Jianhua Zhang Fenfang Zhang Guolian Hou Jinfang Zhang Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System 102206 China

A novel control algorithm is applied to control superheated steam temperature in power plants. Since the disturbances existed in practical processes are probably non-Gaussian, the performance index is constructed by minimizing the entropy and mean value of tracking error besides the constraints on control energy. The optimal control solution is given and applied to control superheated steam temperature in a power plant. The simulation results verify its effectiveness.

关键词： Entropy Temperature control process control Stochastic processes Temperature distribution Temperature measurement Performance analysis

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Stochastic distribution control theory applied in superheated steam temperature systems

Stochastic distribution control theory applied in superheate...

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作者： Zhang, Jianhua Zhang, Fenfang Hou, Guolian Zhang, Jinfang Beijing Key Laboratory of Industrial Process Measurement and Control New Technology and System Beijing 102206 China

ISBN: (纸本)9789881725592

关键词： Probability density function

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A study on the application of BPNN based on Minimum Error Entropy in electricity price forecasting

A study on the application of BPNN based on Minimum Error En...

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IEEE Conference on industrial Electronics and Applications (ICIEA)

作者： Jianhua Zhang Fang Wang Rui Wang Guolian Hou Beijing Key Laboratory of Industrial Process Measurement & Control New Technology and System North China Electric Power University Beijing China

Market clearing price (MCP) forecasting techniques is very important for the development of the electricity market. A three-layered neural network is used to predict electricity prices. MCP is seen as a multi-input single-output system and the historical electricity price and load data is utilized in an electricity market. The neural network is based on Minimum Entropy Error (MEE) cost function and Batch-Sequential mode. Compared with other models, the proposed approach improves the prediction accuracy and speed.

关键词： Electricity Forecasting Artificial neural networks Entropy Predictive models Accuracy Training

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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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作者： Li, Hao Bai, Yongqiang Su, Zhong School of Automation Beijing Institute of Technology Beijing 100081 China Key Laboratory of Complex System Intelligent Control and Decision Beijing Institute of Technology Ministry of Education Beijing 100081 China Key Laboratory of Modern Measurement and Control Technology Beijing Information Science and Technology University Ministry of Education Beijing 100101 China

ISBN: (纸本)9788995605646

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. © 2011 Asian control Association.

关键词： Parameter estimation

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