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Electrical and Computer Engineering Faculty Research & Creative Works

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Full-Text Articles in Engineering

Choice Of Utility Functions For Adaptive Critic Designs, Ganesh K. Venayagamoorthy Jan 2004

Choice Of Utility Functions For Adaptive Critic Designs, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

This paper first presents a general overview of Adaptive Critic Designs (ACDs) and their existing control applications. It describes the importance of the right choice of utility functions for the development of critic networks and their convergence to the cost-to-go function J. A closer look into the step by step derivation of a utility function for the design of an ACD nonlinear optimal neurocontroller to replace/augment the conventional controllers, the automatic voltage regulator and governor, in a power system consisting of a generator connected to the power grid is described and some results are presented.

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Investigation Of Cavity Resonances In An Automobile, Haixiao Weng, Daryl G. Beetner, Todd H. Hubing, Xiaopeng Dong, Richard W. Wiese, Joseph Mccallum Jan 2004

Investigation Of Cavity Resonances In An Automobile, Haixiao Weng, Daryl G. Beetner, Todd H. Hubing, Xiaopeng Dong, Richard W. Wiese, Joseph Mccallum

Electrical and Computer Engineering Faculty Research & Creative Works

Knowledge of cavity resonance within the automobile is needed to predict electromagnetic crosstalk between circuits in vehicle cavities. To quantify potential cavity resonances, resonance was studied within the passenger compartment of a standard automobile. Measured values of S11, S21 and Q (quality factor) are presented and their effect on crosstalk is discussed. Resonances were found at frequencies from 72 MHz to 303 MHz with quality factors ranging from 4 to 40.

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Learning To Learn-Concepts In A First Power Engineering Course, Badrul H. Chowdhury Jan 2004

Learning To Learn-Concepts In A First Power Engineering Course, Badrul H. Chowdhury

Electrical and Computer Engineering Faculty Research & Creative Works

Three well-known and widely accepted concepts in educational psychology are revisited. These are "inventory of learning styles," "taxonomy of educational objectives," and "metacognition." Relationships among these concepts are highlighted. Often, a student can develop his (or her) own learning style by the process of metacognition. Ideas are borrowed from these concepts for use in a first-level power systems course. It is beyond a doubt that both cognitive and metacognitive skills are necessary for students to succeed in any course. While a semester-long power systems course leaves little time for critical thinking and passive reflection for students, certain activities may very …

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Neuroidentification Of System Parameters Of The Upfc In A Multimachine Power System, Radha P. Kalyani, Ganesh K. Venayagamoorthy Jan 2004

Neuroidentification Of System Parameters Of The Upfc In A Multimachine Power System, Radha P. Kalyani, Ganesh K. Venayagamoorthy

Electrical and Computer Engineering Faculty Research & Creative Works

The crucial factor affecting the modern power systems today is load flow control. The Unified Power Flow Controller is an effective means for controlling the power flow. The UPFC is controlled conventionally using PI controllers. This paper presents the designs of neuroidentifiers that models the system dynamics one-time step ahead making the pathway for the design of adaptive neurocontrollers. Two neuroidentifiers are used for identifying the nonlinear dynamics of a multimachine power system and UPFC, one neuroidentifier for the shunt inverter and another for the series inverter. Simulation results carried out in the PSCAD/EMTDC environments on multimachine power system are …

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Optimal Diversity Combining Based On Noisy Channel Estimation, Jingxian Wu, Chengshan Xiao, N. C. Beaulieu Jan 2004

Optimal Diversity Combining Based On Noisy Channel Estimation, Jingxian Wu, Chengshan Xiao, N. C. Beaulieu

Electrical and Computer Engineering Faculty Research & Creative Works

The performances of coherent diversity receivers with noisy channel estimation are examined. Fading channel gain estimates are modeled as sums of the true fading channel gain values plus independent Gaussian distributed estimation errors. The optimal diversity receiver for coherent reception with noisy channel state information and independent and identically distributed fading channels is derived. Exact expressions for the average error probability of optimal diversity MPSK with noisy channel estimation are derived for Rayleigh and Ricean fading channels; closed-form expressions are obtained for some special cases. Some interesting observations regarding practical diversity receiver design for higher-order modulation formats are drawn.

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Space-Time Fading Correlation Functions Of A 3-D Mimo Channel Model, Sang-Yick Leong, Y. Rosa Zheng, Chengshan Xiao Jan 2004

Space-Time Fading Correlation Functions Of A 3-D Mimo Channel Model, Sang-Yick Leong, Y. Rosa Zheng, Chengshan Xiao

Electrical and Computer Engineering Faculty Research & Creative Works

Space-time correlation functions between the links of MIMO Rayleigh fading channels are derived using a new three-dimensional (3-D) cylinder scattering model. Closed form, mathematically tractable formulas are obtained for the space-time correlation functions for general MIMO systems where the base station and mobile station antennas may be arranged in 3-D space. It is shown that the correlation functions computed by the 3-D cylinder model are of significant difference than those of the conventional 2-D Clarke''s isotropic scattering model for vertically placed antennas. The general formulas of the correlation functions includes the 2-D Clarke''s model and the 3-D SIMO, MISO models …

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Spectrum Visualization And Measurement Of Power Parameters Of Microwave Wide-Band Noise, Marina Koledintseva, Alexander A. Kitaytsev, V. A. Konkin, V. Radchenko Jan 2004

Spectrum Visualization And Measurement Of Power Parameters Of Microwave Wide-Band Noise, Marina Koledintseva, Alexander A. Kitaytsev, V. A. Konkin, V. Radchenko

Electrical and Computer Engineering Faculty Research & Creative Works

A method for an adequate visualization of a microwave intense noise spectrum envelope in a wide frequency range (several octaves), measurement of its power parameters, and detection of a narrow-band signal with unknown frequency and power against the noise background is presented. This method is based on an application of a nonheterodyne principle of microwave frequency (and power) conversion using a gyromagnetic converter, which operates in two regimes in turn: the resonance detection and the cross-multiplication. A block scheme and an operation of a two-channel measuring device combining the mentioned functions are discussed.

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Swarm Intelligence For Digital Circuits Implementation On Field Programmable Gate Arrays Platforms, Ganesh K. Venayagamoorthy, Venu Gopal Gudise Jan 2004

Swarm Intelligence For Digital Circuits Implementation On Field Programmable Gate Arrays Platforms, Ganesh K. Venayagamoorthy, Venu Gopal Gudise

Electrical and Computer Engineering Faculty Research & Creative Works

Field programmable gate arrays (FPGAs) are becoming increasingly important implementation platforms for digital circuits. One of the necessary requirements to effectively utilize the FPGA's resources is an efficient placement and routing mechanism. This paper presents an optimization technique based on swarm intelligence for FPGA placement and routing. Mentor graphics technology mapping netlist file is used to generate initial FPGA placements and routings which are then optimized by particle swarm optimization (PSO). Results for the implementation of a binary coded decimal bidirectional counter and an arithmetic logic unit on a Xilinx FPGA show that PSO is a potential technique for solving …

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Mixing Electromagnetic And Electrical Circuit Simulations, W. C. Chew, Y. H. Chu, L. (Lijun) J. Jiang, I. T. Chiang, Y. C. Pan, J. S. Zhao Jan 2004

Mixing Electromagnetic And Electrical Circuit Simulations, W. C. Chew, Y. H. Chu, L. (Lijun) J. Jiang, I. T. Chiang, Y. C. Pan, J. S. Zhao

Electrical and Computer Engineering Faculty Research & Creative Works

No abstract provided.

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Discrete-Time Neural Network Output Feedback Control Of Nonlinear Systems In Non-Strict Feedback Form, P. He, Sarangapani Jagannathan Jan 2004

Discrete-Time Neural Network Output Feedback Control Of Nonlinear Systems In Non-Strict Feedback Form, P. He, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

An adaptive neural network (NN) -Based output feedback controller is proposed to deliver a desired tracking performance for a class of discrete-time nonlinear systems, which is represented in non-strict feedback form. the NN backstepping approach is utilized to design the adaptive output feedback controller consisting of 1) a NN observer to estimate the system states with the input-output data, and 2) two NNs to generate the virtual and actual control inputs, respectively. the non-causal problem in the discrete time backstepping design is avoided by using the universal NN approximator. the persistence excitation (PE) condition is relaxed both in the NN …

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Prediction Of Rotor Position At Standstill And Flying Shaft Conditions In Switched Reluctance Machines, M. Krishnamurthy, C. S. Edrington, Babak Fahimi Jan 2004

Prediction Of Rotor Position At Standstill And Flying Shaft Conditions In Switched Reluctance Machines, M. Krishnamurthy, C. S. Edrington, Babak Fahimi

Electrical and Computer Engineering Faculty Research & Creative Works

Development of a reliable, smooth, and precise position sensor less startup routine is an integral part of the Switched Reluctance Machine (SRM) control. the proposed sensor less startup method presented in this paper represents high grade performance and does not require additional hardware or memory. Further, the proposed sensor less technique is extended to flying shaft conditions. These capabilities are highly demanded by automotive applications such as starter/alternator and electric power steering systems. an assessment of the impact of motor parameters and diagnostic signal measurement on the quality of the sensor less startup method is also included. This will help …

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Reinforcement Learning-Based Output Feedback Control Of Nonlinear Systems With Input Constraints, P. He, Sarangapani Jagannathan Jan 2004

Reinforcement Learning-Based Output Feedback Control Of Nonlinear Systems With Input Constraints, P. He, Sarangapani Jagannathan

Electrical and Computer Engineering Faculty Research & Creative Works

A novel neural network (NN) -Based output feedback controller with magnitude constraints is designed to deliver a desired tracking performance for a class of multi-input-multi-output (MIMO) discrete-time strict feedback nonlinear systems. Reinforcement learning in discrete time is proposed for the output feedback controller, which uses three NNs: 1) a NN observer to estimate the system states with the input-output data; 2) a critic NN to approximate certain strategic utility function; and 3) an action NN to minimize both the strategic utility function and the unknown dynamics estimation errors. the magnitude constraints are manifested as saturation nonlinearities in the output feedback …

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Characterization Of Human Metal Esd Reference Discharge Event And Correlation Of Generator Parameters To Failure Levels-Part Ii: Correlation Of Generator Parameters To Failure Levels, Kai Wang, David Pommerenke, Ramachandran Chundru, Thomas Van Doren, Jiu Sheng Huang, Federico Centola Jan 2004

Characterization Of Human Metal Esd Reference Discharge Event And Correlation Of Generator Parameters To Failure Levels-Part Ii: Correlation Of Generator Parameters To Failure Levels, Kai Wang, David Pommerenke, Ramachandran Chundru, Thomas Van Doren, Jiu Sheng Huang, Federico Centola

Electrical and Computer Engineering Faculty Research & Creative Works

Most electrostatic discharge (ESD) generators are built in accordance with the IEC 61000-4-2 specifications. It is shown, that the voltage induced in a small loop correlates with the failure level observed in an ESD failure test on the systems comprised of fast CMOS devices, while rise time and derivative of the discharge current did not correlate well. The electric parameters of typical ESD generators and ESD generators that have been modified to reflect the current and field parameters of the human metal reference event are compared and the effect on the failure level of fast CMOS electronics is investigated. The …

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Distributed Power Control Of Cellular Networks In The Presence Of Channel Uncertainties, Maciej Jan Zawodniok, Q. Shang, Jagannathan Sarangapani Jan 2004

Distributed Power Control Of Cellular Networks In The Presence Of Channel Uncertainties, Maciej Jan Zawodniok, Q. Shang, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

A novel distributed power control (DPC) scheme for cellular networks in the presence of radio channel uncertainties such as path loss shadowing, and Rayleigh fading is presented. Since these uncertainties can attenuate the received signal strength and can cause variations in the received Signal-to-lnterference ratio (SIR), the proposed DPC scheme maintains a target SIR at the receiver provided the uncertainty is slowly varying with time. The DPC estimates the time varying nature of the channel quickly and uses the information to arrive at a suitable transmitter power value . Further, the standard assumption of a constant interference during a link's …

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Adaptive Critic Neural Network-Based Object Grasping Control Using A Three-Finger Gripper, Gustavo Galan, Jagannathan Sarangapani Jan 2004

Adaptive Critic Neural Network-Based Object Grasping Control Using A Three-Finger Gripper, Gustavo Galan, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

Grasping of objects has been a challenging task for robots. The complex grasping task can be defined as object contact control and manipulation subtasks. In this paper, object contact control subtask is defined as the ability to follow a trajectory accurately by the fingers of a gripper. The object manipulation subtask is defined in terms of maintaining a predefined applied force by the fingers on the object. A sophisticated controller is necessary since the process of grasping an object without a priori knowledge of the object's size, texture, softness, gripper, and contact dynamics is rather difficult. Moreover, the object has …

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Measuring The Robustness Of A Resource Allocation, Shoukat Ali, A. A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim Jan 2004

Measuring The Robustness Of A Resource Allocation, Shoukat Ali, A. A. Maciejewski, Howard Jay Siegel, Jong-Kook Kim

Electrical and Computer Engineering Faculty Research & Creative Works

Parallel and distributed systems may operate in an environment that undergoes unpredictable changes causing certain system performance features to degrade. Such systems need robustness to guarantee limited degradation despite fluctuations in the behavior of its component parts or environment. This research investigates the robustness of an allocation of resources to tasks in parallel and distributed systems. The main contributions are 1) a mathematical description of a metric for the robustness of a resource allocation with respect to desired system performance features against multiple perturbations in multiple system and environmental conditions, and 2) a procedure for deriving a robustness metric for …

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An Intelligent Dissolved Oxygen Microsensor System With Electrochemically Actuated Fluidics, Chang-Soo Kim, Jongwon Park, Xinbo He Jan 2004

An Intelligent Dissolved Oxygen Microsensor System With Electrochemically Actuated Fluidics, Chang-Soo Kim, Jongwon Park, Xinbo He

Electrical and Computer Engineering Faculty Research & Creative Works

A new dissolved oxygen monitoring microsystem is proposed to achieve in situ intelligent self-calibration by using an electrochemically actuated fluidic system. The electrochemical actuation, based on water electrolysis, plays two critical roles in the proposed microsystem. First, the electrochemically generated gases serve as the calibrants for the in situ 2-point calibration/diagnosis procedure of the microsensor in a chip. Secondly, the electrochemical generation and collapse of gas bubbles provide the driving force of the bidirectional fluidic manipulation for sampling and dispensing of the sample solution. A microsystem including a dissolved oxygen microprobe, electrochemical actuators, and a fluidic structure are prepared by …

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Analysis Of Chip-Level Emi Using Near-Field Magnetic Scanning, Xiaopeng Dong, Shaowei Deng, Todd H. Hubing, Daryl G. Beetner Jan 2004

Analysis Of Chip-Level Emi Using Near-Field Magnetic Scanning, Xiaopeng Dong, Shaowei Deng, Todd H. Hubing, Daryl G. Beetner

Electrical and Computer Engineering Faculty Research & Creative Works

Integrated circuits (ICs) are often a significant source of radiated energy from electronic systems. Well designed ICs maintain good control of the currents that they generate. However, poorly designed ICs can drive high-frequency noise currents onto nominally low-frequency input and output pins. These currents can excite unintentional radiating structures on the printed circuit board, resulting in radiated emissions that are difficult or expensive to control. The paper discusses the use of magnetic near-field scanning techniques to measure the current distribution in IC packages. This technique is applied to common ICs, including a clock driver, a memory module and a field …

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Supervisory Level Neural Network Identifier For A Small Power System With A Statcom And A Generator, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley Jan 2004

Supervisory Level Neural Network Identifier For A Small Power System With A Statcom And A Generator, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley

Electrical and Computer Engineering Faculty Research & Creative Works

A neural network based identifier is designed for effective control of a small power system. The power network in this work is considered from an external point of view, i.e., from a supervisory level. Such a neuroidentifier can serve as a general model of such a plant, and then used for different neural network based control schemes.

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Temperature Considerations In Solar Arrays, Steve Eugene Watkins, Min-Jung Wu, E. J. Timpson Jan 2004

Temperature Considerations In Solar Arrays, Steve Eugene Watkins, Min-Jung Wu, E. J. Timpson

Electrical and Computer Engineering Faculty Research & Creative Works

Temperature is an important consideration in the operation of photovoltaic (PV) arrays. In particular, daily and seasonal temperature variations are a limitation on the application of solar power to homes. At lower temperatures, PV systems produce more power. For higher temperatures, optimum operation requires modification of electrical load and removal of excess heat. Several technologies and approaches are available. To pursue this system optimization, PV cells were investigated at different temperatures. These investigations are compared with simulated theoretical results to draw more specific conclusions that can be applied to a solar house. A temperature reduction of 60⁰C improved the power …

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Time Series Prediction With A Weighted Bidirectional Multi-Stream Extended Kalman Filter, Donald C. Wunsch, Xiao Hu Jan 2004

Time Series Prediction With A Weighted Bidirectional Multi-Stream Extended Kalman Filter, Donald C. Wunsch, Xiao Hu

Electrical and Computer Engineering Faculty Research & Creative Works

This paper describes the use of a multi-stream extended Kalman filter (EKF) to tackle the IJCNN 2004 challenge problem - time series prediction on CATS benchmark. A weighted bidirectional approach was adopted in the experiments to incorporate the forward and backward predictions of the time series. EKF is a practical, general approach to neural networks training. It consists of the following: 1) gradient calculation by backpropagation through time (BPTT); 2) weight updates based on the extended Kalman filter; and 3) data presentation using multi-stream mechanics.

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Using Near-Field Scanning To Predict Radiated Fields, Jin Shi, Michael A. Cracraft, Jianmin Zhang, Richard E. Dubroff, Kevin P. Slattery, Masahiro Yamaguchi Jan 2004

Using Near-Field Scanning To Predict Radiated Fields, Jin Shi, Michael A. Cracraft, Jianmin Zhang, Richard E. Dubroff, Kevin P. Slattery, Masahiro Yamaguchi

Electrical and Computer Engineering Faculty Research & Creative Works

Near-field scanning has often been used to measure and characterize magnetic fields surrounding individual integrated circuits (IC) and high speed digital electronic circuits. The paper describes the use of near-field scanning data, performed in a typical laboratory bench top environment, to predict radiated electromagnetic interference (EMI) in a typical product environment. The product environment may include enclosures and apertures. The approach begins by acquiring sufficient near-field scanning data to allow representation of an unintentional radiating source by an equivalent surface current distribution. The equivalent current distribution is used as a source in numerical full wave modeling. The agreement between direct …

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A Unique Fault-Tolerant Design For Flying Capacitor Multilevel Inverter, Xiaomin Kou, Keith Corzine, Yakov L. Familiant Jan 2004

A Unique Fault-Tolerant Design For Flying Capacitor Multilevel Inverter, Xiaomin Kou, Keith Corzine, Yakov L. Familiant

Electrical and Computer Engineering Faculty Research & Creative Works

This paper presents a unique design for flying capacitor type multilevel inverters with fault-tolerant features. When a single-switch fault per phase occurs, the new design can still provide the same number of converting levels by shorting the fault power semiconductors and reconfiguring the gate controls. The most attractive point of the proposed design is that it can undertake the single-switch fault per phase without sacrificing power converting quality. Future more, if multiple faults occur in different phases and each phase have only one fault switch, the proposed design can still conditionally provide consistent voltage converting levels. This paper will also …

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A Discrete-Time Model For Triply Selective Mimo Rayleigh Fading Channels, Chengshan Xiao, Jingxian Wu, Sang-Yick Leong, Y. Rosa Zheng, Khaled Ben Letaief Jan 2004

A Discrete-Time Model For Triply Selective Mimo Rayleigh Fading Channels, Chengshan Xiao, Jingxian Wu, Sang-Yick Leong, Y. Rosa Zheng, Khaled Ben Letaief

Electrical and Computer Engineering Faculty Research & Creative Works

A statistical discrete-time model is proposed for simulating wideband multiple-input multiple-output (MIMO) fading channels which are triply selective due to angle spread, Doppler spread, and delay spread. The new discrete-time MIMO channel model includes the combined effects of the transmit filter, physical MIMO multipath channel fading, and receive filter, and it has the same sampling period as that of the MIMO receiver. This leads to very efficient simulation of physical continuous-time MIMO channels. A new method is also presented to efficiently generate the MIMO channel stochastic coefficients. The statistical accuracy of the discrete-time MIMO channel model is rigorously verified through …

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A Multiple Principal Components Based Adaptive Filter, Steven L. Grant Jan 2004

A Multiple Principal Components Based Adaptive Filter, Steven L. Grant

Electrical and Computer Engineering Faculty Research & Creative Works

Proportionate normalized least mean squares (PNLMS) is an adaptive filter that has been shown to provide exceptionally fast convergence and tracking when the underlying system parameters are sparse. A good example of such a system is a network echo canceller. Principal components based PNLMS (PCP) extends this fast convergence property to certain nonsparse systems by applying PNLMS while using the principal components of the underlying system as basis vectors. An acoustic echo canceller is a possible example of this type of nonsparse system. Simulations of acoustic echo paths and cancellers indicate that PCP converges and tracks much faster than the …

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Adaptive Load Frequency Control Of Nigerian Hydrothermal System Using Unsupervised And Supervised Learning Neural Networks, Ganesh K. Venayagamoorthy, U. O. Aliyu, S. Y. Musa Jan 2004

Adaptive Load Frequency Control Of Nigerian Hydrothermal System Using Unsupervised And Supervised Learning Neural Networks, Ganesh K. Venayagamoorthy, U. O. Aliyu, S. Y. Musa

Electrical and Computer Engineering Faculty Research & Creative Works

This work presents a novel load frequency control design approach for a two-area power system that relies on unsupervised and supervised learning neural network structure. Central to this approach is the prediction of the load disturbance of each area at every minute interval that is uniquely assigned to a cluster via unsupervised learning process. The controller feedback gains corresponding to each cluster center are determined using modal control technique. Thereafter, supervised learning neural network (SLNN) is employed to learn the mapping between each cluster center and its feedback gains. A real time load disturbance in either or both areas activates …

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Adaptive Force-Balancing Control Of Mems Gyroscope With Actuator Limits, Mohammed Hameed, Jagannathan Sarangapani Jan 2004

Adaptive Force-Balancing Control Of Mems Gyroscope With Actuator Limits, Mohammed Hameed, Jagannathan Sarangapani

Electrical and Computer Engineering Faculty Research & Creative Works

This work presents an adaptive force-balancing control (AFBC) scheme with actuator limits for a MEMS Z-axis gyroscope. The purpose of the adaptive force-balancing control is to identify major fabrication imperfections so that they are properly compensated unlike the case of conventional force-balancing controlled gyroscope. The proposed AFBC scheme controls the vibratory modes of the proof mass while ensuring that the control input satisfies the magnitude constraints and the performance of the gyroscope is enhanced in the presence of fabrication uncertainties. Consequently, commonly reported problems of MEMS gyroscope such as quadrature compensation, drive and sense axes frequency tuning are not needed …

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Boost Integrated Push-Pull Rectifier With Power Factor Correction And Output Voltage Regulation Using A New Digital Control Technique, Zhong Nie, Mehdi Ferdowsi, Ali Emadi Jan 2004

Boost Integrated Push-Pull Rectifier With Power Factor Correction And Output Voltage Regulation Using A New Digital Control Technique, Zhong Nie, Mehdi Ferdowsi, Ali Emadi

Electrical and Computer Engineering Faculty Research & Creative Works

An integrated converter is a synthesized converter based on the overall system integration, which is simplified by the system objective and can implement the system functions similar to the discrete converters. An integrated converter consists of converter sets; each converter set has a special function defined by the designer. A family of DC/DC Boost based integrated rectifiers with two active switches can be derived by the integration concept. In this paper, Boost + Push-Pull integrated converter is introduced and derived. To regulate the output voltage and shape the input current, a new simple digital control method is applied. In contrast …

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Characterization Of Human Metal Esd Reference Discharge Event And Correlation Of Generator Parameters To Failure Levels-Part I: Reference Event, Ramachandran Chundru, David Pommerenke, Kai Wang, Thomas Van Doren, Jiu Sheng Huang, Federico Centola Jan 2004

Characterization Of Human Metal Esd Reference Discharge Event And Correlation Of Generator Parameters To Failure Levels-Part I: Reference Event, Ramachandran Chundru, David Pommerenke, Kai Wang, Thomas Van Doren, Jiu Sheng Huang, Federico Centola

Electrical and Computer Engineering Faculty Research & Creative Works

Electrostatic discharge (ESD) generators are used for testing the robustness of electronics toward ESD. Most generators are built in accordance with the IEC 61000-4-2 specifications. Using only a few parameters, this standard specifies the peak current, the rise time and the falling edge. Lacking a transient field specification, test results vary depending on which generator is used, even if the currents are quite similar. Such a specification is needed to improve the test repeatability. As for the current, the specification should be based on a reference human metal ESD event. While keeping the presently set peak current and rise time …

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Cause And Effects Of Voltage Collapse -- Case Studies With Dynamic Simulations, Feng Dong, Mariesa Crow, Badrul H. Chowdhury, Levent Acar Jan 2004

Cause And Effects Of Voltage Collapse -- Case Studies With Dynamic Simulations, Feng Dong, Mariesa Crow, Badrul H. Chowdhury, Levent Acar

Electrical and Computer Engineering Faculty Research & Creative Works

Voltage collapse studies are made to gain an insight into mechanisms that drive a system into collapse. The inter-play of generator controls in local and external areas are explored. Simulations are carried out on a medium sized network by a transient dynamic simulation program. Simulation results help to better understand remediation strategies. The time dependent characteristics of corrective controls are investigated.

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