1,721,443 research outputs found
Exploration versus Exploitation Using Kriging Surrogate Modelling in Electromagnetic Design
Full text linkThis paper discusses the use of kriging surrogate modelling in multiobjective design optimisation in electromagnetics. The importance of achieving appropriate balance between exploration and exploitation is emphasised when searching for the global optimum. It is argued that this approach will yield a procedure to solve time consuming electromagnetic design problems efficiently and will also assist the decision making process to achieve a robust design of practical devices considering tolerances and uncertainties
Correlation matrices in kriging assisted optimisation of electromagnetic devices
No full textKriging surrogate modelling facilitates efficient decision making regarding where to place the next point for evaluation during optimisation. This is particularly helpful in the design of electromagnetic devices where computationally expensive numerical field modelling needs to be used. The disadvantage, however, is that correlation matrices are required which, for problems with many design variables and multiple objectives, may grow in size leading to the need for page swapping and thus slowing down of what in principle should be a very fast process. In this study several methodologies to reduce the computational resources required in such problems are proposed. The efficiency of the proposed approach is demonstrated using an example of a large multi-parameter optimisation problem where kriging coupled with the average gradient value method is employed
Compact Electromagnetic Bandgap Structures for Notch Band in Ultra-Wideband Applications
No full textThis paper introduces a novel approach to create notch band filters in the front-end of ultra-wideband (UWB) communication systems based on electromagnetic bandgap (EBG) structures. The concept presented here can be implemented in any structure that has a microstrip in its configuration. The EBG structure is first analyzed using a full wave electromagnetic solver and then optimized to work at WLAN band (5.15–5.825 GHz). Two UWB passband filters are used to demonstrate the applicability and effectiveness of the novel EBG notch band feature. Simulation results are provided for two cases studied
Grid-connected photovoltaic module and array sizing based on an iterative approach
No full textThis paper deals with the sizing of a simple but efficient grid-connected photovoltaic (GCPV) system to minimize the difference between the electrical energy generated by the GCPV system and the required energy. It provides a technical sizing procedure based on an iterative approach for meeting specific amount of GWh output required by a future PV system considered for Kuwait. The iterative sizing algorithm has been implemented to determine the configuration of the PV array, actual rated output power with its relative energy, area of the array and efficiency of the system using an existing PV module and inverter database. Consequently the size of the array has been estimated based on a particular PV module and inverter combination. Optimum inverter-to-PV array sizing factor for a grid-connected PV system was determined in terms of the total system output
Compact Electromagnetic Bandgap Structures for Notch Band in Ultra-Wideband Applications
No full textThis paper introduces a novel approach to create notch band filters in the front-end of ultra-wideband (UWB) communication systems based on electromagnetic bandgap (EBG) structures. The design presented here can be implemented in any structure that has a microstrip in its configuration. The EBG structure is first analyzed using a full wave electromagnetic solver and then optimized to work at WLAN band (5.15-5.825GHz). Two UWB passband filters are used to demonstrate the applicability and effectiveness of the novel EBG notch band feature. Simulation results are provided for two cases studied
Adaptive Weighted Expected Improvement With Rewards Approach in Kriging Assisted Electromagnetic Design
Full text linkThe paper explores kriging surrogate modelling combined with expected improvement approach for the design of electromagnetic devices. A novel algorithm based on the concept of rewards is proposed, tested and demonstrated in the context of TEAM Workshop Problem 22. Balancing exploration and exploitation is emphasized and robustness of the design considered
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