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International Multi-Conference on Computing in The Global Information Technology

作者： Matić, Dragan Kulić, Filip Pineda-Sanchez, Manuel Pons-Llinares, Joan Department for Automation and System Control Faculty of Technical Science Novi Sad Serbia Department of Electrical Engineering Universidad Politécnica de Valencia Valencia Spain

ISBN: (纸本)9780769541815

This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic frequencies. Based on this data, training and test sets for used artificial neural networks are made. Feedforward and radial basis function neural networks are used for tasks of rotor condition classification. Well trained artificial neural networks are capable to successfully classify rotor condition at medium and full shaft load for choosen features. Simple structure and implementation made them suitably for practical usage. © 2010 IEEE.

关键词： Induction motors

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Robust D stabilization of singular systems with polytopic uncertainties

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控制理论与应用（英文版） 2010年第4期8卷 540-544页

作者： Jianjun BAI Hongye SU Xiaofu JI Jinfeng GAO State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejiang University Hangzhou Zhejiang 310027 China School of Electrical and Information Engineering Jiangsu University Zhenjiang Jiangsu 212013 China Institute of Automation Zhejiang Sci-Tech University Hangzhou Zhejiang 310018 China

The robust D stabilization problem is considered for singular systems with polytopic uncertainties in this *** the derivative matrix E and the state matrix A are with uncertainties,which were not considered ***,with the introduction of some free matrices,a necessary and sufficient condition for the singular system to be D stable is proposed,based on which,the robust D stable problem is solved,and a sufficient condition for the closed system to be robust D stabilizable is *** desired state feedback controller is given in an explicit *** examples show the efficiency of the proposed approach.

关键词： Singular system Robust D stabilization Free matrices LMI region

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A feasible registration method for underwater SLAM

A feasible registration method for underwater SLAM

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作者： Sun, Feng Wang, Wenjing Liu, Fuqiang Wang, Wenfeng Automation College Harbin Engineering University Harbin China Beijing Aerospace Control Device Institute Beijing China Beijing Institute of Spacecraft System Engineering Beijing China Electronic Components Reliability Center Beijing China

ISBN: (纸本)9783642051722

Simultaneous localization and mapping (SLAM) algorithm could make up for the disadvantages of underwater navigation methods based on priori maps, hence makes underwater vehicles truly autonomous. A modified data association method is proposed to lighten the systemic computational burden and improve data association process. The method makes use of a two-step filtration to solve the ambiguities arisen by multiple observations falling into the validation gate of a single feature or an observation lying in the overlapping region of gates of multiple features. Simulation experiments results show that the method could achieve a satisfactory association result with O(mn) computation complexity even when dead-reckoning error is quite large, thus suitable to on-line data association for underwater SLAM implementations. © 2010 Springer-Verlag Berlin Heidelberg.

关键词： Autonomous underwater vehicles

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Underlying system using dynamic clustering and structural similarity

Underlying system using dynamic clustering and structural si...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

作者： Hernando Colina, M. Eliezer Castañeda, M. Wladimir Rodríguez, G. Carlos Parra, O. University of Pamplona Engineering Faculty Systems Engineering Department Pamplona Norte de Santander Colombia Automation and Control Department University of Andes System School Sede la Hechicera Estado Mérida Mérida Venezuela Department of Computer Engineering Faculty System School Sede la Hechicera Estado Mérida Mérida Venezuela

ISBN: (纸本)9781424469208

we propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. The decomposition of the behavior of a state variable in different modes of behavior of a system, each one has a different set of weights and shows different patterns of behavior. These weights are more significant than eigenvalue to develop a new technique for identifying linear system and invariants over time. We use two methods based on different areas of knowledge such as linear algebra and statistics. This paper is a conceptual proof that enriches the implementation and validity not only from point of view algorithmic likewise physic mathematical. © 2010 IEEE.

关键词： Artificial intelligence

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New development thoughts on the bio-inspired intelligence based control for unmanned combat aerial vehicle

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Science China(Technological Sciences) 2010年第8期53卷 2025-2031页

作者： DUAN HaiBin 1 ,SHAO Shan 2 ,SU BingWei 3 &ZHANG Lei 41 State Key Laboratory of Science and Technology on Holistic Flight control,School of automation Science and Electrical engineering, Beijing University of Aeronautics and Astronautics,Beijing 100191,China 2 Flight control Department,Shenyang Aircraft Design and Research Institute,Shenyang 110035,China 3 Beijing Institute of Near Space Vehicle’s system engineering,Beijing 100076,China 4Integration and Project Section,Air Force Equipment Academy,Beijing 100085,China 1. State Key Laboratory of Science and Technology on Holistic Flight Control School of Automation Science and Electrical Engineering Beijing University of Aeronautics and Astronautics Beijing 100191 China2. Flight Control Department Shenyang Aircraft Design and Research Institute Shenyang 110035 China3. Beijing Institute of Near Space Vehicle’s System Engineering Beijing 100076 China4. Integration and Project Section Air Force Equipment Academy Beijing 100085 China

Bio-inspired intelligence is in the spotlight in the field of international artificial intelligence,and unmanned combat aerial vehicle(UCAV),owing to its potential to perform dangerous,repetitive tasks in remote and hazardous,is very promising for the technological leadership of the nation and essential for improving the security of *** the basis of introduction of bioinspired intelligence and UCAV,a series of new development thoughts on UCAV control are proposed,including artificial brain based high-level autonomous control for UCAV,swarm intelligence based cooperative control for multiple UCAVs,hy-brid swarm intelligence and Bayesian network based situation assessment under complicated combating environments, bio-inspired hardware based high-level autonomous control for UCAV,and meta-heuristic intelligence based heterogeneous cooperative control for multiple UCAVs and unmanned combat ground vehicles(UCGVs).The exact realization of the proposed new development thoughts can enhance the effectiveness of combat,while provide a series of novel breakthroughs for the intelligence,integration and advancement of future UCAV systems.

关键词： bio-inspired intelligence unmanned combat aerial vehicle(UCAV) artificial brain autonomous control bayesian network bio-inspired hardware heterogeneous cooperative control

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Artificial neural networks broken rotor bars induction motor fault detection

Artificial neural networks broken rotor bars induction motor...

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10th Symposium on Neural Network Applications in Electrical engineering, NEUREL-2010

作者： Matić, Dragan Kulić, Filip Climente-Alarcon, Vincente Puche-Panadero, Ruben Faculty of Technical Science Department for Automation and System Control Trg Dositeja Obradovića 6 21000 Novi Sad Serbia Polytechnic University of Valencia Department of Electrical Engineering Comino de Vera 46020 Valencia Spain

ISBN: (纸本)9781424488209

Paper deals with application of online rotor broken bar fault detection via artificial neural networks. Fault can be detected by monitoring abnormalities of the spectrum amplitudes at certain frequencies in the motor current spectrum. These discriminative features are used for training of feed-forward backpropagation artificial neural network. Trained network is capable to successfully classify induction motor rotor condition. Results are presented in tables and figures. © 2010 IEEE.

关键词： Neural networks

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Behavior of winding to ground fault in transformer windings using discrete wavelet transform

Behavior of winding to ground fault in transformer windings ...

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4th IASTED Asian Conference on Power and Energy systems, AsiaPES 2010

作者： Pothisarn, Chaichan Ngaopitakkul, Atthapol Pongchaisrikul, Worravut Apisit, Chaowat Jonpermpoonpol, Saridroje Department of Electrical Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Distribution Control Section Automation System Division Provincial Electricity Authority 200 Ngam Wong Wan Road Jatujak Bangkok 10900 Thailand

ISBN: (纸本)9780889868557

In the literature for fault detection, most of research works have never been mentioned about the high frequency transformer including capacitances. This paper presents behaviour of winding to ground fault signals in a three-phase two-winding transformer. The advantage of the discrete wavelet transform (DWT) is that the band of analysis can be fine adjusted so that high frequency components and low frequency components are detected precisely, consequently DWT is considered herein. The fault is simulated using ATP/EMTP and the behaviour analysis of signals is performed using DWT. The variation of high frequency components of differential current signals is proposed in this paper. The results obtained from the analysis will be useful in the development of a detect fault scheme for power transformer in the future.

关键词： Power transformers

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A Comparison of Arithmetic Operations for Dynamic Process Optimization Approach

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Chinese Journal of Chemical engineering 2010年第1期18卷 80-85页

作者：洪伟荣谭鹏程王树青 Pu Li Institute of Process Equipment Zhejiang University Hangzhou 310027 China Institute of Cyber-System and Control State Key Lab of Control Technology Zhejiang University Hangzhou310027 China Institute of Automation and Systems Engineering Ilmenau University of Technology Ilmenau 98684 Germany

A comparison of arithmetic operations of two dynamic process optimization approaches called quasi-sequential approach and reduced Sequential Quadratic Programming(rSQP)simultaneous approach with respect to equality constrained optimization problems is *** the detail comparison of arithmetic operations,it is concluded that the average iteration number within differential algebraic equations(DAEs)integration of quasi-sequential approach could be regarded as a *** formula is given to calculate the threshold value of average iteration *** the average iteration number is less than the threshold value,quasi-sequential approach takes advantage of rSQP simultaneous approach which is more suitable *** optimal control problems are given to demonstrate the usage of threshold *** optimal control problems whose objective is to stay near desired operating point,the iteration number is usually ***,quasi-sequential approach seems more suitable for such problems.

关键词： dynamic optimization arithmetic operation comparison quasi-sequential approach simultaneous approach

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Wavelet LS-SVR for short-term traffic flow forecasting

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Mediterranean Journal of Measurement and control 2010年第2期6卷 39-45页

作者： Wei, D. Chen, F. Chen, C. Department of Automation School of Information Science and Technology University of Science and Technology of China China Department of Control and System Engineering School of Management and Engineering Nanjing University China

Accurate short-term traffic forecasting is the foundation of optimal control and guidance for urban traffic. Traffic flow has the characteristics of strong non-linearity, uncertainty and dynamics, thus it is highly difficult to predict short-term traffic flow accurately. Least square support vector regression (LS-SVR) possesses the performances of global optimum and fast computing speed, and it is an appropriate means for function approximation problems. The selection of kernel function has significant impacts on the regularization performance of LS-SVR. In contrast to the conventional kernels such as radial basis function (RBF) and polynomial functions in LS-SVR, wavelet functions can approximate arbitrary functions in square integrable space. In this work, we propose a wavelet LS-SVR for short-term traffic flow forecasting. Mexican hat function is proved to satisfy Mercer condition and introduced as kernel function of LS-SVR. Through experimentally investigation, we found that Mexican hat based LS-SVR has higher forecasting accuracy than Shannon and Morlet based LS-SVRs. Moreover, this proposed method is compared with the other typical forecasting models such as auto regression moving average model (ARIMA), neural network (NN) based model and RBF kernel based LS-SVR model. The experimental results illustrate that for 5 minutes, 10 minutes and 15 minutes prediction time periods, the forecasting accuracy of our method outperforms those of the other models. © 2010 SoftMotor Ltd.

关键词： Radial basis function networks

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Hybridization approach of plant models for enhancing ship electrical system analysis

Hybridization approach of plant models for enhancing ship el...

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Electrical systems for Aircraft, Railway and Ship Propulsion

作者： R. Iza E. Irigoyen V. Gómez F. Artaza H. Etxebeste INGETEAM MARINE Zamudio Spain System Engineering and Automation Department Control Intelligent Research Group University of Basque Country (UPV-EHU) Bilbao Spain System Engineering and Automation Dept. University of the Basque Country Bilbao Spain

This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models developed. This work shows examples of models developed in Simulink-MATLAB and PSIM platforms. Later on, we present a research methodology based on modeling techniques by hybridization. Several modeling stages will be presented in order to clarify what kind of difficulties has been solved during marine plant models designing. Finally, we present some conclusions about the HML developed and the chances to improve its core.

关键词： Load modeling Analytical models Marine vehicles Libraries Propulsion Software control systems

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