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Summary DC‐DC converters are conventionally utilized to drive DC motors, where boost converters are employed in several emerging drive‐based applications. The modern boost converter motor drives are controlled with digital circuits due to its flexibility and cost‐effectiveness. However, the impact of the sampling in digital controllers is generally neglected during the modeling of the drives. In this paper, the sampling effect of digital controllers is analyzed for the steady‐state speed of the boost converter fed brushed permanent magnet DC (PMDC) motor drive, and the corresponding mathematical model is proposed. A relationship is established between time delay, multisampling factor, and duty ratio, which is further implemented on the PMDC motor model. The modeling shows that a time delay in pulse generation is induced due to the sampling that changes the duty ratio and the resultant motor speed. The variation in motor speed obtained from the analysis justifies the relevance of the proposed model. The proposed mathematical model shows that a high sampling frequency of the digital controller is essential to adapt the analog controller‐based motor drive behavior. However, an optimization methodology between the controller frequency and drive performance for low‐cost applications has been mentioned in this paper. The experimental analysis performed on the simulation environment and the real‐time laboratory prototype complements the precision of the proposed model.

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In present scenario the pandemic COVID-19 is spreading out in most of the widely populated countries. Various researches to restrict the spreading of pandemic COVID-19 are going on in both medical and administrative point of view. The focus has been given in this research keeping administrative point of view in mind. In this paper a dynamic model of infected population due to spreading of pandemic COVID-19 considering both intra and inter zone mobilization factors with rate of detection has been proposed. Few factors related to intra zone mobilization; inter zone mobilization and rate of detection are the key points in the proposed model. Various remedial steps are taken into consideration in the form of operating procedures. Further such operating procedures are applied over the model in standalone or hybridized mode and responses are reported in this paper in case-studies manner. Further zone-wise increase in infected population due to spreading of pandemic COVID-19 has been studied and reported in this paper.