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2011 5th International Conference on Application of Information and Communication Technologies, AICT 2011

作者： Colak, Ilhami Yesilbudak, Mehmet Sagiroglu, Seref Kahraman, H. Tolga Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey Department of Electronics and Automation Vocational College of Haci Bektas Veli Nevsehir University Nevsehir Turkey Department of Computer Engineering Faculty of Engineering Gazi University Ankara Turkey Department of Software Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey

ISBN: (纸本)9781612848310

Driving voltage, driving frequency, phase difference and operating temperature are the parameters which affect the speed stability of a travelling wave ultrasonic motor (TWUSM). The weight coefficients of these parameters should be determined for the purpose of ensuring the speed stability of a TWUSM with a maximum level under different operating conditions. In this paper, a novel approach is proposed for the speed stability analysis of the TWUSM using genetic k-nearest neighbor algorithm (k-NN) and the speed stability classes of new test observations are achieved accurately. Furthermore, the genetic k-NN algorithm is compared with the classic k-NN algorithm in terms of prediction accuracy using Euclidean, Manhattan and Minkowski distance metrics. As a result of experimental studies, it is shown that the TWUSM parameters weighted by the genetic k-NN algorithm increase the speed stability of the TWUSM significantly and the genetic k-NN algorithm outperforms the classic k-NN algorithm for all of distance metrics. © 2011 IEEE.

关键词： Nearest neighbor search

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An intelligent decision support tool for a travelling wave ultrasonic motor based on k-nearest neighbor algorithm

An intelligent decision support tool for a travelling wave u...

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10th International Conference on Machine Learning and Applications, ICMLA 2011

作者： Sagiroglu, Seref Kahraman, H. Tolga Yesilbudak, Mehmet Colak, Ilhami Department of Computer Engineering Faculty of Engineering Gazi University Ankara Turkey Department of Software Engineering Faculty of Technology Karadeniz Technical University Trabzon Turkey Department of Electronics and Automation Vocational College of Haci Bektas Veli Nevsehir University Nevsehir Turkey Department of Electrical and Electronics Engineering Faculty of Technology Gazi University Ankara Turkey

ISBN: (纸本)9780769546070

Driving frequency, amplitude and phase difference of two-phase sinusoidal voltages are the input parameters which have influence on speed stability of travelling wave ultrasonic motors (TWUSMs).These parameters are also time-varying due to the variations in operating temperature. In addition, a complete mathematical model of the TWUSM has not been derived yet. Owing to these reasons, a machine learning approach is required for determining the compatibility of operating parameters related to speed stability of TWUSMs. For this purpose, an intelligent decision support tool has been designed for TWUSMs in this study. The input parameters such as driving frequency, amplitude, phase difference of two-phase sinusoidal voltages and operating temperature were evaluated by the k-nearest neighbor algorithm in the decision support tool. The results have shown that the proposed tool provides effective results in the compatibility determination of operating parameters related to speed stability of TWUSMs. © 2011 IEEE.

关键词： Piezoelectric motors

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Dual Graph Error Propagation Model for Mechatronic System Analysis

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IFAC Proceedings Volumes 2011年第1期44卷 9893-9898页

作者： Andrey Morozov Klaus Janschek Institute of Automation Faculty of Electrical and Computer Engineering Technische Universität Dresden 01187 Germany

Abstract Error propagation analysis is an important part of a system development process. This paper addresses a model based analysis of spreading of data errors through mechatronic systems. Error propagation models for such kind of systems must use an abstraction level, which allows the proper mapping of the mutual interaction of heterogeneous system elements such as software, hardware and physical parts. A number of appropriate approaches have been introduced in recent years. The majority of them are based only on a data flow analysis. It is shown in this paper that for a complete picture the system control flow has to be considered as well. A new approach based on probabilistic control flow and data flow graphs is presented. The structures of the graphs can be derived systematically from an UML/SysML model of a system. The knowledge about an operational system profile allows the definition of additional system properties. Initially this model was developed for software errors localization. This paper shows its applicability to the error propagation analysis of an entire mechatronic system. The paper presents the modeling concept, the complete mapping process and application of the model for error localization. A reference robot control example demonstrates the main modeling steps.

关键词： Control system analysis Data flow analysis Error analysis Markov models

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Trajectory tracking control of pendulum with variable length by partial energy shaping

Trajectory tracking control of pendulum with variable length...

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作者： Xin, Xin Shinji, Tatsuya Yamasaki, Taiga Sun, Changyin Faculty of Computer Science and System Engineering Okayama Prefectural University 111 Kuboki Soja Okayama 719-1197 Japan School of Automation Southeast University Nanjing 210096 China

ISBN: (纸本)9783902661937

This paper concerns a trajectory tracking control problem for a pendulum with variable length, which is an underactuated mechanical system of two degrees-of-freedom with a single input of adjusting the length of the pendulum. We aim to study whether it is possible to design a time-invariant control law to pump appropriate energy into the variable-length pendulum for achieving a desired swing motion (trajectory) with given desired energy and length of the pendulum. First, we show that it is difficult to avoid singular points in the controller designed by using the conventional energy-based control approach in which the total mechanical energy of the system is controlled. Second, we propose a tracking controller free of singular points by shaping only the kinetic energy of rotation and the potential energy of the pendulum and not utilizing the kinetic energy related to the motion along the rod. Third, we analyze globally the motion of the pendulum and clarify the stability issue of some closed-loop equilibrium points;and we also provide some conditions on control parameters for achieving the tracking objective. Finally, we present numerical simulation results to validate the presented theoretical results. © 2011 IFAC.

关键词： Pendulums

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Wavelet based fault detection, classification and location in existing 500 kV transmission line

Wavelet based fault detection, classification and location i...

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International Conference on Electrical engineering/Electronics, computer, Telecommunications and Information Technology

作者： Kajoijilertsakul, Pairoj Asawasripongtorn, Santi Sanposh, Peerayot Suwatthikul, Jittiwut Fujita, Hideaki Department of Electrical Engineering Faculty of Engineering Kasetsart University Bangkok Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center Bangkok Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology Tokyo Japan

ISBN: (纸本)9781457704246

This paper describes the implementation of Wavelet Transform and Spectral Energy analysis on samples of simulated voltage and current waveforms obtained from PSCAD/EMTDC for each of the all possible fault scenarios in a modeled 500 kV transmission network. The fault detection and classification of each fault scenarios is determined based on results of the voltage and current waveforms analysis in time and wavelet domains. The analysis is carried out including variation in fault types, inception angles and locations with a practically arbitrarily assumed fault duration. The analytical results shows that the described technique is highly dependable and is able to detect and classify different kinds of faults along a transmission line whatever is the fault type, inception angle and location. © 2011 IEEE.

关键词： Wavelet transforms

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Modeling and simulation of 500 kV transmission network for numerical fault calculation, detection, using PSCAD/EMTDC

Modeling and simulation of 500 kV transmission network for n...

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2011 Asia-Pacific Power and Energy engineering Conference, APPEEC 2011

ISBN: (纸本)9781424462551

This paper presents modeling of the 500 kV transmission line located between Bang-Saphan 2 (BSP2) and Chom-Bung (CBG) substations, Thailand. The network is modeled based on the transient simulation program- PSCAD/EMTDC. The equivalent circuit of BSP2 and CBG is obtained from the actual parameters. The initial condition parameters are verified by PSS/E, an electrical simulation program. After the modeling has been established, a fault analysis is done by using PSCAD/EMTDC in order to study the system response when fault constrains are applied. This paper has illustrated that how the information on the sampled voltage and current waveforms derived from PSCAD/EMDTC modeling and simulation can be used for fault detection, classification and location. © 2011 IEEE.

关键词： Equivalent circuits

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22nd International Joint Conference on Artificial Intelligence, IJCAI 2011

作者： Xiao, Yanshan Liu, Bo Yin, Jie Cao, Longbing Zhang, Chengqi Hao, Zhifeng School of Computer Guangdong University of Technology Guangzhou China Faculty of Engineering and IT University of Technology Sydney NSW Australia College of Automation Science and Engineering South China University of Technology Guangzhou China School of Automation Guangdong University of Technology Guangzhou China Information Engineering Laboratory CSIRO ICT Centre Australia

ISBN: (纸本)9781577355120

Positive and unlabelled learning (PU learning) has been investigated to deal with the situation where only the positive examples and the unlabelled examples are available. Most of the previous works focus on identifying some negative examples from the unlabelled data, so that the supervised learning methods can be applied to build a classifier. However, for the remaining unlabelled data, which can not be explicitly identified as positive or negative (we call them ambiguous examples), they either exclude them from the training phase or simply enforce them to either class. Consequently, their performance may be constrained. This paper proposes a novel approach, called similarity-based PU learning (SPUL) method, by associating the ambiguous examples with two similarity weights, which indicate the similarity of an ambiguous example towards the positive class and the negative class, respectively. The local similarity-based and global similarity-based mechanisms are proposed to generate the similarity weights. The ambiguous examples and their similarity-weights are thereafter incorporated into an SVM-based learning phase to build a more accurate classifier. Extensive experiments on real-world datasets have shown that SPUL outperforms state-of-the-art PU learning methods.

关键词： Artificial intelligence

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Intelligent agent-based modeling of kinesin nanomotor

Intelligent agent-based modeling of kinesin nanomotor

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37th Annual Conference of the IEEE Industrial Electronics Society, IECON 2011

作者： Khataee, H.R. Moh Aris, T.N. Sulaiman, M.N. Yousef Ibrahim, M. Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia Gippsland Regional Automation Centre School of Applied Science and Engineering Monash University Churchill VIC 3842 Australia

ISBN: (纸本)9781612849720

This paper introduces a new methodology to develop comprehensive structural and behavioral models of kinesin nanomotor within its cell using agent technology. In this work, firstly, kinesin nanomotor is introduced as a physical intelligent agent. Then, we have proposed an agent-based structural model of kinesin nanomotor using composite diagram of Unified Modeling Language (UML). We also introduced its heads and tail as the kinesin's sensors and its motor domain as its actuator. An agent-based behavioral model of kinesin nanomotor was developed using Finite State Machine (FSM) diagram of UML and illustrated the internal intelligent and autonomous decision-making process of the nanomotor. The proposed agent-based behavioral FSM model was verified with its mathematical definitions which developed as Deterministic Finite Automaton (DFA) and its respective grammar. The outputs of the proposed grammar were in agreement with the proposed DFA model and traced the behavior of the nanomotor in nature. Also, the behavioral DFA model of the nanomotor was implemented as its software agent model. The proposed agent-based structural and behavioral models of kinesin nanomotor introduced the nanomotor as bio-nanoagent which was able to sense its cell through its sensors, make decision internally, and perform actions upon the cell through its actuator. © 2011 IEEE.

关键词： Actuators

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Bio-nanorobotic in nanotechnology: Structure and potential

Bio-nanorobotic in nanotechnology: Structure and potential

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IEEE International Symposium on Industrial Electronics

作者： Khataee, H.R. Ibrahim, M.Y. Teh Noranis, M.A. Department of Computer Science Faculty of Computer Science and Information Technology Universiti Putra Malaysia 43400 UPM Serdang Selangor Malaysia Gippsland Regional Automation Centre School of Applied Science and Engineering Monash University Churchill VIC 3842 Australia

ISBN: (纸本)9781424493128

Bio-nanorobotic systems are made from bio-nanocomponents, particularly proteins. An important group of such protein-based bio-nanocomponents are myosin protein nanomotors that are involved in a wide variety of cellular tasks from cellular transports to muscle contractions. Realization of behavior and properties of the myosin protein nanomotors as bio-nanocomponents could form the basis of bottom-up approaches for constructing active bio-nanorobotic systems. This is the long-term goal of the bio-nanorobotic. In this paper we have presented an engineering point of view to the structure and behavior of both categories of myosin nanomotors, muscle and non-muscle. Myosin nanomotors are self-guiding systems. They have evolved to bind to their polymer filaments and are able to recognize the direction of movement by moving only in one direction of the polarized filaments. Myosin nanomotors also convert the chemical energy into mechanical work directly rather than via an intermediate energy. We have also pointed out to the potential applications of this nanomotor. The myosin's perfect structure, small size, smart and high efficiency indicate that myosin nanomotor can be an ideal bio-nanocomponent for bio-nanorobotic systems. © 2011 IEEE.

关键词： Proteins

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Teaching Microcontrollers by Means of Industrial Processes

Teaching Microcontrollers by Means of Industrial Processes

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2011 2nd International Conference on Networking and Information Technology（ICNIT 2011）

作者： Razvan Bogdan Versavia Ancusa Mircea Popa Computer and Software Engineering Department Faculty of Automation and Computers"Politehnica" University of TimisoaraRomania

ISBN: (纸本)9789810706807

This paper presents a modality to shorten the gap existing between the industrial requirements regarding the qualifications of future engineers and the actual academic provided education. We present the case of Embedded System laboratory developed at computer and Software engineering Department, faculty of automation and computers, "Politehnica" University of Timisoara, Romania. The results are very encouraging both from students, but also different employers' point of view.

关键词： embedded systems, undergraduate, laboratory, industrial approach

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