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Electrical and Computer Engineering Faculty Research & Creative Works

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Full-Text Articles in Engineering

Differential Eeg, Sheng Feng Yen, Daniel Schoonover, Justin C. Sanchez, Jose C. Principe, John G. Harris Oct 2009

Differential Eeg, Sheng Feng Yen, Daniel Schoonover, Justin C. Sanchez, Jose C. Principe, John G. Harris

Electrical and Computer Engineering Faculty Research & Creative Works

We propose to improve the spatial resolution of electroencephalography (EEG) using a differential recording methodology. Conventional EEG (CEEG) systems independently amplify and digitize the signal from each electrode. The Differential EEG (DEEG) approach amplifies the minute difference signal between neighboring electrodes which greatly eases the burden on the subsequent amplification and data conversion stages. A custom DEEG system was designed and fabricated in a 0.6 um CMOS process. The fabricated chip was built into a small prototype DEEG recording system used to measure alpha waves from the occipital lobe of a human subject. We show that the differential approach suffers …

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An Integrated Recording System Using An Asynchronous Pulse Representation, Sheng Feng Yen, Jie Xu, Manu Rastogi, John G. Harris, Jose C. Principe, Justin C. Sanchez Oct 2009

An Integrated Recording System Using An Asynchronous Pulse Representation, Sheng Feng Yen, Jie Xu, Manu Rastogi, John G. Harris, Jose C. Principe, Justin C. Sanchez

Electrical and Computer Engineering Faculty Research & Creative Works

A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. It demonstrates the first step in the development of a complete implanted wireless solution with fully integrated circuit architecture. A recording experiment comparing in parallel a commercial recording system (Tucker-Davis Technology (TDT)) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train, which provides a low-power, low-bandwidth, noise-resistant means for coding and transmission. Taking advantage of neural firing features, the pulse-based approach uses …

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Periodicity Detection And Localization Using Spike Timing From The Aer Ear, Theodore Yu, Andrew Schwartz, John Harris, Malcolm Slaney, Shih Chii Liu Oct 2009

Periodicity Detection And Localization Using Spike Timing From The Aer Ear, Theodore Yu, Andrew Schwartz, John Harris, Malcolm Slaney, Shih Chii Liu

Electrical and Computer Engineering Faculty Research & Creative Works

We present a system consisting of a spiking cochlea chip and real-time event-based processing software that is able to discriminate between two sets of sounds based on their periodicity content. The periodicity measurements are computed from the spike timing information of asynchronous output spikes from the binaural spiking-cochlea chip. The chip consists of a matched pair of silicon cochlea with an address event interface for the output. Each section of the cochlea is modeled by a second-order low-pass filter followed by a simplified Inner Hair Cell circuit and a Spiking Neuron circuit. We show discrimination results using the periodicity measure …

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A Low-Complexity Hardware Implementation Of Discrete-Time Frequency-Selective Rayleigh Fading Channels, Fei Ren, Yahong R. Zheng Oct 2009

A Low-Complexity Hardware Implementation Of Discrete-Time Frequency-Selective Rayleigh Fading Channels, Fei Ren, Yahong R. Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

A low-complexity hardware implementation method is proposed for discrete-time frequency-selective Rayleigh fading channels. the proposed method first employs the Sum-of-Sinusoids method to generate multiple independent flat fading channel responses, then utilizes a simple weight-delay-sum filtering method to incorporate the fractionally delayed multipath rays into inter-tap correlated tap gains. It thus achieves accurate correlation properties in both inter-tap correlation and temporal correlation (or Doppler spectrum). the proposed method is implemented by an Altera Stratix II FPGA development kit and the results show excellent performance match with those by MATLAB software simulations. ©2009 IEEE.

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A New Variable Step-Size Fractional Lower-Order Moment Algorithm For Non-Gaussian Interference Environments, Tiange Shao, Yahong Rosa Zheng Oct 2009

A New Variable Step-Size Fractional Lower-Order Moment Algorithm For Non-Gaussian Interference Environments, Tiange Shao, Yahong Rosa Zheng

Electrical and Computer Engineering Faculty Research & Creative Works

A new variable step-size fractional lower-order moment (FLOM) algorithm is proposed for non-Gaussian interference suppression. the Normalized FLOM algorithm is a generalization of the normalized least mean square (NLMS) algorithm with a lower order p ≤ 2 and p = 2 corresponding to the NLMS algorithm. with a fixed step size, the smaller the order p, the faster the convergence of the NFLOM algorithm, but the higher the excess mean square errors (MSE) after convergence. the proposed vs.S-FLOM provides a compromise solution to the two conflicting goals of low excess MSE and fast convergence. Simulation results for a system identification …

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Biologically Plausible Speech Recognition Using Spike-Based Phase Locking Cues, Ismail Uysal, John G. Harris Oct 2009

Biologically Plausible Speech Recognition Using Spike-Based Phase Locking Cues, Ismail Uysal, John G. Harris

Electrical and Computer Engineering Faculty Research & Creative Works

A biologically plausible algorithm is proposed for phoneme recognition that makes use of spikes for computation. The prototype system is demonstrated on voiced phonemes and shows competitive performance with state-of-the-art systems on a vowel dataset in the presence of noise. Using novel phase locking cues, the algorithm performs surprisingly well down to SNR values as low as 5dB, where the performance of the baseline algorithm used for comparison drops considerably. These results suggest, not only a possible explanation for the extreme noise robustness of human recognition, but also a novel technique for information processing for speech signals with computers. ©2009 …

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Low Power Integrate And Fire Circuit For Data Conversion, Manu Rastogi, Vaibhav Garg, John G. Harris Oct 2009

Low Power Integrate And Fire Circuit For Data Conversion, Manu Rastogi, Vaibhav Garg, John G. Harris

Electrical and Computer Engineering Faculty Research & Creative Works

We have developed an adaptively biased Integrate and Fire (I&F) circuit to reduce the power consumption of our ADC replacement approach. Unlike conventional circuits this I&F consumes no standby power. Power consumed is input signal dependent and increases exponentially as the input approaches the set threshold value. We describe the circuit model and present an intuitive as well as mathematical model for the power savings. Results from the chip fabricated in AMI 0.6 μm technology are also presented. ©2009 IEEE.

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A Biphasic Integrate-And-Fire System, Sheng Feng Yen, Jie Xu, Manu Rastogi, John G. Harris, Jose C. Principe, Justin C. Sanchez Oct 2009

A Biphasic Integrate-And-Fire System, Sheng Feng Yen, Jie Xu, Manu Rastogi, John G. Harris, Jose C. Principe, Justin C. Sanchez

Electrical and Computer Engineering Faculty Research & Creative Works

A neuronal recording system for brain-machine interfaces (BMI) based on asynchronous biphasic pulse coding is described. It demonstrates the first step in the development of a completely implanted wireless solution with a fully integrated circuit architecture. A recording experiment comparing, in parallel, a commercial recording system (Tucker-Davis Technology (TDT)) and the UF's custom solution (FWIRE) is set up to compare performance. The novel aspect of the UF system is that the analog signal is represented by an asynchronous pulse train, which provides a low-power, low-bandwidth, noise resistant means for coding and transmission. Taking advantage of neural firing features, the pulse-based …

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Neural Network Demodulation For An Optical Sensor, Steve Eugene Watkins, Donald C. Wunsch, Rohit Dua Oct 2009

Neural Network Demodulation For An Optical Sensor, Steve Eugene Watkins, Donald C. Wunsch, Rohit Dua

Electrical and Computer Engineering Faculty Research & Creative Works

Methods and systems of neural network demodulation for an optical sensor. An optical sensor may be coupled to a structure and be capable of reflecting a reflected optical signal. A wavelength of the reflected optical signal may be spread based on a strain being applied to the structure. A replication device may receive the reflected optical signal from the optical sensor and produce a plurality of optical signals. A filter may be coupled to the replication device to receive an optical signal from the plurality of optical signals and filter the received optical signal. A detector may receive the filtered …

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An Improved Nonlinear Statcom Control For Electric Arc Furnace Voltage Flicker Mitigation, Atousa Yazdani, Mariesa Crow, Jianjun Guo Oct 2009

An Improved Nonlinear Statcom Control For Electric Arc Furnace Voltage Flicker Mitigation, Atousa Yazdani, Mariesa Crow, Jianjun Guo

Electrical and Computer Engineering Faculty Research & Creative Works

Electric arc furnaces (EAFs) are prevalent in the steel industry to melt iron and scrap steel. EAFs frequently cause large amplitude fluctuations of active and reactive power and are the source of significant power-quality (PQ) disturbances. Static synchronous compensators (STATCOMs) provide a power-electronic-based means of embedded control for reactive power support and PQ improvement. This paper introduces a new nonlinear control for the STATCOM that provides significant reduction in EAF-induced aperiodic oscillations on the power system. This method is compared with traditional PI controls and has shown to have improved performance.

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Current Sensing For Automotive Electronics -- A Survey, Asha Patel, Mehdi Ferdowsi Oct 2009

Current Sensing For Automotive Electronics -- A Survey, Asha Patel, Mehdi Ferdowsi

Electrical and Computer Engineering Faculty Research & Creative Works

Current sensing is widely used in power electronic applications such as dc-dc power converters and adjustable-speed motor drives. Such power converters are the basic building blocks of drivetrains in electric, hybrid, and plug-in hybrid electric vehicles. The performance and control of such vehicles depend on the accuracy, bandwidth, and efficiency of its sensors. Various current-sensing techniques based on different physical effects such as Faraday's induction law, Ohm's law, Lorentz force law, the magnetoresistance effect, and the magnetic saturation effect are described in this paper. Each technique is reviewed and examined. The current measurement methods are compared and analyzed based on …

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Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier Oct 2009

Reinforcement-Learning-Based Output-Feedback Control Of Nonstrict Nonlinear Discrete-Time Systems With Application To Engine Emission Control, Peter Shih, Brian C. Kaul, Jagannathan Sarangapani, J. A. Drallmeier

Electrical and Computer Engineering Faculty Research & Creative Works

A novel reinforcement-learning-based output adaptive neural network (NN) controller, which is also referred to as the adaptive-critic NN controller, is developed to deliver the desired tracking performance for a class of nonlinear discrete-time systems expressed in nonstrict feedback form in the presence of bounded and unknown disturbances. The adaptive-critic NN controller consists of an observer, a critic, and two action NNs. The observer estimates the states and output, and the two action NNs provide virtual and actual control inputs to the nonlinear discrete-time system. The critic approximates a certain strategic utility function, and the action NNs minimize the strategic utility …

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Estimation Of Channel Transfer Function And Carrier Frequency Offset For Ofdm Systems With Phase Noise, Jun Tao, Jingxian Wu, Chengshan Xiao Oct 2009

Estimation Of Channel Transfer Function And Carrier Frequency Offset For Ofdm Systems With Phase Noise, Jun Tao, Jingxian Wu, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

The joint estimation of carrier frequency offset (CFO) and channel transfer function (CTF) for orthogonal frequency-division multiplexing (OFDM) systems with phase noise is discussed in this paper. A CFO estimation algorithm is developed by exploring the time-frequency structure of specially designed training symbols, and it provides a very accurate estimation of the CFO in the presence of both unknown frequency-selective fading and phase noise. Based on the estimated CFO, phase noise and frequency-selective fading are jointly estimated by employing the maximum a posteriori (MAP) criterion. Specifically, the fading channel is estimated in the form of the frequency-domain CTF. The estimation …

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Energy-Efficient Multi-Key Security Scheme For Wireless Sensor Network, Sandeep Kolli, Maciej Jan Zawodniok Oct 2009

Energy-Efficient Multi-Key Security Scheme For Wireless Sensor Network, Sandeep Kolli, Maciej Jan Zawodniok

Electrical and Computer Engineering Faculty Research & Creative Works

This paper proposes multi-key encryption scheme and engine architecture (MKE) that increases security and optimizes energy efficiency of sensor networks, while minimizing modifications to existing implementations. The scheme improves security of AES against correlation power analysis (CPA) attack by employing MKE engine, breaking the correlation between power consumption and the used key. Other schemes utilize complex hardware designs, for example by using the inhomogeneous s-boxes that reduce energy efficiency of the engine. In contrast, the proposed hardware engine uses a randomly sequence of few keys to encode subsequent blocks of a messages. Additionally, the scheme improves security of AES against …

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Optimal Placement And Signal Selection For Wide-Area Controlled Upfcs For Damping Power System Oscillations, Mahyar Zarghami, Mariesa Crow Sep 2009

Optimal Placement And Signal Selection For Wide-Area Controlled Upfcs For Damping Power System Oscillations, Mahyar Zarghami, Mariesa Crow

Electrical and Computer Engineering Faculty Research & Creative Works

The paper discusses an optimal placement for UPFCs and an optimal method for the selection of global measurements in a wide-area controlled network for the purpose of damping power system oscillations. Both the placement and signal selection methods are optimized to damp interarea oscillations. Optimal UPFC placement is identified by comparing different candidate placements based on the total damping they produce. Optimal selection of output measurements is based on the projection of the right eigenvectors on outputs. after the selection of the desired output measurements, observer gains are designed by LMI approaches. Test results from the IEEE 57 bus test …

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Getting An Nsf Career Award And Beyond, Ganesh Kumar Venayagamoorthy Sep 2009

Getting An Nsf Career Award And Beyond, Ganesh Kumar Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

The National Science Foundation (NSF), USA, CAREER program is a premier program that emphasizes the importance the Foundation places on the early development of academic careers solely dedicated to stimulating the discovery process in which the excitement of research enriched by inspired teaching and enthusiastic learning. This paper presents the research and education experiences gained by the principal investigator - Vinayagamoorthy and his research collaborators and students as a result of a NSF CAREER proposal been awarded by the Power, Control and Adaptive Networks (PCAN) program of the Electrical, Communications and Cyber Systems Division, effective June 1, 2004. the main …

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Improving The Dynamic Performance Of Wind Farms With Statcom, Aditya P. Jayam, Badrul H. Chowdhury Sep 2009

Improving The Dynamic Performance Of Wind Farms With Statcom, Aditya P. Jayam, Badrul H. Chowdhury

Electrical and Computer Engineering Faculty Research & Creative Works

When integrated to the power system, large wind farms can pose voltage control issues among other problems. a thorough study is needed to identify the potential problems and to develop measures to mitigate them. Although integration of high levels of wind power into an existing transmission system does not require a major redesign, it necessitates additional control and compensating equipment to enable (fast) recovery from severe system disturbances. the use of a Static Synchronous Compensator (STATCOM) near a wind farm is investigated for the purpose of stabilizing the grid voltage after grid-side disturbance such as a three-phase short circuit fault. …

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A Variable Step-Size Lmp Algorithm For Heavy-Tailed Interference Suppression In Phased Array Radar, Yahong Rosa Zheng, Tiange Shao Sep 2009

A Variable Step-Size Lmp Algorithm For Heavy-Tailed Interference Suppression In Phased Array Radar, Yahong Rosa Zheng, Tiange Shao

Electrical and Computer Engineering Faculty Research & Creative Works

A new variable step-size Least Mean p-norm (VSS-LMP) algorithm is proposed for phased array radar application with space-time adaptive processing to combat heavy-tailed non-Gaussian clutters. the algorithms automatically change the step size according to the estimated p-th and (2p - 2)-th moments of the error, where 1 ≤ p ≤ 2. the algorithm is evaluated via a space-slow-time STAP example and the excess Mean Square Error (MSE) and mis adjustment results show that the proposed vs.S-LMP converges fast and reaches lower steady-state error than the fixed step size LMP. It also provides a better compromise between convergence speed and low …

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Performances Of Variable Step-Size Adaptive Algorithms In Non-Gaussian Interference Environments, Yahong Rosa Zheng, Robert Lynch Sep 2009

Performances Of Variable Step-Size Adaptive Algorithms In Non-Gaussian Interference Environments, Yahong Rosa Zheng, Robert Lynch

Electrical and Computer Engineering Faculty Research & Creative Works

Two variable step-size normalized least mean square (VSS-NLMS) algorithms, namely the non-parametric vs.S-NLMS and Switched Mode vs.S-NLMS, are reformulated into complex signal form for STAP applications. the performances of these two vs.S NLMS algorithms in Gaussian and compound-K clutters are evaluated via a phased array space-slow-time STAP example. We find that the mis adjustment behaviors are inconsistent with the excess MSEs which is a better measure of STAP performance. Both vs.S-NLMS algorithms outperform conventional fixed step size (FSS) NLMS algorithms with fast convergence and low steady-state excess MSE. the SM-VSS-NLMS provides a better performance compromise than the NP-VSS-NLMS with much …

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Perovskite-Type Oxide Thin Film Integrated Fiber Optic Sensor For High-Temperature Hydrogen Measurement, Xiling Tang, Kurtis Remmel, Xinwei Lan, Jiangdong Deng, Hai Xiao, Junhang Dong Sep 2009

Perovskite-Type Oxide Thin Film Integrated Fiber Optic Sensor For High-Temperature Hydrogen Measurement, Xiling Tang, Kurtis Remmel, Xinwei Lan, Jiangdong Deng, Hai Xiao, Junhang Dong

Electrical and Computer Engineering Faculty Research & Creative Works

Small size fiber optic devices integrated with chemically sensitive photonic materials are emerging as a new class of high-performance optical chemical sensor that have the potential to meet many analytical challenges in future clean energy systems and environmental management. Here, we report the integration of a proton conducting perovskite oxide thin film with a long-period fiber grating (LPFG) device for high-temperature in situ measurement of bulk hydrogen in fossil- and biomass-derived syngas. the perovskite-type Sr(Ce 0.8Zr0.1)Y0.1O2.95 (SCZY) nanocrystalline thin film is coated on the 125 μm diameter LPFG by a facile polymeric precursor route. This fiber optic sensor (FOS) operates …

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Effects Of Spectral Radius And Settling Time In The Performance Of Echo State Networks, Ganesh K. Venayagamoorthy, Bashyal Shishir Sep 2009

Effects Of Spectral Radius And Settling Time In The Performance Of Echo State Networks, Ganesh K. Venayagamoorthy, Bashyal Shishir

Electrical and Computer Engineering Faculty Research & Creative Works

Echo State Networks (ESNs) have tremendous potential on a variety of problems if successfully designed. the effects of varying two important ESN parameters, the spectral radius (α) and settling time (ST) are studied in this letter. Spectral radius of an ESN is the maximum of all eigenvalues of the reservoir weights whereas ST is measured by the number of iterations allowed in the reservoir after its excitation by an input and before the sampling of the ESN output. the influence of these parameters on the performance of an ESN is illustrated using three different types of problems. These problems include …

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Reliability Analysis For The Advanced Electric Power Grid: From Cyber Control And Communication To Physical Manifestations Of Failure, Ayman Z. Faza, Sahra Sedigh, Bruce M. Mcmillin Sep 2009

Reliability Analysis For The Advanced Electric Power Grid: From Cyber Control And Communication To Physical Manifestations Of Failure, Ayman Z. Faza, Sahra Sedigh, Bruce M. Mcmillin

Electrical and Computer Engineering Faculty Research & Creative Works

The advanced electric power grid is a cyber-physical system comprised of physical components, such as transmission lines and generators, and a network of embedded systems deployed for their cyber control. The objective of this paper is to qualitatively and quantitatively analyze the reliability of this cyber-physical system. The original contribution of the approach lies in the scope of failures analyzed, which crosses the cyber-physical boundary by investigating physical manifestations of failures in cyber control. As an example of power electronics deployed to enhance and control the operation of the grid, we study Flexible AC Transmission System (FACTS) devices, which are …

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Pulsed Em Field Response Of A Thin, High-Contrast, Finely Layered Structure With Dielectric And Conductive Properties, Adrianus T. De Hoop, Lijun Jiang Aug 2009

Pulsed Em Field Response Of A Thin, High-Contrast, Finely Layered Structure With Dielectric And Conductive Properties, Adrianus T. De Hoop, Lijun Jiang

Electrical and Computer Engineering Faculty Research & Creative Works

The response of a thin, high-contrast, finely layered structure with dielectric and conductive properties to an incident, pulsed, electromagnetic field is investigated theoretically. The fine layering causes the standard spatial discretization techniques to solve Maxwell's equations numerically to be practically inapplicable. To overcome this difficulty, an approximate method is proposed that models the interaction of the layer with an incident electromagnetic field via a boundary condition that expresses the in-plane conduction and contrast electric polarization currents in terms of the exciting incident field by relating the jump in the tangential component of the magnetic field strength across the layer in …

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A Novel Tdr-Based Coaxial Cable Sensor For Crack/Strain Sensing In Reinforced Concrete Structures, Shishuang Sun, David Pommerenke, James L. Drewniak, Genda Chen, Liang Xue, Michael A. Brower, Marina Koledintseva Aug 2009

A Novel Tdr-Based Coaxial Cable Sensor For Crack/Strain Sensing In Reinforced Concrete Structures, Shishuang Sun, David Pommerenke, James L. Drewniak, Genda Chen, Liang Xue, Michael A. Brower, Marina Koledintseva

Electrical and Computer Engineering Faculty Research & Creative Works

Novel coaxial cable sensors that feature high sensitivity and high spatial resolution are developed for health monitoring of concrete structures using a time-domain reflectometry (TDR). The new sensor was designed based on the topology change of its outer conductor, which was fabricated with tightly wrapped commercial tin-plated steel spiral covered with solder. The cracks that developed within concrete structures will lead to out-of-contact of local steel spirals. This topology change results in a large impedance discontinuity that can be measured with a TDR. A simplified equivalent transmission line model and numerical full-wave simulations using finite-difference time-domain techniques were used to …

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Near-Field Millimeter-Wave Imaging Of Exposed And Covered Fatigue Cracks, Sergey Kharkovsky, Mohammad Tayeb Ahmad Ghasr, R. Zoughi Jul 2009

Near-Field Millimeter-Wave Imaging Of Exposed And Covered Fatigue Cracks, Sergey Kharkovsky, Mohammad Tayeb Ahmad Ghasr, R. Zoughi

Electrical and Computer Engineering Faculty Research & Creative Works

In this paper, the efficacy of near-field millimeter-wave nondestructive techniques, using open-ended flange-mounted rectangular waveguide probes, for extracting information of 3-D crack area deformation (i.e., in-plane and out-of-plane deformation) is demonstrated. It is shown that this information can be obtained from indications of unique interference patterns that are generated between the probe and the metal surface during the raster scan of a surface-breaking exposed and covered fatigue crack using a phase-sensitive reflectometer.

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Optimal Design Of Induction Generators For Space Applications, Sushant P. Barave, Badrul H. Chowdhury Jul 2009

Optimal Design Of Induction Generators For Space Applications, Sushant P. Barave, Badrul H. Chowdhury

Electrical and Computer Engineering Faculty Research & Creative Works

A high frequency electromechanical energy conversion option for space power applications is introduced. an induction generator (IG) operating at high frequencies is an excellent option for obtaining high power and energy densities. Various design aspects affect the operating characteristics of the machine. the effects and consequences of specific trade-offs in the design process are explored. the methodology is helpful in evaluating specific choices for materials as well as machine configurations. Use of power semiconductor devices and other power electronic devices is avoided to provide immunity from radiation and electromagnetic interference. © 2006 IEEE.

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Rfid-Based Smart Freezer, Ahmet Soylemezoglu, Maciej Jan Zawodniok, Jagannathan Sarangapani Jul 2009

Rfid-Based Smart Freezer, Ahmet Soylemezoglu, Maciej Jan Zawodniok, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a novel radio-frequency identification (RFID)-based smart freezer using a new inventory-management scheme for extremely low temperature environments. The proposed solution utilizes backpressure inventory control, systematic selection of antenna configuration, and antenna power control. The proposed distributed-inventory-control (DIC) scheme dictates the amount of items transferred through the supply chain. when a high item visibility is ensured, the control scheme maintains the desired level of inventory at each supply-chain echelon. The performance of the DIC scheme is guaranteed using a Lyapunov-based analysis. The proposed RFID antenna-configuration design methodology coupled with locally asymptotically stable distributed power control ensures a 99% …

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Economic Dispatch Of A Differential Evolution Based Generator Maintenance Scheduling Of A Power System, Yusuf Yare, Ganesh K. Venayagamoorthy, Ahmed Yousuf Saber Jul 2009

Economic Dispatch Of A Differential Evolution Based Generator Maintenance Scheduling Of A Power System, Yusuf Yare, Ganesh K. Venayagamoorthy, Ahmed Yousuf Saber

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents generator maintenance scheduling (GMS) and economic dispatch (ED) of the Indonesian power system based on minimization of an economic cost function for the economical and reliable operation of a power system, while satisfying crew/manpower, maintenance window, load demand, generation limits and spinning reserve constraints. Differential evolution (DE), an evolutionary computation technique and an optimization algorithm that utilizes the differential information to guide its further search, is known to effectively solve large scale optimization problems and has been widely applied in power system. In this paper, the DE approach is proposed for solving the GMS problem and the …

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Hardware Implementation Of A Mamdani Fuzzy Logic Controller For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Satish Rajagopalan, Ronald G. Harley Jul 2009

Hardware Implementation Of A Mamdani Fuzzy Logic Controller For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Satish Rajagopalan, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

A Mamdani-type fuzzy logic controller is designed and implemented in hardware for controlling a static compensator (STATCOM), which is connected to a ten-bus multimachine power system. Such a controller does not need any mathematical model of the plant to be controlled and can efficiently provide control signals for the STATCOM over a wide range of operating conditions of the power system and during different disturbances. The proposed controller is implemented using the M67 digital signal processor board and is interfaced to the multimachine power system simulated on a real-time digital simulator. Experimental results are provided, showing that the proposed Mamdani …

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Optical Fiber Harsh Environment Sensors, Hai Xiao, Tao Wei, Xinwei Lan, Yinan Zhang Jul 2009

Optical Fiber Harsh Environment Sensors, Hai Xiao, Tao Wei, Xinwei Lan, Yinan Zhang

Electrical and Computer Engineering Faculty Research & Creative Works

Various optical fiber harsh environment sensors were reported, including the miniaturized inline Fabry-Perot interferometer sensor by femtosecond laser micromachining, the long period fiber grating sensor and the inline core-cladding mode interferometer by CO2 laser irradiations.

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