This work presents results of research related to an emergency control for distribution systems. The problem is formulated within the framework of a fuzzy transportation network problem. An effective fuzzy integer pro...
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This work presents results of research related to an emergency control for distribution systems. The problem is formulated within the framework of a fuzzy transportation network problem. An effective fuzzy integer programming model is proposed with solution based on satisfaction of operational levels. The proposed methodology has been applied to a realistic power distribution system based on a primary distribution network. The results demonstrate that the approach provides not only the convincing satisfaction of the actual requirements of the power distribution system, but also offers more information to the decision maker to improve decision making quality.
The problems of power and energy shortage (natural or associated with the advisability of load management) allocation at different levels of territorial, temporal, and situational hierarchy of consumption control are ...
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The problems of power and energy shortage (natural or associated with the advisability of load management) allocation at different levels of territorial, temporal, and situational hierarchy of consumption control are formulated within the framework of multicriteria optimization models. This permits one to realize a new technology of load management providing consideration and minimization of diverse negative consequences of power and energy shortage allocation and creation of incentive influences for consumers. The solution of multicriteria problems is based on the Bellman-Zadeh approach to decision making in a fuzzy environment. The advantages and capabilities opened by its application are discussed. The results of the paper are realized within the framework of an adaptive interactive decision making system, which can be used in allocating diverse types of resources or their shortages.
This paper presents results of research aimed at improving efficiency of coordinated on-line control of reactive power on the basis of developing models, methods, and a control system, integrating traditional numerica...
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This paper presents results of research aimed at improving efficiency of coordinated on-line control of reactive power on the basis of developing models, methods, and a control system, integrating traditional numerical techniques with fuzzy logic technology. An approach associated with experimental design is considered to construct diverse types of sensitivity indices, which serve as the basis for multi-attribute evaluating efficiency of control actions and, therefore, for forming rules included in a knowledge base. Procedures related to classifying power system states are presented. Questions of the construction and tuning of linguistic variables as well as rational implementation of fuzzy logic procedures are discussed.
This paper presents results of research aimed at improving the efficiency of the coordinated online control of system voltage and reactive power on the basis of developing models, methods, and a control system, by int...
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This paper presents results of research aimed at improving the efficiency of the coordinated online control of system voltage and reactive power on the basis of developing models, methods, and a control system, by integrating traditional numerical techniques with the fuzzy logic technology. An approach associated with experimental design is considered to construct diverse types of sensitivity indices, which serve as the basis for multi-attribute evaluating efficiency of control actions and, therefore, for forming rules included in knowledge base. Questions of the construction and tuning of linguistic variables as well as rational implementation of fuzzy logic procedures are discussed.
作者：
Wu, BCYoung, GSSchmidt, WChoppella, KDr. Bi-Chu Wu:received a PhD in Mechanical Engineering from the University of Maryland
College Park in 1991. She has worked on projects involving naval architecture design optimization solid mechanics and database development. Presently a senwr engineer with Angle Incorporated Dr Wu's research interests are in design optimization and fuzzy logic applications. Dr. Gin-Shu Young:
a senior engineer with Angle Incorporated holds a PhD in Mechanical Engineering from the University of Maryland College Park. As a guest researcher with National Institute of Standards and Technologies from 1990 to 1993 he worked on vision-based navigation for autonomous vehicles. His experience also includes applications of optimization fuzzy logic neural network and genetic algorithm methods to engineering system design Mr. William Schmidt:co-founded Angle Incorporated in 1990 and has served as Vice PresidentlChiefScientist during this tame. He holds a B.Sc. in Applied Science from the Naval Acadt?my and an M.Sc. in Physics from the Naval Post Graduate School. He has cner 20 years experience in technical leadership
material and personnel management. He has led the application of computer aided design (CAD) and Product Model Information Exchange to the shipbuilding industry. His experience also includes leading the amlication of model based operational analysis to support the Live Fire Test Program for DDG 51 Class Destroyers. Mr. Krishna M. Choppella:is a Sofware Engineer at Eidea Laboratories
Incotporated where he works on componentbased distributed enterpvise frameworks. He has been involved in creating data analysis tools for the US Nay by integrating CAD modeis databases and graphical front ends. His work in the Masters degree program in Mechanical Engineering at the University of Texas at Austin was in di0ddase.r spectroscopy of combustion products in porous-matri burners. He received his Bachelors degree in Electrical Engineering in India. He was a Research Associate at the Centre for Laser Technology and Project Engi
Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive asse...
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Ship design is often multidisciplinary involving several design elements with various types of objectives and constraints (O/C) some easily described as mathematical formulas, others better modeled as descriptive assertions. This paper describes a method based on fuzzy functions and an integrated performance index to model O/C using descriptive assertions to be used with mathematical formulas in optimization. Another issue addressed in this paper concerns the coordination of design elements when sequentially coupled, that is, when one leads the other and the performance of the follower depends greatly on the design of the leader. Based on neuro-fuzzy techniques, the method described here coordinates and optimizes sequentially coupled elements. The two methods are applied to machinery arrangement (MA) and pipe routing (PR). Preliminary models for optimization of MA and PR are described considering convenience, producibility: engine room size, interference and location as factors in the O/C set. Some test results from MA/PR applications are presented and discussed. The methods are generic and can be extended to other elements in ship design. They are mutually independent and may be used separately Two advantages of their use are an improvement in overall performance and a reduction in the need for redesign of elements.
作者：
BAEHR, JSLCdr. Joseph S. Baehr:is serving as the Submarine Advanced Systems Engineer tor the TOMAHAWK Weapons Control System Program Office
PMA-282. He received his B.S. degree in Systems Engineering from the U.S. Naval Academy in 1983 and his M.S. degree in Electrical Engineering from the Naval Post Graduate School in 1990. He has served in several positions on board Sturgeon and Los Angeles class nuclear fast attack submarines including three years as Combat Systems Officer on USS Helena (SSN 725). He has been in his current assignment at the Cruise Missiles Project since June 1994 with primary responsibility for the Submarine ATWCS program.
The Advanced TOMAHAWK Weapons Control System (ATWCS) is being developed to support current and future tactical cruise missiles onboard navy ships. The ATWCS utilizes the Navy's standard Tactical Advanced Computer ...
The Advanced TOMAHAWK Weapons Control System (ATWCS) is being developed to support current and future tactical cruise missiles onboard navy ships. The ATWCS utilizes the Navy's standard Tactical Advanced Computer (TAC) 3 components and commercial standard Local Area Networks (LANs) to provide a flexible, robust system with excellent growth potential. Aggressive use of systems engineering principles has refined the system design so that it is adaptable to various Navy platforms. An excellent example of the success in meeting this design goal is the Submarine ATWCS. The primary data pathway for ATWCS is a Fiber Distributed Data Interface (FDDI) LAN connecting the four TAC 3 processors. Existing Common Display Consoles (CDCs) are used for display and control of the TAC 3 processors. The Submarine ATWCS builds on software already developed for surface ships. The open system architecture of this software is based on Computer Software Configuration Items (CSCIs) and several are obtained from other programs. Direct weapons interface in the Combat Control System (CCS) provides optimum efficiency in weapons control while gaining the functionality advantages of ATWCS. This paper describes the systems engineering solutions for both software and hardware to achieve a modern cruise missile weapons control capability for submarines utilizing non-development items (NDI), Commercial Off The Shelf (COTS) technology LANs and open system architecture.
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