An inverse procedure is introduced to identify the material properties of a printed circuit board (PCB) and components mounted on it. A modified micro genetic algorithm (muGA) with intergenerational projection search ...
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An inverse procedure is introduced to identify the material properties of a printed circuit board (PCB) and components mounted on it. A modified micro genetic algorithm (muGA) with intergenerational projection search technique is presented in this article to speed up the inverse searching process. The PCB is subjected to an enforced acceleration over a range of excitation frequencies and the frequency response is obtained computationally and experimentally. The frequency response at specific nodes on PCB and components are utilized as the input for the inverse procedure. Material properties that minimise the sum of the squares of the deviations between test and simulation results are inversely determined. The present inverse procedure can be used in a wide range of practical engineering problems.
This paper introduces the intelligent sequence design system of multi-stage cold extrusion. It discusses the method to build the part feature modeling and to realize feasibility checking, process planning and evaluati...
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This paper introduces the intelligent sequence design system of multi-stage cold extrusion. It discusses the method to build the part feature modeling and to realize feasibility checking, process planning and evaluation, process parameter optimization and sequence optimal selection, mainly focuses on the feature modeling and system implementation strategy. According to the given input data, the system can generate the forgeable geometry and the basic sequence design and evaluates the sequences, depending on the initial billet size and material or the evaluation knowledge in the knowledge base. An example proves the proposed theory and method. (c) 2006 Published by Elsevier B.V.
This paper presents a new robust decentralised frequency stabilisers design of Static Synchronous Series Compensators (SSSCs) by taking system uncertainties into consideration. As an interconnected power system is sub...
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This paper presents a new robust decentralised frequency stabilisers design of Static Synchronous Series Compensators (SSSCs) by taking system uncertainties into consideration. As an interconnected power system is subjected to load disturbances with changing frequency in the vicinity of the inter-area oscillation mode, system frequency may be severely disturbed and oscillate. To compensate for such load disturbances and stabilise frequency oscillations, the dynamic power flow control by an SSSC installed in series with a tie line between interconnected systems can be applied. The proposed decentralised design translates SSSCs installed in interconnected power systems into a Multi-Input Multi-Output (MIMO) system. The overlapping decompositions is used to extract the decoupled Single-Input Single-Output (SISO) subsystem embedded with the inter-area mode of interest from an MIMO system. As a result, each frequency stabiliser of SSSC can be independently designed to enhance the damping of the inter-area mode in the decoupled subsystem. In addition, by incorporating the multiplicative uncertainty model in the decoupled subsystem, the robust stability margin of system against uncertainties such as various load changes, system parameters variations etc., can be guaranteed in terms of the multiplicative stability margin (MSM). In this study, the configuration of frequency stabiliser is practically based on a second-order lead/lag compensator. Without trial and error, the control parameters of the frequency stabiliser are automatically optimised by a micro genetic algorithm, so that the desired damping ratio of the inter-area mode and the best MSM are acquired. Simulation study shows the high robustness of the decentralised frequency stabilisers against various load disturbances and system parameter variations in the three-area loop interconnected (c) 2006 Elsevier Ltd. All rights reserved.
This paper introduces the intelligent sequence design system of multi-stage cold extrusion. It discusses the method to build the part feature modeling and to realize feasibility checking, process planning and evaluati...
详细信息
This paper introduces the intelligent sequence design system of multi-stage cold extrusion. It discusses the method to build the part feature modeling and to realize feasibility checking, process planning and evaluation, process parameter optimization and sequence optimal selection, and mainly focuses on the feature modeling and system implementation strategy. According to the given input data, the system can generate the forgeable geometry and the basic sequence design and evaluates the sequences, depending on the initial billet size and material or the evaluation knowledge in the knowledge base. An example proves the proposed theory and method.
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