The main benefits of fuzzy logic control (FLC) allow a qualitative knowledge of the desired system’s behavior to be included as IF-THEN linguistic rules for the control of dynamical systems where either an analytic model is not available or is too complex due, for instance, to the presence of nonlinear terms. The computational structure requires the definition of the FLC parameters namely, membership functions (MF) and a rule base (RB) defining the desired control policy. However, the optimization of the FLC parameters is generally carried out by means of a trial and error procedure or, more recently by using metaheuristic nature-inspired algorithms, for instance, particle swarm optimization, genetic algorithms, ant colony optimization, cuckoo search, etc. In this regard, the cuckoo search (CS) algorithm as one of the most promising and relatively recent developed nature-inspired algorithms, has been used to optimize FLC parameters in a limited variety of applications to determine the optimum FLC parameters of only the MF but not to the RB, as an extensive search in the literature has shown. In this paper, an optimization procedure based on the CS algorithm is presented to optimize all the parameters of the FLC, including the RB, and it is applied to a nonlinear magnetic levitation system. Comparative simulation results are provided to validate the features improvement of such an approach which can be extended to other FLC based control systems.

In this paper, an energy management strategy based on microgrid power forecasting is applied to a residential grid-connected electro-thermal microgrid with the aim of smoothing the power profile exchanged with the grid. The microgrid architecture under study considers electrical and thermal renewable generation, energy storage system (ESS), and loads. The proposed strategy manages the energy stored in the ESS to cover part of the energy required by the thermal generation system for supplying domestic hot water to the residence. The simulation results using real data and the comparison with previous strategy have demonstrated the effectiveness of the proposed strategy.

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Esta investigación tiene por objetivo hallar la relación entre el burnout, el estrés laboral, la satisfacción laboral y el conflicto trabajo-familia en controladores de tráfico aéreo, como variables diferenciales: edad, sexo, estado civil, permanencia laboral, tipo de contrato y presencia o ausencia de hijos. Esta investigación es de tipo descriptivo-correlacional de corte transversal. Se aplicaron los Cuestionario: MBI-GS de Burnout, Instrumento de Medición de detonantes de Estrés Laboral para pilotos (IMDELP) y el Cuestionario Conflicto Trabajo-Familia. La muestra fue de 161 personas, mediante muestreo intencionado. Los resultados indican que se obtuvo un nivel moderado de burnout, estrés laboral y conflicto trabajo-familia, existiendo diferencias significativas y directamente proporcionales a la hora de analizar las dimensiones del burnout relacionándolas con extensión de las jornadas de trabajo y agotamiento, agotamiento y conflicto trabajo-familia, estrés laboral y cinismo.