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Experience with synchronous generator parameter identification using a Kalman filter

Experience with synchronous generator parameter identificati...

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IEEE General Meeting Power& Energy Society

作者： Kang Lin Elias Kyriakides Gerald T. Heydt Naim Logić Bharat Singh Department of Electrical Computer and Energy Engineering Arizona State University Tempe AZ USA KIOS Research Center for Intelligent Systems and Networks and the Department of Electrical Computer Engineering University of Cyprus Tempe AZ USA Salt River Project Phoenix AZ USA

The subject of the identification of the equivalent circuit parameters of large synchronous generators is revisited. The equivalent circuit of Park is used. On-line measurements are used in a Kalman filter to estimate the machine parameters. The formulation is linear and the extended Kalman filter is not needed. The approach is similar to that of Harley (1992), but flux linkages are not used in the present formulation in the machine model vector. An example is shown for an actual machine in operation in the Southwest United States. A transition to real time data using synthetic synchronized measurements (e.g., from a phasor measurement unit) is proposed and demonstrated.

关键词： Kalman filters Phasor measurement units Noise Windings Shock absorbers Synchronous generators

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D-Optimal Trajectories of Mobile Sensors with Fractional Dynamics for Parameter Estimation of Distributed Parameter systems

D-Optimal Trajectories of Mobile Sensors with Fractional Dyn...

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The 8th World Congress on intelligent Control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Christophe Tricaud YangQuan Chen Center for Self-Organizing and Intelligent Systems Department of Electrical and Computer Engineering 4160 Old Main Hill Utah State University Logan UT 84322-4160 USA

In this paper, we propose a methodology to optimize the trajectory of mobile sensors whose dynamics contains fractional derivatives to find parameter estimates of a distributed parameter system. The problem is to maximize the determinant of the Fischer information matrix representing the amount of information gathered on parameters by the sensors. The introduced method transforms the problem to a fractional optimal control one in which both the steering of the sensors and their initial positions are optimized. The resulting fractional optimal control problem is reformulated into an integer order optimal control one which is then solved using the Matlab PDE toolbox and the RIOTS optimal control toolbox which handles various constraints imposed on the sensor motions. The effectiveness of the method is illustrated with a two-dimensional diffusion equation for different numbers of sensors and different orders.

关键词： Sensors Trajectory Optimal control Mathematical model Mobile communication Equations Distributed parameter systems

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Smart Remote Sensing of Environmental systems Using Unmanned Air Vehicles

Smart Remote Sensing of Environmental Systems Using Unmanned...

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The 8th World Congress on intelligent Control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

Remote sensing of environmental systems is getting more and more attention as the amount of applications and platform increases and costs are going down. Early applications were taking advantage of manned aircrafts and satellites to gather data but the trend is currently shifting to cheaper platforms: Unmanned Air Vehicles (UAVs). UAVs have tremendous advantages thanks to their on-board processing and decision making capabilities, low cost and modularity. Despite all these features, most research only involves data processing and sets aside a ”smart” data acquisition process. In this paper, we describe an autonomous methodology that optimizes the relevance of the data gathered by the UAVs for parameter estimation and updates the flight path accordingly. Based on an initial guess of the monitored system's parameters, the UAV computes a flight path to gather the most useful information. As data is gathered, the parameter estimates are refined and the trajectory is improved. An illustrative example is given to demonstrate to capability of the method.

关键词： Sensors Trajectory Remote sensing Mobile communication Parameter estimation Unmanned aerial vehicles Optimization

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OFDM with Pilot Aided Channel Estimation for Time-Varying Shallow Water Acoustic Channels

OFDM with Pilot Aided Channel Estimation for Time-Varying Sh...

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WRI International Conference on Communications and Mobile Computing, CMC

作者： Xiaopeng Huang Victor B. Lawrence Department of Electrical and Computer Engineering Intelligent Networked Systems Center (iNets) Stevens Institute of Technology Hoboken NJ USA Stevens Institute of Technology Hoboken NJ US

ISBN: (纸本)9781424463275;9780769539898

How to achieve high speed, large capacity and bandwidth-efficient digital communication in shallow water conditions is challenging work. Recently, Orthogonal frequency division multiplexing (OFDM) has received considerable attention for UWA communication. In this paper, the authors investigate time-varying channel impulse responses with different transceiver moving speeds. For this channel model, the performance of MMSE and LS channel estimation methods are evaluated for an OFDM UWA system, based on block-type pilot and comb-type pilot (combined with the linear interpolation method) separately. The results are based on considering three different modulation schemes: BPSK, QPSK and 16QAM. The work is fundamental to the design of an adaptive modulation and bit loading OFDM UWA communication system in a changing channel environment, aiming for achieving optimal performance.

关键词： Channel estimation OFDM modulation Time-varying channels Interpolation computer networks Time varying systems Binary phase shift keying Quadrature phase shift keying Intersymbol interference Rivers

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Reports on the AAAI 2009 fall symposia

Reports on the AAAI 2009 fall symposia

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作者： Azevedo, Roger Bench-Capon, Trevor Biswas, Gautam Carmichael, Ted Green, Nancy Hadzikadic, Mirsad Koyejo, Oluwasanmi Kurup, Unmesh Parsons, Simon Pirrone, Roberto Prakken, Henry Samsonovich, Alexei Scott, Donia Souvenir, Richard Department of Psychology Institute for Intelligent Systems University of Memphis United States Department of Computer Science University of Liverpool United Kingdom Center for Intelligent Systems Vanderbilt University United States Department of Computer Science University of North Carolina Charlotte United States Department of Computer Science University of North Carolina Greensboro United States Department of Software and Information Systems University of North Carolina Charlotte United States Complex Systems Institute United States Department of Electrical and Computer Engineering University of Texas Austin United States Department of Cognitive Science Rensselaer Polytechnic Institute Troy NY United States Department of Computer and Information Science Brooklyn College City University New York United States University of Palermo Italy Computer Science Department Utrecht University Netherlands Department of Law and IT Law Faculty University of Groningen Netherlands Krasnow Institute for Advanced Study George Mason University United States Computational Linguistics Department Informatics at the University of Sussex United Kingdom

The Association for the Advancement of Artificial Intelligence was pleased to present the 2009 Fall Symposium Series, held Thursday through Saturday, November 5-7, at the Westin Arlington Gateway in Arlington, Virginia. The Symposium Series was preceded on Wednesday, November 4, by a one-day AI funding seminar. The titles of the seven symposia were as follows: (1) Biologically Inspired Cognitive Architectures, (2) Cognitive andMetacognitive Educational systems, (3) Complex Adaptive systems and the Threshold Effect: Views from the Natural and Social Sciences, (4) Manifold Learning and Its Applications, (5) Multirepresentational Architectures for Human-Level Intelligence, (6) The Uses of Computational Argumentation, and (7) Virtual Healthcare Interaction. Copyright © 2010, Association for the Advancement of Artificial Intelligence. All rights reserved.

关键词： Cognitive systems

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Optimal remote sensors trajectory planning for downscaling and assimilation problems

Optimal remote sensors trajectory planning for downscaling a...

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IEEE Conference on Decision and Control

作者： Christophe Tricaud YangQuan Chen Mac McKee Center of Self-Organizing and Intelligent Systems (CSOIS) Department of Electrical and Computer Engineering Utah State University Logan UT USA Utah State University Logan UT US

In this paper, our efforts focus on the downscaling problem in the framework of surface soil moisture. Our purpose is to introduce a new methodology to transform low-resolution remote sensing data (for example from a satellite) about soil moisture to higher resolution information that contains better information for use in hydrologic studies or water management decision making. Our goal is to obtain a high resolution data set with the help of a combination of ground measurements and low-altitude remote sensing (typically images obtained from a UAV). In the following, we first describe the methodology developed using only low-resolution information and ground truth. Then we introduce in two different way the optimal trajectories of remote sensors, first to solve the problem of maximum coverage knowing the location of ground measurements, then to solve the problem of optimal data assimilation to optimally improve the assimilation problem using remote sensors.

关键词： Image resolution Pixel Remote sensing Trajectory Data assimilation Meteorology Data models

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Adaptive Control of Flexible Structures using Residual Mode Filters

Adaptive Control of Flexible Structures using Residual Mode ...

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2010 49th IEEE Conference on Decision and Control

作者： Mark J. Balas Susan A. Frost Department Head of the Department of Electrical and Computer Engineering University of Wyoming Laramie WY 82071 USA Intelligent Systems Division NASA Ames Research Center Moffett Field CA 94035 USA

ISBN: (纸本)9781424477456

Flexible structures containing a large number of modes can benefit from adaptive control techniques which are well suited to applications that have unknown modeling parameters and poorly known operating conditions. In this paper, we focus on a direct adaptive control approach that has been extended to handle adaptive rejection of persistent disturbances. We extend our adaptive control theory to accommodate troublesome modal subsystems of a plant that might inhibit the adaptive controller. In some cases the plant does not satisfy the requirements of Almost Strict Positive Realness. Instead, there maybe be a modal subsystem that inhibits this property. This section will present new results for our adaptive control theory. We will modify the adaptive controller with a Residual Mode Filter (RMF) to compensate for the troublesome modal subsystem, or the Q modes. Here we present the theory for adaptive controllers modified by RMFs, with attention to the issue of disturbances propagating through the Q modes. We apply the theoretical results to a flexible structure example to illustrate the behavior with and without the residual mode filter.

关键词： Flexible structures adaptive control adaptive controller mode filter adaptive control theory SUB-SYSTEM RESIDUAL Control technology

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Parameter identification of a linear permanent magnet motor using particle swarm optimization

Parameter identification of a linear permanent magnet motor ...

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7th Annual International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Therdbankerd, Tithiwat Sanposh, Peerayot Chayopitak, Nattapon Fujita, Hideaki Department of Electrical Engineering Intelligent Mechatronics Automation Robotics and Control Laboratory Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-18 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

Accurate and effective parameter identification is an important engineering task in high performance control system design. One emerging approach to effectively identify such nonlinear or dynamic unknown parameters is to use Particle Swarm Optimization (PSO) algorithm. Linear Permanent Magnet (LPM) motor is a high performance actuator employed in many applications that require direct linear motion without mechanical transmission for high acceleration and accurate positioning. Therefore, accurate motor parameters are necessary to effectively control the LPM motors. This paper proposes a simple PSO based method with chirp inputs to identify the LPM motor's parameters. The simulations and experiments are conducted to verify the results and determine the effectiveness of the proposed method.

关键词： Parameter estimation

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Friction feedforward compensation and position feedforward in CNC machines

Friction feedforward compensation and position feedforward i...

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7th Annual International Conference on electrical engineering/Electronics, computer, Telecommunications and Information Technology, ECTI-CON 2010

作者： Suteeratanapirom, Wijin Rattanawaorahirankul, Rapeepong Laosapan, Chutima Sanposh, Peerayot Chayopitak, Nattapon Tungpimolrut, Kanokvate Kunieda, Hiroaki TAIST Tokyo Tech ICTES Program Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Intelligent Mechatronics Automation Robotics and Control Laboratory Department of Electrical Engineering Kasetsart University 50 Phahonyothin Rd. Ladyao Jatujak Bangkok 10903 Thailand Industrial Control and Automation Laboratory National Electronics and Computer Technology Center 112 Thailand Science Park Phahonyothin Rd. Klong 1 Klong Luang Pathumthani 12120 Thailand Department of Electrical and Electronic Engineering Tokyo Institute of Technology S3-65 2-12-1 Ookayama Meguro-ku Tokyo 152-8550 Japan

ISBN: (纸本)9789746724913

This research proposes a method to eliminate friction effect and reduced tracking error on CNC milling machines. A CNC milling machine has many connected mechanical components which have friction effects such as ball screws and rails. To control servo motors which are used to drive X-Y table in CNC milling machine, the conventional PID controller is widely used. In this research, Panasonic motor driver is set to the torque control mode. To compensate the friction effects, the friction feedforward compensation method is proposed. Moreover, to reduce the position tracking error, position feedforward controller is used. The simulation and implementation of position control in one axis of PID with Friction Feedforward Compensation and Position Feedforward Controller (FFC-PFC) are presented.

关键词： Friction

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Rotary nanomotors based on head-to-head nanotube shuttles

Rotary nanomotors based on head-to-head nanotube shuttles

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IEEE International Conference on robotics and Automation (ICRA)

作者： M. Hamdi A. Subramanian L. X. Dong A. Ferreira B. J. Nelson ENSI Bourges Institut PRISME Bourges France Center for Integrated Nanotechnologies Sandia National Laboratories Albuquerque NM USA Institute of Robotics and Intelligent Systems ETH Zurich Zurich Switzerland Department of Electrical & Computer Engineering Michigan State University East Lansing MI USA

A novel rotary nanomotor is described using two axially aligned, opposing chirality nanotube shuttles. Based on inter-shell screw-like motion of nanotubes, rotary motion is generated by electrostatically pulling the two cores together. Simulations using molecular dynamics show the generation of rotation from armchair nanotube pairs and their actuation properties. The simulation results, together with recently reported progress in realizing batch-fabricated ultra-high density nanotube shuttles, point towards the use of these motors as building blocks in nanoelectromechanical systems (NEMS) and nanorobotic systems for sensing, actuation, and computation applications.

关键词： Nanoelectromechanical systems Carbon nanotubes Micromotors Computational modeling intelligent robots Nanostructured materials Nanostructures Nanoscale devices Rotors Voltage

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