<p>The main aim of this paper is to present a novel control approach of an induction machine (IM) using an improved space vector modulation based direct torque control (SVM-DTC) on the basis of imaginary swapping instant technique. The improved control strategy is presented to surmount the drawbacks of the classical direct torque control (DTC) and to enhance the dynamic performance of the induction motor. This method requires neither angle identification nor sector determination; the imaginary swapping instant vector is used to fix the effective period in which the power is transferred to the IM. Both the classical DTC method and the suggested adaptive DTC techniques have been carried out in MATLAB/SimulinkTM. Simulation results shows the effectiveness of the enhanced control strategy and demonstrate that torque and flux ripples are massively diminished compared to the conventional DTC (CDTC) which gives a better performance. Finally, the system will also be tested for its robustness against variations in the IM parameters.</p>

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The present paper, introduces Adaptive Neuro Fuzzy Inference System (ANFIS) as one of the most mature and intelligent methods to predicte internal temperature and relative humidity of a greenhouse system. To conduct the application of the proposed strategy, an experimenntal greenhouse equipied with several sensors and actuators is engaged. In this sense a data base was collected during a period of day time where the temperature and relative humidity dynamics were observed inpresence of others climatic parameters and the actuators’ actions. The results demonstrate that by using ANFIS method, the predictions match the target points with a good accuracy. Therefore, the effectiveness of the strategy in term of both inside climate parameters’ prediction is guaranteed.

Wind farms along bird migration routes may be very hazardous. During the spring migration season in 2020, a study on the collision of bat and bird species was carried out on the KFW 240 MW (120 WTGs) wind farm. Direct inspections by searchers and unsystematic line transect searches with autos were used in the carcass searches technique. To examine the collected data, the GenEst estimator was used. During a systematic search, six bird carcasses/remains were discovered, three of which belonged to migratory soaring birds (MSB) with the least concern status. During the unsystematic search, two MSB and one Passerine carcasses were discovered, but no bat carcasses were found as collision victims. Furthermore, no bird or bat carcasses were detected beneath the high voltage powerlines that run parallel to the wind farm. Carcass persistence trials revealed that MSB lasted 23.92 days while little passerines lasted 3 days. The detection probability for all decay types was 87.2, 93.3 % for MSB, and 41.9 % for tiny Passerines. Moreover, the final fatality estimation for the plant and its structures was 0.084 MSB fatality/ turbine/ season, 0.166 Passerine/ turbine/ season.

This paper presents the modeling of an intelligent combined MPPT and Lead-Acid battery charger controller for standalone solar photovoltaic systems. It involves the control of a DC/DC buck converter through a control unit, which contains two cascaded fuzzy logic controllers (FLC), that adjusts the required duty cycle of the converter according to the state of charge and the three stage lead acid battery charging system. The first fuzzy logic controller (FLC1) consists of an MPPT controller to extract the maximum power produced by the PV array, while the second fuzzy controller (FLC2) is aimed to control the voltage across the battery to ensure the three stage charging approach. This solution of employing two distinct cascaded fuzzy controllers surmounts the drawbacks of the classical chargers in which the voltage provided to the lead acid battery is not constant owing to the effects of the MPPT control which can automatically damage the battery. Thus, the suggested control strategy has the benefit of extracting the full power against the PV array, avoiding battery damage incurred by variable MPPT voltage and increasing the battery’s lifespan.