An optimization method for conceptual design in engineering systems based on high order singular value decomposition

Se presenta un nuevo método de diseño conceptual en Ingeniería Aeronáutica basado el uso de modelos reducidos, también llamados modelos sustitutos (‘surrogates’). Los ingredientes de la función objetivo se calculan para cada indiviudo mediante la utilización de modelos sustitutos asociados a las distintas disciplinas técnicas que se construyen mediante definiciones de descomposición en valores singulares de alto orden (HOSVD) e interpolaciones unidimensionales. Estos modelos sustitutos se obtienen a partir de un número limitado de cálculos CFD. Los modelos sustitutos pueden combinarse, bien con un método de optimización global de tipo algoritmo genético, o con un método local de tipo gradiente. El método resultate es flexible a la par que mucho más eficiente, computacionalmente hablando, que los modelos convencionales basados en el cálculo directo de la función objetivo, especialmente si aparecen un gran número de parámetros de diseño y/o de modelado. El método se ilustra considerando una versión simplificada del diseño conceptual de un avión. Abstract An optimization method for conceptual design in Aeronautics is presented that is based on the use of surrogate models. The various ingredients in the target function are calculated for each individual using surrogates of the associated technical disciplines that are constructed via high order singular value decomposition and one dimensional interpolation. These surrogates result from a limited number of CFD calculated snapshots. The surrogates are combined with an optimization method, which can be either a global optimization method such as a genetic algorithm or a local optimization method, such as a gradient-like method. The resulting method is both flexible and much more computationally efficient than the conventional method based on direct calculation of the target function, especially if a large number of free design parameters and/or tunablemodeling parameters are present. The method is illustrated considering a simplified version of the conceptual design of an aircraft empennage.

Modulation-mode Assignment for SVD-assisted Multiuser MIMO Systems with Correlation.

Multiuser multiple-input multiple-output (MIMO) downlink (DL) transmission schemes experience both multiuser interference as well as inter-antenna interference. The singular value decomposition provides an appropriate mean to process channel information and allows us to take the individual user’s channel characteristics into account rather than treating all users channels jointly as in zero-forcing (ZF) multiuser transmission techniques. However, uncorrelated MIMO channels has attracted a lot of attention and reached a state of maturity. By contrast, the performance analysis in the presence of antenna fading correlation, which decreases the channel capacity, requires substantial further research. The joint optimization of the number of activated MIMO layers and the number of bits per symbol along with the appropriate allocation of the transmit power shows that not necessarily all user-specific MIMO layers has to be activated in order to minimize the overall BER under the constraint of a given fixed data throughput.

Diseño de un sistema de climatización para un edificio singular mediante el uso de fuentes de energía renovable

El proyecto consiste en el diseño del sistema de climatización de un edificio ubicado en la ciudad de Madrid que utilice la energía solar como fuente de calor y electricidad. El objetivo es que el edificio tenga un consumo energético lo más bajo posible y que utilice energías de origen renovable para su explotación. Se incluye el cálculo de cargas térmicas, el dimensionamiento del sistema de climatización y de los sistemas de captación de energía solar (térmica y fotovoltaica). Adicionalmente, se definen las principales características de un sistema de control centralizado que permita optimizar el rendimiento y monitorizar el funcionamiento de la instalación de forma continua. Se incluye el diseño de las instalaciones auxiliares con un grado de detalle suficiente que permita su valoración, tanto desde el punto de vista energético como económico. Como parte fundamental del proyecto, se extraen conclusiones acerca del ahorro energético de las instalaciones y se analiza la viabilidad económica de las inversiones. ABSTRACT The project covers the design of a Heating and Climatization System for a building located in the city of Madrid (Spain). The facilities will use solar energy as the main source for both heat and electricity. The main goals are to achieve the lowest possible energy consumption and to use renewable sources of energy to cover it. Calculation of thermal charges is included, together with the sizing of both the Climatization System and the Solar Energy (Thermal and PV) facilities. In addition, the main characteristics of a Centralized Control System are defined. This will help both to optimize the performance of the different systems involved and to monitor the operation. Design of all auxiliary systems is included with enough level of detail as to be able to evaluate them from both energetic and economic points of view. Paramount in this project is to be able to draw conclusions about the energy savings and the profitability (or not) of the main investments to be carried out

Transmitter-side antennas correlation in SVD-assisted MIMO systems

MIMO techniques allow increasing wireless channel performance by decreasing the BER and increasing the channel throughput and in consequence are included in current mobile communication standards. MIMO techniques are based on benefiting the existence of multipath in wireless communications and the application of appropriate signal processing techniques. The singular value decomposition (SVD) is a popular signal processing technique which, based on the perfect channel state information (PCSI) knowledge at both the transmitter and receiver sides, removes inter-antenna interferences and improves channel performance. Nevertheless, the proximity of the multiple antennas at each front-end produces the so called antennas correlation effect due to the similarity of the various physical paths. In consequence, antennas correlation drops the MIMO channel performance. This investigation focuses on the analysis of a MIMO channel under transmitter-side antennas correlation conditions. First, antennas correlation is analyzed and characterized by the correlation coefficients. The analysis describes the relation between antennas correlation and the appearance of predominant layers which significantly affect the channel performance. Then, based on the SVD, pre- and post-processing is applied to remove inter-antenna interferences. Finally, bit- and power allocation strategies are applied to reach the best performance. The resulting BER reveals that antennas correlation effect diminishes the channel performance and that not necessarily all MIMO layers must be activated to obtain the best performance.