The paper considers the problem of stabilizing large scale dynamic systems (LSS) via decentralized controllers based on Variable Structure systems (VSS) and using the principle of dominant subsystems. The principle an...
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The paper considers the problem of stabilizing large scale dynamic systems (LSS) via decentralized controllers based on Variable Structure systems (VSS) and using the principle of dominant subsystems. The principle and applications for LSS are described and simulation test results on a two- machines power system with nonlinear model are presented.
作者:
Djukanovic, M.B.Sobajic, D.J.Pao, Y.‐H.Miodrag B. Djukanovic (1959) received his B.S.
M.Sc. and Ph.D. degrees in Electrical Engineering from the University of Belgrade/Yugoslavia in 1982 1985 and 1992 respectively specializing in electric power systems. In 1984 he joined the Electrical Engineering Institute “Nikola Tesla” in Belgrade where he was working on the scientific studies in the field of power systems planning operation and control. In 1985 and 1990 he was appointed as a research scholar at the Royal Institute of Technology Stockholm and Case Western Reserve University Cleveland Ohio. His major in- terests are in the area of power system analysis steady-state and dynamic security and application of neural networks in electric power systems. (Electrical Engineering Institute “Nicola Tesla” ul. Koste Glavinica 8A YU-11000 Belgrad T +3811/2351-619 Fax + 3811/2351-823) Dejan J. Sobajic (1949) received the B.S.E.E. and the M.S.E.E. degrees from the University of Belgrade/Yugoslavia in 1972 and 1976
respectively and the Ph.D. degree from Case Western Reserve University Cleveland Ohio in 1988. At present he is with the Department of Electrical Engineering and Applied Physics Case Western Reserve University Cleveland. He is also the Engineering Manager of A1 WARE Inc. Cleveland. His current research interests include power system operation and control neuralnet systems and adaptive control. He is a member of the IEEE Task Force on Neural-Network Applications in Power Systems and of the IEEE Intelligent Controls Committee. He is the Chairman of the International Neural-Networks Society Special Interest Group on Power Engineering. (Case Western Reserve University Department of Electrial Engineering and Computer Sciences Glennan Building Ohio 44 106 USA T + 1216/421-2380 Fax +1216/368-8776) Yoh-Han Pao (1922) has been a Professor of Electrical Engineering and Computer Science at Case Westem Reserve University (CWRU)
Cleveland Ohio since 1967. He has served as chairman of the University's Electrical Engineering Department
The Transient Energy Function (TEF) method has been intensely investigated over the last decade as a reliable and accurate tool for transient stability assessment of multimachine power systems. In this paper we propos...
作者:
Linke, K.Rumpel, D.Dip1.-Ing. Klaus Linke (1939)
VDEis the director of the department "load dispatching and network operation" of Vereinigte Elektrizitatswerke Westfalen AG (VEW). DortmundGermany. After the study of electrical engineering at the Technical University of KarlsruhdGermany he started his professional career in an engineering-concern where he was responsible among others for investigations concerning the installation of process-computers in chemical plants. In 1968 he changed to VEW. Here in 1984 he took over his present position in which he is mainly engaged with the tasks of the management of the HV and EHV network and the power system control together with the problems concerning network automation incident to it. (Vereinigte Elektrizitatswerke Westfalen AG Hauptverwaltung Rheinlanddamm 24 W-4600 Dortmund 1 T +49 23 114 38-42 41) Dr.-Ing. Dieter Rumpel (1932)
VDE is full professor and since 1978 head of the Power Systems Institute of Duisburg University Germany. He got his DiplAng. degree from the Technical University Munich and his Dr.-Ing. degree from the Technical University Berlin. Before his call to Duisburg he worked at Siemens AG for 23 years. (Universiiit-GHDuisburg Fachbereich Elektrotechnik PF 10 15 03 W-4100 Duisburg T 4 9 20 313 79-34 37)
For computerized power system operation, all objects of the network must be mapped in a data‐model. For this task, the „Grid Data Language” (GDL) does not apply format‐bound source data, but describes the objects u...
作者:
R. BarsR. HaberDepartment of Automation
Technical University of Budapest Goldmann Gy. tér 3 Budapest Hungary Fachhochschule Köln
Faculty of Plant and Process Engineering Köln FRG and Ruhr-University Faculty of Mechanical Engineering Department of Control Systems Bochum FRG
The unknown nonlinear process is approximated by the Hammerstein model, which is one of the natural expansions of the discrete convolution model to nonlinear systems· Because of the large number of the parameters...
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The unknown nonlinear process is approximated by the Hammerstein model, which is one of the natural expansions of the discrete convolution model to nonlinear systems· Because of the large number of the parameters an identification procedure with scalar convergence coefficients is recommended. The control task is to follow a reference model output predicted ahead in a given horizon· The present and future control activities during the prediction horizon are determined minimizing a functional of the error signal between the predicted values of the reference model and the system output. The control signal is assumed constant during the control horizon and the calculation is repeated in each control interval. Simulation results represent the robust behaviour of the control algorithms.
作者:
DUNIETZ, ISHSU, JLCMCEACHERN, MTSTOCKING, JHSWARTZ, MATROMBLY, RMThe authors
Irwin S. Dunietz John L.C. Hsu Michael T. McEachern James H. Stocking Mark A. Swartz andRodney M. Tromblyare responsible for design and development of the Manufacturing Process Control System. Mr. Dunietz joined AT&T in 1980. He is a member of the technical staff in the Manufacturing Information Automation department at AT&T Engineering Research Center Princeton New Jersey. He received an A.B. in mathematics from Cornell University and an M.S.E. in computer science from Princeton University. Mr. Hsu who joined AT&T in 1970 is a department head in the Manufacturing Information Automation department at the Engineering Research Center. He received an M.S. in electrical engineering from the University of Missouri. Mr. McEachern joined AT&T in 1962 and is a supervisor in the 5ESS™ Line Unit Manufacturing department at AT&T Technologies in Oklahoma City Oklahoma. He is responsible for the manufacturing process control center in Oklahoma City which provides computerized support for all circuit pack manufacturing. Mr. Stocking who joined AT&T in 1975 is a supervisor in the Manufacturing Information Automation department at the Engineering Research Center. He received a B.S. in chemical engineering from Rensselaer Polytechnic Institute and a Ph.D. in chemical engineering from the University of California Berkeley. Mr. Swartz joined AT&T in 1980 and is a member of the technical staff in the Manufacturing Information Automation department at the Engineering Research Center. He received an A.B. in computer science from Cornell University and an M.S. in computer science from Rutgers—The State University. Mr. Trombly who joined AT&T in 19 78 is an assistant manager at the AT&T Merrimack Valley Works in Massachusetts. Previously he was a supervisor at the Engineering Research Center. He holds a B.S. in computers and systems engineering and an M.S.E.E. from Rensselaer Polytechnic Institute.
The central challenge of all manufacturing is making products to the right standards and delivering them at the right time. AT&T is upgrading its corporate and factory resource planning systems to improve control ...
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The central challenge of all manufacturing is making products to the right standards and delivering them at the right time. AT&T is upgrading its corporate and factory resource planning systems to improve control of day-to-day manufacturing. The Manufacturing Process control System (MPCS), developed at the AT&T Engineering Research Center (ERC), provides this support. MPCS connects the shop floor with production scheduling, accounting, product data archive, and engineering support systems.
作者:
Richardson, James C.Berman, Paul I.Capt. James C. Richardson
Jr. a surface warfare officer was graduated from the U.S. Naval Academy U.S. Naval Postgraduate School and the American University. With proven subspecialities in Material Management and Computer Systems Technology he has served as Commanding Officer USS Hepburn (FF-IOSS) Program Manager of the Mk 86 Gun Fire Control System at the Naval Sea Systems Command and is currently Commanding Officer of the Navy Regional Data Automation Center Washington D. C. Paul Berman is manager of Product Support Engineering for Lockheed Electronics Company
Plain field New Jersey. His department is responsible for logistics planning and analysk supply support field engineering training and technical documentation in support of the division as products. His 30 years of experience in product support include preparation of logistics plans engineering data technical publications and training materials. He is also an adjunct instructor at Rutgers University. Mr. Berman received a BA from Queens College in 1951 and an MA from Hunter College in 1957. He attended the U.S. Army Signal Corps radar school and was a field radio and radar repairman during the Korean War. He is currently a member of the Society of Logistics Engineers and the National Management Association.
作者:
LUEDEKE, GFARNHAM, RBJR.George Luedeke
Jr.: received his BS degree in Mechanical Engineering from Massachusetts Institute of Technology and his MS degree in Product Design from Illinois Institute of Technology. Early in his career Mr. Luedeke joined General Motors Corporation as a designer responsible for development of people mover and rail rapid transit systems. From 1964 to 1974 he was with Hughes Aircraft Company. At Hughes he performed analyses and developed designs for a wide variety of program and proposal efforts such as: High Speed Ground Transportation (DOT) Task Force Command Center (NAVY) Panama Canal Marine Traffic Control Center (Panama Canal Co.) Royal Iranian Navy Command Center (Iran) Tactical Information Processing and Interpretation Center (Air Force) and WALLEYE CONDOR and PHOENIX Missile Systems (NAVY). He also had marketing development responsibilities related to the diversification of Hughes resources in civil business areas such as: Automatic train control (WMATA BARTD SCRTD) water/sewage treatment plant automation (Santa Clara County) Aqueduct Control (SWR) Hydrometeorological data collection (BPA WMO) and Salton Sea basin systems analysis (Dept. of the Interior). He was responsible for combat system integration for the Hughes 2000T Surface Effect Ship (SES) proposal. He also conducted detailed studies concerning ship flexure for the Improved Point Defense Target Acquisition System Program and for the definition of operational High Energy Laser weapon installations on a series of conventional monohulls (DLG DD and CVN). Since 1974 Mr. Luedeke has been employed at RMI Inc. (formerly Rohr Marine Inc.). During this time he has held several positions. His responsibilities have included directing a number of studies on advanced SES concepts managing activities defining mission/cost effectiveness of military and commercial SES's including defining the operational benefits and enhanced survivability characteristics of cargo SES's for high speed military sealiftfor NA TO and Southeast Asia
This paper will present the results of a marketing, engineering, and economic analysis of advanced marine vehicles done by IMA Resources, Inc. and RMI, Inc., in support of a Maritime Administration project to study “...
This paper will present the results of a marketing, engineering, and economic analysis of advanced marine vehicles done by IMA Resources, Inc. and RMI, Inc., in support of a Maritime Administration project to study “Multimode Express Shipping”. The study was conducted in 1981 and examined the economic benefits of using advanced marine vehicles as express cargo vessels in domestic and international service. Commodity characteristics, desirable express carrier rates, and potential high payoff service and route alternatives were identified. Advanced marine vehicles were surveyed and sized to meet desirable deadweight and block speed objectives. The costs of operating these craft on a variety of trade routes were calculated using an advanced marine vehicle economic analysis program. Revenues, expenses, break-even, profit and loss, cash flow requirements, tax summary and economic indicators (i.e., cost/ton – mile, etc.) were projected over the expected life of the vehicles as was return on investment. Traffic density and market penetration considerations narrowed the field of choice to smaller sized advanced marine vehicle carriers (i.e., 50 and 250 ton deadweight) and to three international and five domestic routes.
One of the most serious problems encountered in Naval steam plants following World War II was the unreliable performance of boiler and main feedpump pneumatic controlsystems. In addition to control component and syst...
One of the most serious problems encountered in Naval steam plants following World War II was the unreliable performance of boiler and main feedpump pneumatic controlsystems. In addition to control component and system design deficiencies, these controlsystems suffered from inadequate methods to measure and adjust system alignment. This paper describes the development of a set of procedures for on-line alignment verification (OLV) of pneumatic main boiler and feedpump controlsystems. The procedures are designed for use by N avy control system technicians and, in addition to on-line alignment verification, provide guidance for troubleshooting and for performing system alignment. Procedure static checks measure steady state steaming performance and OLV procedure dynamic checks measure the ability of the boiler and controlsystems to respond to load changes. The paper describes typical control system characteristics that influence OLV procedure content and the supporting analysis that was used to establish alignment criteria ranges that satisfy both steady state and transient performance requirements. Also described is the alignment criteria tolerance analysis along with the steps involved in a typical OLV check procedure development. Descriptions of the various OLV checks, troubleshooting procedures and alignment procedures are provided. Typical shipboard implementation requirements are described and experience to date with the procedures is provided along with a status report on OLV procedure implementations.
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