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2007 International Power engineering Conference (IPEC2007), vol.2

作者： Saravuth Pothiya Issarachai Ngamroo Waree Kongprawechnon School of communication Instrumentation&Control Sirindhorn International Institute of Technology Thammasat University Pathum Thani Thailand Electrical Engineering Department Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand

This paper proposes a new optimization approach of a Fuzzy Logic based-Proportional-Integral-Derivative (FLPID) controller by the Multiple Tabu Search (MTS) algorithm for Automatic Generation control (AGC) including Superconducting Magnetic Energy Storage (SMES) units. Conventionally, the membership functions and control rules of fuzzy logic control are obtained by trial and error method or experiences of designers. To overcome this problem, the MTS is applied to simultaneously tune PID gains, membership functions and control rules of FLPID controller to minimize frequency deviations of the system against load disturbances. The MTS algorithm introduces additional techniques for improvement of search process such as initialization, adaptive search, multiple searches, crossover and restarting process. Simulation results explicitly show that the performance of the proposed optimum FLPID controller is superior to the conventional PID controller and the non-optimum FLPID controller in terms of the overshoot, settling time and robustness against variations of system parameters.

关键词： Power system control Automatic generation control Superconducting magnetic energy storage Fuzzy logic control Tabu search algorithm PID controller

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Coordinated control of the brake control system and the driveline control system

Coordinated control of the brake control system and the driv...

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International Conference on control, Automation and systems ( ICCAS)

作者： Jeong-Yeop Hwang Hyeongcheol Lee Ji-Hwan Kim Jeong-Hun Kim Byung-Hak Kwak Department of Electric Engineering Hanyang university Seoul South Korea Division of Electrical Control and Instrumentation Biomedical Engineering Hanyang university Seoul South Korea ABS Research & Development Brake Control Team Global Brake System H.Q. MANDO Corporation Gyeonggi South Korea

The behavior of a vehicle is strongly influenced by the distribution of driving and braking torques in four wheels. Therefore, traction and stability characteristics of a vehicle can be controlled by the controlling driveline and the braking torques. However, independent and uncoordinated control of the brake and driveline control system can harm the vehicle performance due to the interference between two devices. So, the vehicle equipped with both the brake control system and the driveline control system requires a coordinated control of both systems to reduce the bad interference and to maximize vehicle performance. This paper presents the procedure of the coordinated control design of the brake and driveline control systems. The 2 degree of freedom (DOF) vehicle model and the driveline model including torque biasing devices are developed. Each control algorithm for the ESP and the coupling (the target torque biasing device) are developed based on the models. Finally, the coordinated control is designed to maximize the yaw stability of the vehicle. The developed models and the control algorithms are programmed using Matlab/Simulink and verified by co-simulation with a commercial vehicle simulation tool, CarSim.

关键词： control systems Vehicle driving Mathematical model Torque control Stability Interference Vehicles Wheels control design Electrostatic precipitators

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Dynamic Event Analysis using Synchronized PMUs via 220V Wall Outlets

Dynamic Event Analysis using Synchronized PMUs via 220V Wall...

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2007 International Power engineering Conference (IPEC2007), vol.2

作者： Issarachai Ngamroo Panlert Lappanakul Nitus Voraphonpiput Sanchai Dechanupaprittha Yasunori Mitani Jareerat Sakulrat Department of Electrical Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok Thailand Power System Analysis Department Control and Protection Electricity Generating Authority of Thailand Thailand Department of Electrical Engineering Kyushu Institute of Technology Fukuoka Japan Department of Civil Engineering Prince of Songkla University Songkla Thailand

This paper presents the dynamic analysis results of a system event in Thailand power network using a wide-area monitoring system based on synchronized phasor measurement units (PMUs). The salient feature of the proposed monitoring system is the convenient installation of PMU at 220V wall power outlets. The event considering here is a 80MW load transferring from Thailand to Malaysia systems through a weak 115kV tie-line. To perform load transferring, a synchronization between both systems is required. This causes a problem of frequency osculation in a southern area of Thailand. Besides, this event severely excites the inter-area oscillation in a 230kV tie-line between central and southern areas of Thailand. Analyzed results based on discrete wavelet decomposition and short-time Fourier Transform provide valuable information of the system dynamic behavior in both frequency and time domains.

关键词： Synchronized Phasor measurement units Wide-area monitoring Inter-area oscillation Discrete wavelet decomposition Least-squares regression Short-time Fourier Transform

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NEURAL-ADAPTIVE control BASED ON ADALINE NEURONS WITH APPLICATION TO A POWER system

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IFAC Proceedings Volumes 2007年第18期40卷 457-464页

作者： Ioan Filip Octavian Prostean Florin Dragan Cristian Vasar Department of Control System Engineering “Politehnica” University from Timisoara Faculty of Automation and Computer Science 300223 Timisoara Romania Phone: (+40) 0256-403238 E-Mail: ioan.filip@aut.upt.ro

A neural-adaptive control solution is exposed in this paper. The control strategy is based on the linear adaptive neuron, which is called ADALINE. Unlike other neural control solutions, based on perceptrons neurons characterized by a long time learning process and a difficult on-line tuning of weights, this approach uses a fast algorithm, which adapts on-line the neuron's weights. Therefore the non-linear character of control law is induced by the permanent changes of neuron weights, which are variable parameters of controller. A set of study cases is done, with application to the excitation control of a synchronous generator.

关键词： adaptive control neural networks ADALINE modelling simulation synchronous generator

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SHORT TERM ELECTRIC LOAD FORECAST WITH ARTIFICIAL NEURAL NETWORKS

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IFAC Proceedings Volumes 2007年第18期40卷 443-449页

作者： Vasar Cristian Szeidert Iosif Filip Ioan Prostean Gabriela Department of Control System Engineering “Politehnica” University from Timisoara Faculty of Automation and Computer Science 300223 Timisoara Romania Phone: (+40) 256-403237 E-Mail: cristian.vasar@aut.upt.ro

This paper presents issues regarding short term electric load forecasting using feedforward and Elman recurrent neural networks. The study cases were developed using measured data representing electrical energy consume from Banat area. There were considered 35 different types of structure for both feedforward and recurrent network cases. For each type of neural network structure were performed many trainings and best solution was selected. The issue of forecasting the load on short term is essential in the effective energetic consume management in an open market environment.

关键词： neural networks prediction problems load forecasting feedforward networks simulation

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Noise control in magnetic field via ‘Stochastic system Identification Method’

Noise control in magnetic field via ‘Stochastic System Iden...

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International Conference on control, Automation and systems ( ICCAS)

作者： Dong-Chul Kwon Yun-Hyun Cho In-Beom Yang Jong-Bok Lee Dong-Hee Lee Sung-Man Park Kyo-Soon Chae Hoon Heo Department of Control and Instrumentation Engineering Korea University Seoul South Korea Shinho-System Company Limited Sungnam Gyeonggi South Korea Future Vehicle Technology Development Korea Automotive Technology Institute Cheonanshi South Korea

Study on the reduction of inherent noise in magnetic field has been conducted. Distributed model such as magnetic field is well known for its inadequacy to control in conventional ways. 'Stochastic system identification method' from moment equations via Fokker-Plank-Kolmogorov equation has been developed in inverse manner to figure out unknown system parameters of discrete system under random disturbances. The newly developed concept of 'stochastic system identification method' is implemented on magnetic system, which enables to construct virtual discrete operating system in forms of 2 nd order using stationary stochastic system output only. Based on the virtually assumed dicsrete model, system parameters are extracted. In order to reduce the noise, ' Hoe-stochastic controller' is designed for the virtually generated discrete model of magnetic field. Also in order to perform system control in real time frame, approximate probability density function is adopted to design the 'Heo-stochastic controller' and implemented on the system. Feasibility of the idea to control stochastic distributed system via 'stochastic system identification method' and 'Heo-stochastic controller' is confirmed in terms of simulation and experiment as well.

关键词： Magnetic noise control systems Magnetic fields system identification Stochastic systems Noise reduction Equations Operating systems Noise generators Real time systems

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AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY CHARACTERISTICS

AUTOMATIC BRAIN TUMOR SEGMENTATION USING TISSUE DIFFISIVITY ...

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IEEE International Symposium on Biomedical Imaging

作者： Azadeh Yazdan-Shahmorad Hesamoddin Jahanian Suresh Patel Hamid Soltanian-Zadeh Radiology Department Henry Ford Health System Medical Image Analysis Laboratory Detroit MI USA Electrical and Computer Engineering Department Wayne State University Detroit MI USA Biomedical Engineering Department University of Michigan Ann Arbor MI USA Control and Intelligent Processing Center of Excellence Electrical and Computer Engineering Department Faculty of Engineering University of Tehran Tehran Iran

ISBN: (纸本)9781424406715;1424406714

Water diffusion measurements have been shown to be sensitive to tissue cellular size, extra cellular volume, and membrane permeability. Therefore, diffusion tensor imaging (DTI) by MRI can be used to characterize highly cellular regions of tumors versus acellular regions, distinguishing cystic regions from solid regions. An automatic segmentation method is proposed in this paper based on a multi-phase clustering algorithm to segment the brain tumors in a feature space extracted from DTI images. The algorithm is applied on images of a total of 20 patients with 4 different types of tumors. The tumor region segmentation was 92% accurate based on the segmentation results using anatomical images and 100% accurate based on biopsy results. In general, the segmentation results obtained by the proposed method revealed a strong agreement with the biopsy results and anatomical images, providing support for the accuracy and robustness of the proposed feature space and the segmentation procedure.

关键词： Neoplasms Image segmentation Diffusion tensor imaging Clustering algorithms Biopsy Permeability measurement Volume measurement Size measurement Biomembranes Magnetic resonance imaging

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A Hierarchical Clustering Based on Mutual Information Maximization

A Hierarchical Clustering Based on Mutual Information Maximi...

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IEEE International Conference on Image Processing

作者： M. Aghagolzadeh H. Soltanian-Zadeh B. Araabi A. Aghagolzadeh Control and Intelligent Processing Center of Excellence Department of Electrical and Computer Engineering University of Tehran Tehran Iran Radiology Image Analysis Laboratory Henry Ford Health System Detroit MI USA Faculty of Electrical and Computer Engineering University of Tabriz Tabriz Iran

Mutual information has been used in many clustering algorithms for measuring general dependencies between random data variables, but its difficulties in computing for small size datasets has limited its efficiency for clustering in many applications. A novel clustering method is proposed which estimates mutual information based on information potential computed pair-wise between data points and without any prior assumptions about cluster density function. The proposed algorithm increases the mutual information in each step in an agglomerative hierarchy scheme. We have shown experimentally that maximizing mutual information between data points and their class labels will lead to an efficient clustering. Experiments done on a variety of artificial and real datasets show the superiority of this algorithm, besides its low computational complexity, in comparison to other information based clustering methods and also some ordinary clustering algorithms.

关键词： Mutual information Clustering algorithms Clustering methods Data mining Data structures Density functional theory Computational complexity Entropy Higher order statistics Probability density function

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Automated Design and Implementation of Resonant controllers for Current control of Shunt Active Filters

Automated Design and Implementation of Resonant Controllers ...

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2007 International Conference on Power Electronics and Drive systems (PEDS 2007), vol.1

作者： W. Lenwari M. Sumner P. Zanchetta Department of Control System and Instrumentation Engineering King Mongkut's University of Technology Thonburi Bangkok Thailand School of Electrical and Electronic Engineering University of Nottingham Nottingham UK

This paper presents the automated design of resonant controllers for current control of three phase shunt active filters. The design methods employs a Genetic Algorithm (GA) based routine. The resonant control compensator is introduced in order to improve the control accuracy and performance for ac input signals. An accurate harmonic current control for shunt active filters can be achieved using resonant compensators. In this paper, the current control system is designed to operate with a single dq reference frame, synchronous with the 50 Hz supply voltage, for the compensation of all main harmonic currents, 5th, 7th, 11th and 13th. The design procedure and the principle of the proposed control method are presented. Experimental results confirm the accuracy and effectiveness of the GA-designed compensators, showing excellent harmonic current tracking performance.

关键词： Power Quality Harmonic Current control Shunt Active Filter Resonant controller

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Sensor offset compensation for a vehicle Yaw Rate Sensor Using fuzzy logic

Sensor offset compensation for a vehicle Yaw Rate Sensor Usi...

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2007 International Conference on control, Automation and systems (ICCAS 2007), vol.5

作者： Dae-woo Kim Youngho Park Hyeongcheol Lee Department of Electric Engineering Hanyang University Seoul South Korea Electronic Brake System Engineering Team Hyundai Mobis Yongin si Gyeonggi South Korea Division of Electrical Control and Instrumentation Biomedical Engineering Hanyang University Seoul South Korea

This paper presents a new offset compensation method by modifying the previous two mode transition map method. Different from the previous method using the mode transition map, the proposed method employs Fuzzy logic to smoothly change modes. This proposed method is verified through the computer simulations using Simulink based dynamic model.

关键词： Vehicle yaw rate sensor Offset compensation Fuzzy

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