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Articles 1951 - 1980 of 3518
Full-Text Articles in Engineering
Modeling Multilayer Power Distribution Network By Systematically Incorporating Via And Cavity Models, Yaojiang Zhang, Francesco De Paulis, Jun Fan
Modeling Multilayer Power Distribution Network By Systematically Incorporating Via And Cavity Models, Yaojiang Zhang, Francesco De Paulis, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
A closed-form expression for via barrel-plate capacitances is derived. This results in a more accurate equivalent circuit model for decoupling capacitors including both parasitic inductances and via capacitances. Multilayer power distribution network (PDN) is then analyzed by incorporating the circuit models of both vias and parallel plane pair. Circuit simulator is used to evaluate the coupling properties among various locations in the multilayer PDN structures.
The Time Derivative Neuron, Jie Xu, John G. Harris
The Time Derivative Neuron, Jie Xu, John G. Harris
Electrical and Computer Engineering Faculty Research & Creative Works
We have developed the time derivative neuron to reduce the bandwidth needed to encode continuous-time input signals using spiking neuron models. Unlike conventional spiking neuron models, the time derivative neuron generates more spikes in regions of high change and is essentially invariant to DC shifts of the input. We describe the model and develop an efficient reconstruction algorithm to demonstrate its reconstruction accuracy and transmission bandwidth. The idea has both digital and analog hardware realizations and we show a SPICE transistor-level simulation of an efficient analog CMOS implementation. ©2008 IEEE.
Pulse-Based Signal Compression For Implanted Neural Recording Systems, John G. Harris, José C. Principe, Justin C. Sanchez, Du Chen, Christy She
Pulse-Based Signal Compression For Implanted Neural Recording Systems, John G. Harris, José C. Principe, Justin C. Sanchez, Du Chen, Christy She
Electrical and Computer Engineering Faculty Research & Creative Works
Today's implanted neural systems are bound by tight constraints on power and communication bandwidth. Most conventional ADC-based approaches fall into two categories. Either they transmit all of the information at the Nyquist rate but are ultimately limited to only a handful of channels due to communication bandwidth constraints. Or they perform spike detection on the front-end which allows a scale up to 100 or more channels but prevents the use of spike sorting on the backend. Spike sorting is an important step that provides a labeling to multiple neurons on each channel and further improves the accuracy of spike detection. …
Novel Variable Step Size Nlms Algorithms For Echo Cancellation, Mohammad Asif Iqbal, Steven L. Grant
Novel Variable Step Size Nlms Algorithms For Echo Cancellation, Mohammad Asif Iqbal, Steven L. Grant
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper we present two new variable step size (VSS) methods for adaptive filters. These vs.S methods are so effective; they eliminate the need for a separate double-talk detection algorithm in echo cancellation applications. the key feature of both approaches is the introduction of a new near-end signal energy estimator (NE-SEE) that provides accurate and computationally efficient estimates even during double-talk and echo path change events. the first vs.S algorithm applies the NESEE to the recently proposed Nonparametric vs.S NLMS (NPVSS-NLMS) algorithm. the resulting algorithm has excellent convergence characteristics with an intrinsic immunity to double-talk. the second approach is …
Massively Parallel Full-Wave Modeling Of Advanced Packaging Structures On Bluegene Supercomputer, J. D. Morsey, Lijun Jiang, B. J. Rubin, A. Deutsch, C. W. Surovic, D. Becker, A. Haridass
Massively Parallel Full-Wave Modeling Of Advanced Packaging Structures On Bluegene Supercomputer, J. D. Morsey, Lijun Jiang, B. J. Rubin, A. Deutsch, C. W. Surovic, D. Becker, A. Haridass
Electrical and Computer Engineering Faculty Research & Creative Works
A parallel, distributed memory version of a full wave Method of Moments (MoM) solution combined with the Reduced Coupling approximation technique is presented on the largest parallel-server. Modeling results for product-level simulation of a single-chip module are correlated with time-domain measurements for validation of the technique. Scaling for this and other representative examples are shown for up to 16,384 compute nodes on IBM's BlueGene supercomputer, the largest parallel-platform ever reported for MoM based solutions. © 2008 IEEE.
Automated Near-Field Scanning To Identify Resonances, Giorgi Muchaidze, Huang Wei, Jin Min, Shao Peng, James L. Drewniak, David Pommerenke
Automated Near-Field Scanning To Identify Resonances, Giorgi Muchaidze, Huang Wei, Jin Min, Shao Peng, James L. Drewniak, David Pommerenke
Electrical and Computer Engineering Faculty Research & Creative Works
Near-field scanning systems are a tool for rootcause ESD, EMI, and immunity analysis of electronic systems, as well as qualification methodology for ICs and modules. For emissions, they have developed into a standardized method. Development of universally accepted file formats for data exchange is on-going. Four main types of scanning have been implemented by this and other authors: Near-field EMI scanning, ESD scanning, radiated immunity scanning, and resonance scanning. This article concentrates on resonance scanning as a newly added method for automated EMC system analysis.
Particle Swarm Optimization With Quantum Infusion For The Design Of Digital Filters, Bipul Luitel, Ganesh K. Venayagamoorthy
Particle Swarm Optimization With Quantum Infusion For The Design Of Digital Filters, Bipul Luitel, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, particle swarm optimization with quantum infusion (PSO-QI) has been applied for the design of digital filters. In PSO-QI, Global best (gbest) particle (in PSO star topology) obtained from particle swarm optimization is enhanced by doing a tournament with an offspring produced by quantum behaved PSO, and selecting the winner as the new gbest. Filters are designed based on the best approximation to the ideal response by minimizing the maximum ripples in passband and stopband of the filter response. PSO-QI, as is shown in the paper, converges to a better fitness. This new algorithm is implemented in the …
Enhanced Particle Swarm Optimizer For Power System Applications, Yamille Del Valle, M. Digman, A. Gray, J. Perkel, Ganesh K. Venayagamoorthy, Ronald G. Harley
Enhanced Particle Swarm Optimizer For Power System Applications, Yamille Del Valle, M. Digman, A. Gray, J. Perkel, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
Power system networks are complex systems that are highly nonlinear and non-stationary, and therefore, their performance is difficult to optimize using traditional optimization techniques. This paper presents an enhanced particle swarm optimizer for solving constrained optimization problems for power system applications, in particular, the optimal allocation of multiple STATCOM units. The study focuses on the capability of the algorithm to find feasible solutions in a highly restricted hyperspace. The performance of the enhanced particle swarm optimizer is compared with the classical particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and bacterial foraging algorithm (BFA). Results show that the enhanced PSO …
Hardware Implementations Of Swarming Intelligence -- A Survey, Cameron Eric Johnson, Parviz Palangpour, Ganesh K. Venayagamoorthy
Hardware Implementations Of Swarming Intelligence -- A Survey, Cameron Eric Johnson, Parviz Palangpour, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Swarming intelligence (SI) is the property of a system whereby the collective behaviors of (unsophisticated) agents interacting locally with their environment cause coherent global patterns to emerge. Because there are no central processing requirements, SI is ideal for parallelization, which lends it well to hardware implementations in many inexpensive processors. Several implementations in hardware that exploit this property for rapid calculation and inexpensive construction are highlighted in this paper to provide a good starting point for developing hardware platforms for SI algorithms.
Optimal Svm Switching For A Multilevel Multi-Phase Machine Using Modified Discrete Pso, Chris M. Hutson, Ganesh K. Venayagamoorthy, Keith Corzine
Optimal Svm Switching For A Multilevel Multi-Phase Machine Using Modified Discrete Pso, Chris M. Hutson, Ganesh K. Venayagamoorthy, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
This paper searches for the best possible switching sequence in a multilevel multi-phase inverter that gives the lowest amount of voltage harmonics. A modified discrete particle swarm (MDPSO) algorithm is used in an attempt to find the optimal space vector modulation switching sequence that results in the lowest voltage THD. As with typical PSO cognitive and social parameters are used to guide the search, but an additional mutation term is added to broaden the amount of area searched. The search space is the feasible solutions for the predetermined vectors at a given modulation index. Comparison of the MDPSO algorithm to …
Parametric Study Of Alternative Ev1 Powertrains, Adam Saplin, Andrew Meintz, Mehdi Ferdowsi
Parametric Study Of Alternative Ev1 Powertrains, Adam Saplin, Andrew Meintz, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
The General Motors (GM) EV1 is an electric vehicle originally powered by either a PbA or NiMh battery pack. This paper examines the possibility of alternative powertrain configurations. These alternatives include an ultracapacitor (UC) storage system, fuel cell system with UC storage, and a fuel cell system with a NiMh battery pack. The configurations were simulated using ADVISOR. Parametric tests were performed by varying the size of the energy storage systems. The study of these combinations is followed by an examination of the current art of the hybrid energy storage topologies used to combine battery and ultracapacitor storage. These topologies …
Power System Control With An Embedded Neural Network In Hybrid System Modeling, Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayagamoorthy
Power System Control With An Embedded Neural Network In Hybrid System Modeling, Seung-Mook Baek, Jung-Wook Park, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Output limits of the power system stabilizer (PSS) can improve the system damping performance immediately following a large disturbance. Due to nonsmooth nonlinearities arising from the saturation limits, these values cannot be determined by the conventional tuning methods based on linear analysis. Only ad hoc tuning procedures can been used. A feedforward neural network (with a structure of multilayer perceptron neural network) is applied to identify the dynamics of an objective function formed by the states and, thereafter, to compute the gradients required in the nonlinear parameter optimization. Moreover, its derivative information is used to replace that obtained from the …
Swarm Intelligence And Evolutionary Approaches For Reactive Power And Voltage Control, Ganesh K. Venayagamoorthy, G. Krost, G. A. Bakare, Lisa L. Grant
Swarm Intelligence And Evolutionary Approaches For Reactive Power And Voltage Control, Ganesh K. Venayagamoorthy, G. Krost, G. A. Bakare, Lisa L. Grant
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a comparison of swarm intelligence and evolutionary techniques based approaches for minimization of system losses and improvement of voltage profiles in a power network. Efficient distribution of reactive power in an electric network can be achieved by adjusting the excitation on generators, the on-load tap changer positions of transformers, and proper switching of discrete portions of inductors or capacitors. This is a mixed integer non-linear optimization problem where metaheuristics techniques have proven suitable for providing optimal solutions. Four algorithms explored in this paper include differential evolution (DE), particle swarm optimization (PSO), a hybrid combination of DE and …
Comparison Of De And Pso For Generator Maintenance Scheduling, Yusuf Yare, Ganesh K. Venayagamoorthy
Comparison Of De And Pso For Generator Maintenance Scheduling, Yusuf Yare, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a comparison of a differential evolution (DE) algorithm and a modified discrete particle swarm optimization (MDPSO) algorithm for generating optimal preventive maintenance schedules for economical and reliable operation of a power system, while satisfying system load demand and crew constraints. The DE, an evolutionary technique and an optimization algorithm utilizes the differential information to guide its further search, and can handle mixed integer discrete continuous optimization problems. Discrete particle swarm optimization (DPSO) is known to effectively solve large scale multi-objective optimization problems and has been widely applied in power systems. Both the DE and MDPSO are applied …
Efficient Prediction Of Rf Interference In A Shielding Enclosure With Pcbs Using A General Segmentation Method, Yaojiang Zhang, Xiaopeng Dong, Zhenwei Yu, Francesco De Paulis, Gang Feng, Jason A. Mix, Daniel Hua, Kevin P. Slattery, James L. Drewniak, Jun Fan
Efficient Prediction Of Rf Interference In A Shielding Enclosure With Pcbs Using A General Segmentation Method, Yaojiang Zhang, Xiaopeng Dong, Zhenwei Yu, Francesco De Paulis, Gang Feng, Jason A. Mix, Daniel Hua, Kevin P. Slattery, James L. Drewniak, Jun Fan
Electrical and Computer Engineering Faculty Research & Creative Works
Cavity model with segmentation method is extended to the analysis of radio frequency interference (RFI) problems in a shielding enclosure with printed circuit boards (PCBs) . Sixteen different Green's functions, instead of one in the conventional segmentation method developed for PCB cavities, are introduced to describe the fields in various cavities formed by enclosure walls and PCB copper planes. Both horizontal and vertical connections among these cavities are achieved by enforcing the boundary conditions along their common interfaces. Numerical examples demonstrate the efficiency and accuracy of the method by compared with full wave simulations.
Comparison Of Nimh And Li-Ion Batteries In Automotive Applications, Aditya Jayam Prabhakar, Mehdi Ferdowsi
Comparison Of Nimh And Li-Ion Batteries In Automotive Applications, Aditya Jayam Prabhakar, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
The pressing need to decrease the greenhouse gases and to improve the efficiency of the existing fleet of vehicles it is imperative that they use some cleaner energy to run the vehicle. Electrical energy can be used in addition with gasoline used by the internal combustion engine of a conventional vehicle to supplement the incremental demand of power above the average power required by the vehicle. This requires for an on-board energy storage system and batteries like NiMH and Li-ion have proven to be efficient storage devices. This paper provides a comprehensive comparison of these batteries used in hybrid electric …
Single-Phase Bidirectional Ac-Dc Converters For Plug-In Hybrid Electric Vehicle Applications, Lisheng Shi, Andrew Meintz, Mehdi Ferdowsi
Single-Phase Bidirectional Ac-Dc Converters For Plug-In Hybrid Electric Vehicle Applications, Lisheng Shi, Andrew Meintz, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
Plug-in hybrid electric vehicles (PHEVs) are specialized hybrid electric vehicles that have the potential to obtain enough energy for average daily commuting from batteries. These batteries would be charged from the power grid and would thus allow for a reduction in the overall petroleum consumption. To implement the plug-in function, a single phase bidirectional AC-DC converter interfacing with the grid is essential. The implementation of a bidirectional AC-DC converter can allow for battery recharge from the grid, battery energy injection to the AC grid, and battery energy for AC power stabilization. In this paper, the basic requirements and specifications for …
Human Swarm Interaction For Radiation Source Search And Localization, Shishir Bashyal, Ganesh K. Venayagamoorthy
Human Swarm Interaction For Radiation Source Search And Localization, Shishir Bashyal, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
This study shows that appropriate human interaction can benefit a swarm of robots to achieve goals more efficiently. A set of desirable features for human swarm interaction is identified based on the principles of swarm robotics. Human swarm interaction architecture is then proposed that has all of the desirable features. A swarm simulation environment is created that allows simulating a swarm behavior in an indoor environment. The swarm behavior and the results of user interaction are studied by considering radiation source search and localization application of the swarm. Particle swarm optimization algorithm is slightly modified to enable the swarm to …
Characterization Of Serial Links At 5.5gbps On Fr4 Backplanes, Vittorio Ricchiuti, Antonio Orlandi, James L. Drewniak, Francesco De Paulis
Characterization Of Serial Links At 5.5gbps On Fr4 Backplanes, Vittorio Ricchiuti, Antonio Orlandi, James L. Drewniak, Francesco De Paulis
Electrical and Computer Engineering Faculty Research & Creative Works
Nowdays the fast and increased demand for bandwidth in the telecommunication world translates into the design of complex boards exchanging data at high bit rate in reduced design cycle. Sometimes it is impossible to spent time in setting pre-layout simulations, because they are not compatible with the design time schedule. In this scenario it is better to design the boards using experience and then make simulations in conjunction with measurements, using customized numerical tools which don't need complex models.
An Improved Cascaded H-Bridge Multilevel Inverter Controlled By An Unbalanced Voltage Level Sigma-Delta Modulator, Jingsheng Liao, Mehdi Ferdowsi
An Improved Cascaded H-Bridge Multilevel Inverter Controlled By An Unbalanced Voltage Level Sigma-Delta Modulator, Jingsheng Liao, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
Multilevel inverters have been proven to be viable solutions for high-power automotive motor drive applications due to their high volt-ampere ratings. Cascaded H-bridge inverters are a promising breed of multilevel inverters which generally require several independent dc sources. Replacement of all but one of the dc sources with capacitors in cascaded H-bridge multilevel inverters, which leads to single-dc-source per-phase cascaded inverters, has recently gained popularity. However, very few efforts have been made to address the challenging problem of voltage regulation in the replacing capacitors. In this paper, applicability of a real-time voltage control technique named unbalanced voltage level sigma-delta modulation …
Analytical Evaluation Of Via-Plate Capacitance For Multilayer Printed Circuit Boards And Packages, Yaojiang Zhang, Jun Fan, Giuseppe Selli, Matteo Cocchini, Francesco De Paulis
Analytical Evaluation Of Via-Plate Capacitance For Multilayer Printed Circuit Boards And Packages, Yaojiang Zhang, Jun Fan, Giuseppe Selli, Matteo Cocchini, Francesco De Paulis
Electrical and Computer Engineering Faculty Research & Creative Works
The via-plate capacitance for a via transition to a multilayer printed circuit board is evaluated analytically in terms of higher order parallel-plate modes. The Green's function in a bounded coaxial cavity for a concentric magnetic ring current is first derived by introducing reflection coefficients for cylindrical waves at the inner and outer cavity walls. These walls can be perfect electric conductor (PEC)/perfect magnetic conductor(PMC) or a nonreflective perfectly matched layer. by further assuming a magnetic frill current on the via-hole in the metal plate, an analytical formula is derived for the via barrel-plate capacitance by summing the higher order modes …
Control Strategy Optimization For A Parallel Hybrid Electric Vehicle, Andrew Meintz, Mehdi Ferdowsi
Control Strategy Optimization For A Parallel Hybrid Electric Vehicle, Andrew Meintz, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
The efficiency improvement of parallel hybrid electric vehicles (HEVs) is strongly dependent on how the supervisory control of a vehicle determines the power split between the internal combustion engine (ICE) and the electric motor of the vehicle. This paper presents a classification of current supervisory control techniques with distinction between dynamic and static control methods; a description of the simulation software ADvanced Vehicle SimulatOR (ADVISOR) with Matlab Simulink for simulation of a rule-based control strategy, and proposed optimization methods.
Development And Validation Of A Microcontroller Model For Emc, Shaohua Li, Hemant Bishnoi, Jason Whiles, Pius Ng, Haixiao Weng, David Pommerenke, Daryl G. Beetner
Development And Validation Of A Microcontroller Model For Emc, Shaohua Li, Hemant Bishnoi, Jason Whiles, Pius Ng, Haixiao Weng, David Pommerenke, Daryl G. Beetner
Electrical and Computer Engineering Faculty Research & Creative Works
Models of integrated circuits (ICs) allow printed circuit board (PCB) developers to predict radiated and conducted emissions early in board development and allow IC manufactures insight into how to build their ICs better for electromagnetic compatibility (EMC). A model of the power delivery network, similar to the ICEM or LECCS model, was developed for a microcontroller running a typical program and used to predict the noise voltage between the power and return planes of a PCB. The IC and package model was generated using the Apache tool suite. A model of the PCB was created using an electromagnetic cavity model …
Economic Load Dispatch Using Bacterial Foraging Technique With Particle Swarm Optimization Biased Evolution, Ahmed Yousuf Saber, Ganesh K. Venayagamoorthy
Economic Load Dispatch Using Bacterial Foraging Technique With Particle Swarm Optimization Biased Evolution, Ahmed Yousuf Saber, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a novel modified bacterial foraging technique (BFT) to solve economic load dispatch (ELD) problems. BFT is already used for optimization problems, and performance of basic BFT for small problems with moderate dimension and searching space is satisfactory. Search space and complexity grow exponentially in scalable ELD problems, and the basic BFT is not suitable to solve the high dimensional ELD problems, as cells move randomly in basic BFT, and swarming is not sufficiently achieved by cell-to-cell attraction and repelling effects for ELD. However, chemotaxis, swimming, reproduction and elimination-dispersal steps of BFT are very promising. On the other …
Utilization And Effect Of Plug-In Hybrid Electric Vehicles In The United States Power Grid, Steven D. Jenkins, John R. Rossmaier, Mehdi Ferdowsi
Utilization And Effect Of Plug-In Hybrid Electric Vehicles In The United States Power Grid, Steven D. Jenkins, John R. Rossmaier, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
Plug-in hybrid electric vehicles (PHEVs) are uniquely capable of providing both transportation and battery storage interconnection to the electric power grid. This ability allows PHEVs the possibility of serving the power grid in the capacity of a mobile energy storage unit, providing the grid with additional stability, reliability, costeffectiveness, and efficiency. Additionally, with the higher fuel efficiency of PHEVs, the transportation and power generation sectors can collectively reduce their ecologically harmful emissions and increase their reliance on environmentally friendly energy sources. These concepts are still new and under development; in this paper, the viability of the PHEV as a mobile …
Frequency-Domain Blind Source Separation With Permutation Control, Peng Xie, Steven L. Grant
Frequency-Domain Blind Source Separation With Permutation Control, Peng Xie, Steven L. Grant
Electrical and Computer Engineering Faculty Research & Creative Works
This paper explores the problem of frequency-domain Blind Source Separation (BSS) of convolutive mixtures. The main difficulties of this approach lie in the so called permutation and amplitude problems. In order to solve the permutation ambiguity, a new hybrid approach is proposed, in which the Independent Component Analysis (ICA) processes across all frequency bins are concatenated and each of them is embedded with a permutation control unit. In each frequency bin, when the separation matrix is obtained by the ICA process, the control unit detects the possible permutation and aligns the matrix only if the permutation is confirmed. Then the …
Intelligent Tool For Determining The True Harmonic Current Contribution Of A Customer In A Power Distribution Network, Joy Mazumdar, Ronald G. Harley, Frank C. Lambert, Ganesh K. Venayagamoorthy, Marty L. Page
Intelligent Tool For Determining The True Harmonic Current Contribution Of A Customer In A Power Distribution Network, Joy Mazumdar, Ronald G. Harley, Frank C. Lambert, Ganesh K. Venayagamoorthy, Marty L. Page
Electrical and Computer Engineering Faculty Research & Creative Works
Customer loads connected to power distribution network may be broadly categorized as either linear or nonlinear. Nonlinear loads inject harmonics into the power network. Harmonics in a power system are classified as either load harmonics or as supply harmonics depending on their origin. The source impedance also impacts the harmonic current flowing in the network. Hence, any change in the source impedance is reflected in the harmonic spectrum of the current. This paper proposes a novel method based on artificial neural networks to isolate and evaluate the impact of the source impedance change without disrupting the operation of any load, …
Hev To Phev Conversion Compatibility, Steven D. Jenkins, Mehdi Ferdowsi
Hev To Phev Conversion Compatibility, Steven D. Jenkins, Mehdi Ferdowsi
Electrical and Computer Engineering Faculty Research & Creative Works
This paper includes some of the information gathered regarding the feasibility of converting a series-parallel configured electric vehicle to a plug-in hybrid electric vehicle versus using a series configured electric vehicle to a plug-in hybrid electric vehicle. It will explain the theory behind how a series configured hybrid electric vehicle (HEV) might be a better option due to the power rating of the electric motor. Using ADVISOR (Advanced Vehicle Simulator) it will explain test results and form conclusions regarding the efficiency of a series-parallel configured HEV vs. a series configured HEV as it relates to their feasibility of conversion to …
Implementation Of A Pso Based Online Design Of An Optimal Excitation Controller, Chuan Yan, Ganesh K. Venayagamoorthy, Keith Corzine
Implementation Of A Pso Based Online Design Of An Optimal Excitation Controller, Chuan Yan, Ganesh K. Venayagamoorthy, Keith Corzine
Electrical and Computer Engineering Faculty Research & Creative Works
The Navypsilas future electric ships will contain a number of pulsed power loads for high-energy applications such as radar, railguns, and advanced weapons. This pulse energy demand has to be provided by the ship energy sources, while not impacting the operation of the rest of the system. It is clear from studies carried out earlier that disturbances are created at the generator ac bus. This paper describes an online design and laboratory hardware implementation of an optimal excitation controller using particle swarm optimization (PSO) to minimize the effects of pulsed loads. The PSO algorithm has been implemented on a digital …
Implementation Of Neuroidentifiers Trained By Pso On A Plc Platform For A Multimachine Power System, Curtis Alan Parrott, Ganesh K. Venayagamoorthy
Implementation Of Neuroidentifiers Trained By Pso On A Plc Platform For A Multimachine Power System, Curtis Alan Parrott, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Power systems are nonlinear with fast changing dynamics. In order to design a nonlinear adaptive controller for damping power system oscillations, it becomes necessary to identify the dynamics of the system. This paper demonstrates the implementation of a neural network based system identifier, referred to as a neuroidentifier, on a programmable logic controller (PLC) platform. Two separate neuroidentifiers are trained using the particle swarm optimization (PSO) algorithm to identify the dynamics in a two-area four machine power system, one neuroidentifier for Area 1 and the other for Area 2. The power system is simulated in real time on the Real …