Despite promising development in the optimization of passive control system in building structures, recent research efforts usually consider two-dimensional plane frame structures using lumped mass models. As building...
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ISBN:
(纸本)9781615670444
Despite promising development in the optimization of passive control system in building structures, recent research efforts usually consider two-dimensional plane frame structures using lumped mass models. As buildings are threedimensional in geometry, it is necessary to carry out the optimization in three dimensions rather than in two dimensions. In this study, three-dimensional building structures are represented in a more realistic pattern by using threedimensional finite element models rather than lumped mass models. Dynamic analysis of such three-dimensional finite element models added with passive damping devices is studied first. Genetic algorithm is then used to determine the optimal configuration of passive control system. A numerical example of an irregular three-dimensional building frame structure presented demonstrates that an effective computational framework for the optimization of passive control system in three-dimensional buildings is established in this study by combining the versatile genetic algorithm and efficient dynamic analysis methods.
this paper presents an algorithm to calculate the current references on line, considering the inherent nonlinear nature of the saturation effect in an interior permanent-magnet synchronous machine for the minimum-copp...
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this paper presents an algorithm to calculate the current references on line, considering the inherent nonlinear nature of the saturation effect in an interior permanent-magnet synchronous machine for the minimum-copper-loss control under the current and voltage limit of the drive system. this paper basically approaches this issue as a nonlinearly constrained optimization problem where the torque command imposes the nonlinear equality constraint and the voltage limit imposes the nonlinear inequality constraint. Depending on the operating region, it solves the corresponding set of nonlinear equations in real time derived from the Lagrange multiplier method. Newton's method among various techniques is adopted to implement the numerical solution. this scheme gives accurate results not only in motoring but also in generating operation of the machine, since the voltage drop of the stator resistance is taken into account, which is hardly applicable to a two-dimensional lookup table where the inputs are the torque command and the maximum flux amplitude, and the output is each axis current reference in the rotor reference frame. the simulation and experimental results show the feasibility and performance of the proposed technique.
A reliability-based approach for the Pareto optimum design of robust compensators for a dynamic system with probabilistic uncertainty is presented. In this way, some non-dominated optimum robust compensators in the Pa...
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ISBN:
(纸本)9789077381304
A reliability-based approach for the Pareto optimum design of robust compensators for a dynamic system with probabilistic uncertainty is presented. In this way, some non-dominated optimum robust compensators in the Pareto sense are found using four non-commensurable objective functions both in time and frequency domains based on stochastic behavior of a system with parametric uncertainties. It is shown that multi-objective Pareto optimization of such robust compensators using a recently developed diversity preserving mechanism genetic algorithm unveils some very important and informative trade-offs among these objective functions.
the paper presents the mathematical model and thermal-hydraulic analysis of CANDU Shutdown Cooling system (SDCS). the mathematical model for the SDCS equipments was developed. Initially these mathematical models were ...
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ISBN:
(纸本)9789077381304
the paper presents the mathematical model and thermal-hydraulic analysis of CANDU Shutdown Cooling system (SDCS). the mathematical model for the SDCS equipments was developed. Initially these mathematical models were coded in ACSL simulation language then have been implemented in the Modular modelingsystem (MMS) code using the CompGen tools. there are two options for the SDCS operation with different flow path configuration. Essentially, for each option, the thermal regime is time dependent but the flow regime is time independent. therefore, for the thermal-hydraulic analysis of the system two steps were used. In the first step the flow along the system pipes was determined for each operation stage withthe PIPENET code. Subsequently, in the second step, the models developed were used to predict the thermal behavior of reactor core. the results obtained for the cooling of the Primary Heat Transport system (PHTS) from 177 degrees C to 54 degrees C are presented.
this paper briefly reviews some of the most prominent systems theories from the 20th century and supports the arguments of Murray Gell-Mann who proposed the use of "plectics" instead of the overused and ambi...
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In this paper, we present a review concerning the coupling of Geographical Information system with agent-based simulation. Withthe development of new technologies and huge geographical databases, the geographers now ...
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ISBN:
(纸本)9789077381304
In this paper, we present a review concerning the coupling of Geographical Information system with agent-based simulation. Withthe development of new technologies and huge geographical databases, the geographers now deal with complex interactive networks which describe the new Geopolitics and world-wide Economy. the aim is to implement some self-organization processes that can emerge from these complex systems. We explain how we can today model such phenomena and how we can implement them in a practical way.
the optimal load of the power system (PS) sources depends on the structure of committing sources, that might affect the generation costs in the given power network. the expected costs of energy for the given wholesale...
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ISBN:
(纸本)9789077381304
the optimal load of the power system (PS) sources depends on the structure of committing sources, that might affect the generation costs in the given power network. the expected costs of energy for the given wholesale providers and power plants are calculated using some simulation procedures, assuming the varied structure of sources- types of power plants. In the short time period the results support the real time operation of PS. Over a longer time they enable the definition of the optimal policy of changing or modernizing the power structure. Operation of an example set of the discussed power plants, including all types of primary energy sources and converters, including also the pumped storage hydroelectric plant (PSHP) and wind power plants (WPP), is described in accordance withthe balance of the load in the PS. Upon the base of the developed simulator, the mode of operation the sources load is based on the minimization of the cost of generated energy. the structure of the simulator (Sroczan 2005) consists of some procedures which simulate the generation policy and procedures checking the economic quality of balancing the generation and demand of electric power and energy in the discussed PS.
the proceedings contain 82 papers. the topics discussed include: a formal method for the sequential untimed subset of systemC;process interaction diagrams for structured discrete event simulation modeling;contextual t...
ISBN:
(纸本)9077381309
the proceedings contain 82 papers. the topics discussed include: a formal method for the sequential untimed subset of systemC;process interaction diagrams for structured discrete event simulation modeling;contextual testing of interactive product simulations for new generation products;simulation model interoperability in support of complex organisation design and change;the simulation of the economic effect of power system structure including renewable sources of energy;event simulation of supply chain networks - dynamic detailing in the material flow simulator d3FACT insight;a queuing network model of patient flow in an ancient and emergency department;reliability based Pareto optimum design of robust compensators for a dynamic system with parametric uncertainty;expand scope of traffic flow analysis: entity flow-phase analysis for rapid performance evaluation of enterprise process system;and transient analysis of semi-Markovian switching systems in telecommunication networks.
In a large-scale dynamic system with multiple distributed entities, each withtheir own set of interests, there is a need to find a globally acceptable and optimal solution state. this solution state is, by definition...
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ISBN:
(纸本)3540378715
In a large-scale dynamic system with multiple distributed entities, each withtheir own set of interests, there is a need to find a globally acceptable and optimal solution state. this solution state is, by definition, efficient to all entities with respect to their own individual goals and to the system as a whole. In these dynamic environments, this solution state can be achieved by utilizing software techniques from the field of game theory in order to make optimal decisions. We present an application built upon a generalized optimization framework that can be applied to a number of domains, such as cargo or network traffic algorithms. In this research, we used a market-based approach to air traffic flow management through a modeling and simulation environment. the aim is to allow individual aircraft a certain degree of local autonomy, much like cars on a highway. Our system is able to cope in real time with failures such as node loss and adjust system parameters accordingly to optimize results based on the goals of the involved agents. We describe tradeoffs between different agent interaction frameworks with respect to their performance in market mechanism auctions. We also discuss lessons learned while implementing this application. this research has built upon our previously reported work [20, 21] on route optimizations and airspace sector design in an air traffic control network, by adding in the goals of interested entities, e.g. airlines, aircraft, and airports, maximizing the "payoff"to each player (agent). It is intended that the results of our work will be directly used in this domain. In addition, we envision our work being leveraged for other optimization tasks such as data traffic on a network, first responder / disaster relief efforts, and other tasks where rapid solving of large-scale optimization problems is essential.
Fuzzy Connectedness is an important image segmentation routine for image processing of medical images. It is often used in preparation for surgery and sometimes during surgery. It is important to have an algorithm whi...
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