Optimization of Different Deployments and Resolution of Antenna Arrays in SWIPT

[[abstract]]In this paper, three different deployment antenna arrays with circular, triangular and rectangular shapes were used to optimize the simultaneous wireless information and power transfer (SWIPT) system for the Internet of Things (IoT). Ray-tracing was employed to channel the model for a real environment. Self-adaptive dynamic differential evolution (SADDE) was used to optimize the harvesting power ratio with bit error rate constrained by the two different resolutions of feed length (high resolution and low resolution). Numerical results show that those three antenna arrays can achieve the goal for information quality in both resolutions. The harvesting power ratio for the circular array is the best and the harvesting power ratio for the rectangular array is the worst. The harvesting power ratio for the low-resolution case is 25% lower than the high-resolution case. However, the circular antenna array is the best deployment in those three different arrays for both high and low resolutions.[[notice]]補正完

Different Object Functions for SWIPT Optimization by SADDE and APSO

[[abstract]]Multiple objective function with beamforming techniques by algorithms have been studied for the Simultaneous Wireless Information and Power Transfer (SWIPT) technology at millimeter wave. Using the feed length to adjust the phase for different objects of SWIPT with Bit Error Rate (BER) and Harvesting Power (HP) are investigated in the broadband communication. Symmetrical antenna array is useful for omni bearing beamforming adjustment with multiple receivers. Self-Adaptive Dynamic Differential Evolution (SADDE) and Asynchronous Particle Swarm Optimization (APSO) are used to optimize the feed length of the antenna array. Two different object functions are proposed in the paper. The first one is the weighting factor multiplying the constraint BER and HP plus HP. The second one is the constraint BER multiplying HP. Simulations show that the first object function is capable of optimizing the total harvesting power under the BER constraint and APSO can quickly converges quicker than SADDE. However, the weighting for the final object function requires a pretest in advance, whereas the second object function does not need to set the weighting case by case and the searching is more efficient than the first one. From the numerical results, the proposed criterion can achieve the SWIPT requirement. Thus, we can use the novel proposed criterion (the second criterion) to optimize the SWIPT problem without testing the weighting case by case.[[notice]]補正完

Análisis de sistemas de control mediante el método BLT

“La importancia del control multivariable ha aumento en los últimos años; el presente trabajo muestra una modificación a la metodología propuesta por Luyben en 1986 (BLT, por sus siglas en inglés; biggest log modulus tuning) para la sintonización de controladores multivariables. La propuesta consistió en desarrollar un método de sintonización para controladores multivariables que fuese fácil de usar e implementar en la industria. Se comenzó con la identificación de los parámetros proporcionales por un método iterativo y posteriormente se añadió la acción integral. El proceso para la sintonización se llevó a cabo explorando los rangos de los índices relacionados con la minimización del error y la señal de control. El procedimiento se generalizó para controladores multivariables ya existentes (sistemas 2 × 2 y 3 × 3); los cuales fueron las columnas de destilación Wood & Berry, Wardle & Wood, el reactor de polimerización ISP y la columna de Ogunnaike & Ray. Se observó que el método propuesto permite obtener controladores PI multivariables con un desempeño comparable a otros reportados en la literatura”