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Articles 331 - 360 of 566
Full-Text Articles in Engineering
A Neural Network Based Wide Area Monitor For A Power System, Xiaomeng Li, Ganesh K. Venayagamoorthy
A Neural Network Based Wide Area Monitor For A Power System, Xiaomeng Li, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
With the deregulation of power industry, many tie lines between control areas are driven to operate near their maximum capacity, especially those serving heavy load centers. Wide area controllers (WACs) using wide-area or global signals can provide remote auxiliary control signals to local controllers such as automatic voltage regulators, power system stabilizers, etc to damp out inter-area oscillations. The power system is highly nonlinear system with fast changing dynamics. In order to have an efficient WAC, an online system monitor/predictor is required to provide inter-area information to the WAC from time to time. This paper presents the design of an …
An Adaptive Mamdani Fuzzy Logic Based Controller For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
An Adaptive Mamdani Fuzzy Logic Based Controller For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
An adaptive Mamdani based fuzzy logic controller has been designed for controlling a static compensator (STATCOM) in a multimachine power system. Such a controller does not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. A model free approach using the controller output error is applied for training purposes that adaptively changes the controller output parameters based on a gradient descent method. Moreover, shrinking span membership functions are used for a more stable and accurate control performance. Simulation results show that the proposed controller outperforms the conventional …
Foundations Over Expansive Soil, A Saudi Arabia Case History, Syed Faiz Ahmad
Foundations Over Expansive Soil, A Saudi Arabia Case History, Syed Faiz Ahmad
International Conference on Case Histories in Geotechnical Engineering
Presence of highly plastic clays in Hofuf in Al-Hassa (an oasis in the eastern part of Saudi Arabia) indicated existence of potential expansive soil problems in these regions. Hofuf is notoriously known as the area with expansive clay problem and finds mention in text books on the subject also. The first ever “Stiffened Slab Waffle Foundation” in Saudi Arabia was poured on Sunday the 7th February1999 for the Barracks in Prince Abdullah Military City, in Hofuf. In this Paper, a Case History is being presented encompassing: the experiences of this project vis-à-vis geotechnical complexities of the Site, decision to adopt …
A Database For Case Histories And Numerical Modelling, P. Mestat, Y. Riou
A Database For Case Histories And Numerical Modelling, P. Mestat, Y. Riou
International Conference on Case Histories in Geotechnical Engineering
This paper deals with a bibliographic database dedicated to the comparison between numerical results and in situ measurements for geotechnical structures. This database, called MOMIS, has been developed by LCPC and ECN for several years. To date, it comprises a total of 416 case histories. The generation of MOMIS has relied on a technologic watch in the field of numerical modelling. The database can be used to highlight modelling principles (in order to provide a guide for good modelling practice to users) and deviations between results given by numerical models and values measured on actual geotechnical structures. It also reflects …
The Use Of Monitoring Data And Geologic Documentation As A Basis For Defining Rock Mass Behavior Types For Tunnelling, Edward A. Button, Wulf Schubert, Gunter Riedmueller
The Use Of Monitoring Data And Geologic Documentation As A Basis For Defining Rock Mass Behavior Types For Tunnelling, Edward A. Button, Wulf Schubert, Gunter Riedmueller
International Conference on Case Histories in Geotechnical Engineering
The use of geodetic surveying to measure the absolute 3-D tunnel displacements has provided new opportunities to evaluate the system behavior and interpret the rock mass behavior associated with tunneling. For a meaningful case history evaluation it is necessary to have consistent and quality documentation covering the excavation and support sequence, the geological conditions, as well as the displacement measurements. Combing this data allows the rock mass behavior type to be evaluated. In contrast to many available rock mass characterization or classification procedures, the procedure introduced by the Austrian Society for Geomechanics within the Guideline for the Design and Construction …
Past Proceedings: 1st International Conference On Case Histories In Geotechnical Engineering (1984), Multiple Authors
Past Proceedings: 1st International Conference On Case Histories In Geotechnical Engineering (1984), Multiple Authors
International Conference on Case Histories in Geotechnical Engineering
No abstract provided.
Past Proceedings: 3rd International Conference On Case Histories In Geotechnical Engineering (1993), Multiple Authors
Past Proceedings: 3rd International Conference On Case Histories In Geotechnical Engineering (1993), Multiple Authors
International Conference on Case Histories in Geotechnical Engineering
No abstract provided.
Local Geology Of New York City And Its Effect On Seismic Ground Motions, Sissy Nikolaou
Local Geology Of New York City And Its Effect On Seismic Ground Motions, Sissy Nikolaou
International Conference on Case Histories in Geotechnical Engineering
A thorough understanding of the local geologic and tectonic environment, the seismological history as well as very detailed site specific geotechnical and geophysical data are essential to the proper prediction of local site effects and seismic design in New York City (NYC). The site response in the NYC metropolitan area is affected by the widely varying geologic conditions encountered in the five boroughs. Along the spine of Manhattan Island rock extends well above sea level at the northern reaches, and falls to depths in excess of 250 m at the barrier islands at the southern extremities of NYC. Large areas …
Meet Our Authors And Speakers, Multiple Authors
Meet Our Authors And Speakers, Multiple Authors
International Conference on Case Histories in Geotechnical Engineering
No abstract provided.
Preliminary Observations Of Geotechnical Failures During The 21 May 2003 M 6.8 Boumerdes, Earthquake, Algeria, Said Salah-Mars, Clark Fenton, Fouad Bendimerad, Abdeldjelil Belarbi, Yumei Wang
Preliminary Observations Of Geotechnical Failures During The 21 May 2003 M 6.8 Boumerdes, Earthquake, Algeria, Said Salah-Mars, Clark Fenton, Fouad Bendimerad, Abdeldjelil Belarbi, Yumei Wang
International Conference on Case Histories in Geotechnical Engineering
At 18:44 UTC (19:44 local time) on May 21, 2003, a strong, shallow earthquake of Moment Magnitude (M) 6.8 shook northern Algeria and caused damage in five provinces in the north-central section of the country. Damage was reported over an area about 100 km long and 35 km wide, centered on the city of Boumerdes. The hardest hit areas were in the coastal province of Boumerdes, mainly in the cities of Boumerdes, Zemmouri and Thenia. The earthquake appears to have been generated by an offshore south-dipping thrust fault oriented N54°E extending for about 35 km from Dellys to Corso. The …
Suction Anchors For Deepwater Moorings At Nkossa And Girassol In 200 And 1,400m Of Water, Jean-Louis Colliat, Hedi Dendani
Suction Anchors For Deepwater Moorings At Nkossa And Girassol In 200 And 1,400m Of Water, Jean-Louis Colliat, Hedi Dendani
International Conference on Case Histories in Geotechnical Engineering
A new type of anchor, composed of steel caissons installed into the soil by suction under-pressure, presently finds a strong interest in the offshore oil industry, in particular for deepwater sites because of its vertical loading capability in taut-leg moorings, and the reduced installation equipment required. Two case histories are presented in the paper, describing the installation of the moorings for the Nkossa barge in Congo in 1995 and for the Girassol FPSO in Angola in 2001. In both cases, the paper gives the general soil conditions and design assumptions, together with the results of the installation operations, with a …
Effect Of Earthquakes In Marshy Lands And Alluvial Soils: Case Histories, Saripalli Suryanarayana
Effect Of Earthquakes In Marshy Lands And Alluvial Soils: Case Histories, Saripalli Suryanarayana
International Conference on Case Histories in Geotechnical Engineering
This paper presents a case study of the various factors effecting foundations and piling in marsy lands and alluvial soils. Various aspects regarding these types of soils are presented in context of the Indian sub-continent. Various case studies are shown and practical inferences are drawn from them on the correct methodology of piling and foundation work to be performed in marshy and alluvial soils. Also examples from recent earthquakes in Gujarat, India are analyzed. . Precautionary measures such as light structures, with no cantilever, and no highrise buildings are a preliminary step. Further the overstressing of ground need to be …
Past Proceedings: 2nd International Conference On Case Histories In Geotechnical Engineering (1988), Multiple Authors
Past Proceedings: 2nd International Conference On Case Histories In Geotechnical Engineering (1988), Multiple Authors
International Conference on Case Histories in Geotechnical Engineering
No abstract provided.
Modified Takagi-Sugeno Fuzzy Logic Based Controllers For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Modified Takagi-Sugeno Fuzzy Logic Based Controllers For A Static Compensator In A Multimachine Power System, Salman Mohagheghi, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
Takagi-Sugeno (TS) based fuzzy logic controllers have been designed for controlling a STATCOM in a multimachine power system. Such controllers do not need any prior knowledge of the plant to be controlled and can efficiently control a STATCOM during different disturbances in the network. Two different approaches for the TS fuzzy logic controller are proposed: a conventional TS fuzzy logic design and a modified TS fuzzy logic design based on shrinking span membership functions. Simulation results, along with a comparison of the conventional TS fuzzy logic controller performance with that of the proposed controller are presented.
Indirect Adaptive Control For Synchronous Generator: Comparison Of Mlp/Rbf Neural Networks Approach With Lyapunov Stability Analysis, Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy
Indirect Adaptive Control For Synchronous Generator: Comparison Of Mlp/Rbf Neural Networks Approach With Lyapunov Stability Analysis, Jung-Wook Park, Ronald G. Harley, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
This paper compares two indirect adaptive neurocontrollers, namely a multilayer perceptron neurocontroller (MLPNC) and a radial basis function neurocontroller (RBFNC) to control a synchronous generator. The different damping and transient performances of two neurocontrollers are compared with those of conventional linear controllers, and analyzed based on the Lyapunov direct method.
Neural Network Based Classification Of Road Pavement Structures, V. Venayagamoorthy, D. Allopi, Ganesh K. Venayagamoorthy
Neural Network Based Classification Of Road Pavement Structures, V. Venayagamoorthy, D. Allopi, Ganesh K. Venayagamoorthy
Electrical and Computer Engineering Faculty Research & Creative Works
Roads have formed the basic infrastructure of commerce since flints and other tools and artifacts were first exchanged along the trade routes of prehistory. Roadways are very large, in volume, in extent, and in value. They also wear out, and their useful life is directly proportional to their initial strength and inversely proportional to the number of heavy goods vehicles using them. Therefore, the increasing complexity of road transportation needs advanced techniques for effective design of pavements. This paper proposes an intelligent technique using neural networks to classify different types of road pavement structures, which is essential in estimating bearing …
Online Identification Of Turbogenerator's Dynamics Using A Neuro-Identifier, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch
Online Identification Of Turbogenerator's Dynamics Using A Neuro-Identifier, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
The increasing complexity of modern power systems highlights the need for effective system identification techniques for the successful control of power system. This paper proposes a robust continually online trained neuroidentifier to predict the outputs of turbogenerator - terminal voltage and speed deviation. The inputs to the neuro-identifier are the changes of the plant's outputs and plant's inputs. It overcomes the drawback of calculating deviation signals from reference signals for different operating points in previous work. Simulation results show that the neuro-identifier can provide accurate identification under different operating conditions. Furthermore, the neuro-identifier can learn the dynamics of the system …
Real-Time Dual Heuristic Programming-Based Neurocontroller For A Turbogenerator In A Multimachine Power System, Ganesh K. Venayagamoorthy, Ronald G. Harley, Donald C. Wunsch
Real-Time Dual Heuristic Programming-Based Neurocontroller For A Turbogenerator In A Multimachine Power System, Ganesh K. Venayagamoorthy, Ronald G. Harley, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
Based on Dual Heuristic Programming (DHP), a real-time implementation of a neurocontroller for excitation and turbine control of a turbogenerator in a multimachine power system is presented. The feedback variables are completely based on local measurements. Simulation and real-time hardware implementation on a three-machine system demonstrate that the DHP neurocontroller is much more effective than conventional PID controllers, the automatic voltage regulator, power system stabilizer and the governor, for improving dynamic performance and stability under small and large disturbances.
Dual Heuristic Programming Excitation Neurocontrol For Generators In A Multimachine Power System, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Ronald G. Harley
Dual Heuristic Programming Excitation Neurocontrol For Generators In A Multimachine Power System, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
The design of nonlinear optimal neurocontrollers that replace the conventional automatic voltage regulators for excitation control of turbogenerators in a multimachine power system is presented in this paper. The neurocontroller design is based on dual heuristic programming (DHP), a powerful adaptive critic technique. The feedback variables are completely based on local measurements from the generators. Simulations on a three-machine power system demonstrate that DHP-based neurocontrol is much more effective than the conventional proportional-integral-derivative control for improving dynamic performance and stability of the power grid under small and large disturbances. This paper also shows how to design optimal multiple neurocontrollers for …
Implementation Of Adaptive Critic-Based Neurocontrollers For Turbogenerators In A Multimachine Power System, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Ronald G. Harley
Implementation Of Adaptive Critic-Based Neurocontrollers For Turbogenerators In A Multimachine Power System, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents the design and practical hardware implementation of optimal neurocontrollers that replace the conventional automatic voltage regulator (AVR) and the turbine governor of turbogenerators on multimachine power systems. The neurocontroller design uses a powerful technique of the adaptive critic design (ACD) family called dual heuristic programming (DHP). The DHP neurocontroller's training and testing are implemented on the Innovative Integration M67 card consisting of the TMS320C6701 processor. The measured results show that the DHP neurocontrollers are robust and their performance does not degrade unlike the conventional controllers even when a power system stabilizer (PSS) is included, for changes in …
Mechanical Property Characterization Of Mouse Zona Pellucida, Yu Sun, Kai-Tak Wan, K. P. Roberts, J. C. Bischof, B. J. Nelson
Mechanical Property Characterization Of Mouse Zona Pellucida, Yu Sun, Kai-Tak Wan, K. P. Roberts, J. C. Bischof, B. J. Nelson
Mechanical and Aerospace Engineering Faculty Research & Creative Works
Previous intracytoplasmic sperm injection (ICSI) studies have indicated significant variation in ICSI success rates among different species. In mouse ICSI, the zona pellucida (ZP) undergoes a "hardening" process at fertilization in order to prevent subsequent sperm from penetrating. There have been few studies investigating changes in the mechanical properties of mouse ZP post fertilization. To characterize mouse ZP mechanical properties and quantitate the mechanical property differences of the ZP before and after fertilization, a microelectromechanical systems-based multiaxis cellular force sensor has been developed. A microrobotic cell manipulation system employing the multiaxis cellular force sensor is used to conduct mouse ZP …
Adaptive-Critic-Based Optimal Neurocontrol For Synchronous Generators In A Power System Using Mlp/Rbf Neural Networks, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Adaptive-Critic-Based Optimal Neurocontrol For Synchronous Generators In A Power System Using Mlp/Rbf Neural Networks, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents a novel optimal neurocontroller that replaces the conventional controller (CONVC), which consists of the automatic voltage regulator and turbine governor, to control a synchronous generator in a power system using a multilayer perceptron neural network (MLPN) and a radial basis function neural network (RBFN). The heuristic dynamic programming (HDP) based on the adaptive critic design technique is used for the design of the neurocontroller. The performance of the MLPN-based HDP neurocontroller (MHDPC) is compared with the RBFN-based HDP neurocontroller (RHDPC) for small as well as large disturbances to a power system, and they are in turn compared …
An Industrial Food Processing Plant Automation Using A Hybrid Of Pi And Fuzzy Logic Control, Ganesh K. Venayagamoorthy, D. Naidoo, P. Govender
An Industrial Food Processing Plant Automation Using A Hybrid Of Pi And Fuzzy Logic Control, Ganesh K. Venayagamoorthy, D. Naidoo, P. Govender
Electrical and Computer Engineering Faculty Research & Creative Works
An industrial food processing plant consisting of nonlinear dynamics requires pressure and temperature controllers to be nonlinear. In this paper, nonlinear controllers are designed using fuzzy logic to augment the conventional pressure and temperature PI controllers for an industrial food processing plant. Simulation results are presented to show improvement in the plant response with the hybrid controllers.
Adaptive Neural Network Based Power System Stabilizer Design, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch
Adaptive Neural Network Based Power System Stabilizer Design, Wenxin Liu, Ganesh K. Venayagamoorthy, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
Power system stabilizers (PSS) are used to generate supplementary control signals for the excitation system in order to damp the low frequency power system oscillations. To overcome the drawbacks of conventional PSS (CPSS), numerous techniques have been proposed in the literature. Based on the analysis of existing techniques, this paper presents an indirect adaptive neural network based power system stabilizer (IDNC) design. The proposed IDNC consists of a neuro-controller, which is used to generate a supplementary control signal to the excitation system, and a neuro-identifier, which is used to model the dynamics of the power system and to adapt the …
Adaptive Neural Network Identifiers For Effective Control Of Turbogenerators In A Multimachine Power System, Ganesh K. Venayagamoorthy, Ronald G. Harley, Donald C. Wunsch
Adaptive Neural Network Identifiers For Effective Control Of Turbogenerators In A Multimachine Power System, Ganesh K. Venayagamoorthy, Ronald G. Harley, Donald C. Wunsch
Electrical and Computer Engineering Faculty Research & Creative Works
This paper provides a novel method for nonlinear identification of multiple turbogenerators in a five-machine 12-bus power system using continually online trained (COT) artificial neural networks (ANNs). Each turbogenerator in the power system is equipped with all adaptive ANN identifier, which is able to identify/model its particular turbogenerator and rest of the network to which it is connected from moment to moment, based on only local measurements. Each adaptive ANN turbogenerator can be used in the design of a nonlinear controller for each turbogenerator in a multimachine power system. Simulation results for the adaptive ANN identifiers are presented
Two Separate Continually Online-Trained Neurocontrollers For Excitation And Turbine Control Of A Turbogenerator, Ganesh K. Venayagamoorthy, Ronald G. Harley
Two Separate Continually Online-Trained Neurocontrollers For Excitation And Turbine Control Of A Turbogenerator, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents the design of two separate continually online trained (COT) neurocontrollers for excitation and turbine control of a turbogenerator connected to the infinite bus through a transmission line. These neurocontrollers augment/replace the conventional automatic voltage regulator and the turbine governor of a generator. A third COT artificial neural network is used to identify the complex nonlinear dynamics of the power system. Results are presented to show that the two COT neurocontrollers can control turbogenerators under steady-state as well as transient conditions and, thus, allow turbogenerators to operate more closely to their steady-state stability limits
Comparison Of Mlp And Rbf Neural Networks Using Deviation Signals For On-Line Identification Of A Synchronous Generator, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Comparison Of Mlp And Rbf Neural Networks Using Deviation Signals For On-Line Identification Of A Synchronous Generator, Jung-Wook Park, Ganesh K. Venayagamoorthy, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
This paper compares the performances of a multilayer perceptron network (MLPN) and a radial basis function network (RBFN) for the online identification of the nonlinear dynamics of a synchronous generator. Deviations of signals from their steady state values are used. The computational complexity required to process the data for online training, generalization and online global minimum testing are investigated by time-domain simulations. The simulation results show that, compared to the MLPN, the RBFN is simpler to implement, needs less computational memory, converges faster and global minimum convergence is achieved even when operating conditions change.
Comparison Of Heuristic Dynamic Programming And Dual Heuristic Programming Adaptive Critics For Neurocontrol Of A Turbogenerator, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Ronald G. Harley
Comparison Of Heuristic Dynamic Programming And Dual Heuristic Programming Adaptive Critics For Neurocontrol Of A Turbogenerator, Ganesh K. Venayagamoorthy, Donald C. Wunsch, Ronald G. Harley
Electrical and Computer Engineering Faculty Research & Creative Works
This paper presents the design of an optimal neurocontroller that replaces the conventional automatic voltage regulator (AVR) and the turbine governor for a turbogenerator connected to the power grid. The neurocontroller design uses a novel technique based on the adaptive critic designs (ACDs), specifically on heuristic dynamic programming (HDP) and dual heuristic programming (DHP). Results show that both neurocontrollers are robust, but that DHP outperforms HDP or conventional controllers, especially when the system conditions and configuration change. This paper also shows how to design optimal neurocontrollers for nonlinear systems, such as turbogenerators, without having to do continually online training of …
Seismic Microzonation Of Central Khartoum, Sudan, Yahia E.-A. Mohamedzein, Jamal A. Abdalla, Ahmed M. Elsharief, Abu Bakr Abdelwahab, Elfatih O. Ahmed
Seismic Microzonation Of Central Khartoum, Sudan, Yahia E.-A. Mohamedzein, Jamal A. Abdalla, Ahmed M. Elsharief, Abu Bakr Abdelwahab, Elfatih O. Ahmed
International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics
A preliminary seismic microzonation of Central Khartoum, Sudan is proposed. Khartoum, the capital of Sudan, is located at the confluence of White and Blue Niles. The city is heavily populated. The Central Khartoum with its high rise buildings is the center of governmental and business activities and is located on strip adjacent to the Blue Nile. Geological and geotechnical data indicated that the subsoil conditions at Central Khartoum are characterized by alluvial deposits underlain by Nubian Sandstone below a depth of 20 m. The alluvial deposits locally known as Gezira formations, consist of clays grading into silt and sand with …
Estimation Of Ground-Borne Vibrations From Moving Trucks, Raj V. Siddharthan, Mohey El-Mously
Estimation Of Ground-Borne Vibrations From Moving Trucks, Raj V. Siddharthan, Mohey El-Mously
International Conferences on Recent Advances in Geotechnical Earthquake Engineering and Soil Dynamics
The paper focuses on providing details on the application of a continuum-based finite-layer model to estimate ground-borne vibrations induced by moving trucks. The computational model incorporates important pavement response factors such as the noncircular contact area, complex 3-D contact stress distributions (normal and shear), vehicle speed, and viscoelastic material characterization. The proposed method is much more computationally efficient than the moving-load models based on the finite element method. Predictive capability of the approach relative to vehicle-induced vibrations has been demonstrated using realistic pavement loading. As an important design application, particle velocity responses from conventional dual and its recent substitute, viz. …