Logistics is a challenge in military as things are fluid and on the move constantly 24 X 7. Managing inventory for weapon systems, vehicle parts, ammunition, food items, utensils, clothing and other day-today necessary items is cumbersome and needs a professional solution incorporating the geographical challenges faced by military. Supply chain in military is done manually and thus prone to errors due to poor inventory management and manual documentation. This paper brings a green solution to this problem with minimum resource requirement and maximum coverage, also keeping in mind the remote area challenges such as power and weather conditions. Backscatter radios communicate by means of reflections without any batteries; rather they generate energy from ambient electromagnetic waves through energy harvesting. Multistatic scatter network uses carrier emitters and readers to gather information from hundreds of tags placed on different set of items spread over a large area. This data generated by reader from tags in a warehouse can automate the inventory management and lead to smart logistics system for military cargo facilities. This paper proposes a multi-static topology for large warehouses with non-linear energy harvesting for effective coverage of cargo facility. Paper also gives an insight on information and energy outage in small-scale fading scenarios. Comparison with linear energy harvesting and mono-static model is also carried out and substantiated by simulations.

Interior permanent magnet synchronous motors (IPMSMs) have been used extensively in the transportation, industrial, medical, and military fields recently because of their many benefits, including high power density, high torque, and high operational economy. However, current studies have mainly focused on using traditional windings for these motors, neglecting the potential improvements in motor performance that could be achieved with different winding types. Therefore, it is crucial to evaluate the performance of these motors when using different winding structures. This paper presents a combination of analytical technique and finite element method to compare the electromagnetic parameters (back electromotive force (EMF), output power and torque, and temperature rise) of IPMSMs with conventional and hairpin winding configurations. The validated method is then applied to a practical V-shape IPMSM with conventional and hairpin winding configurations.

The concept of Virtual Power Plant (VPP) emerges as a pivotal advancement in power systems engineering, aiming to enhance the integration of renewable energy sources into the power market. This research delves into the challenges faced by Distributed Energy Resources (DERs), such as power losses, voltage variations, and revenue losses in the distribution network, hindering the effective participation of small-scale renewable energy sources in the power market. Furthermore, the research addresses the challenge of poor dynamic response in VPPs attributed to dynamic loads and DER characteristics. To mitigate this, a Proportional Resonant (PR) controller is proposed to enhance the dynamic performance of the VPP. Comparative analysis with the conventional Fractional Order Proportional Integral Derivative (FOPID) controller reveals the superiority of the PR controller. The PR-controlled VPP exhibits improved dynamic performance with a lower settling time of 0.49 seconds and a reduced steady-state error of 2.78 compared to the FOPID controller. The investigations extend to the comparison of voltage, real power, and reactive power between the FOPID and PR controllers. The results underscore the superior response of the PR-controlled VPP, showcasing its efficacy in achieving faster responses and minimizing spikes in voltage and power variables.

he grounding grid of a power system is very important for absorbing the harmful overvoltages and/or overcurrents during transients. The lightning surges frequently causes overvoltages and/or overcur- rents via the grounding grid. This may have dangerous effects on persons and/or equipment. Therefore, this paper reviews in detail the transient in grounding grids due to lightning surges. The grounding grid configura- tions and mathematical modeling are explained. Many configurations are used in the analysis such as one, four, sixteen meshes grounding configurations. Also, two injection points are analyzed: at the terminal and the middle of the grid. The analysis is carried out using ATP/EMTP. Many transient responses of voltages and currents at different points of the grounding grid for different configurations are calculated and compared. The peak voltage and current values are compared to be the basis of safety design of the grounding system.

Cable-driven robotic arms (CDRA) are robots with novel structures, wherein flexible cables are used to drive rigid links identified to move the end effector according to a desired trajectory.Due to the complex and nonlinear characteristics of this type of robotic arm, it is challenging to derive the model, which requires critical analysis to be conducted.This paper presents the design, modeling, and Model Predictive Control (MPC) of a special 2D CDRA with four rigid links.Maplesim is employed as a tool to design and simulate the proposed robotic arm.First, the prototype model is constructed in Maplesim and simulated using random input signals, and the input and output data sets are collected.A data-driven scheme based on neural networks is used to learn the unknown kinematics of the CDRA and to solve the kinematic control issue.The Matlab-Simulink platform is used for this purpose, and the black box model is obtained using the neural network fitting tool.MPC is then used for the end effector trajectory tracking control and to validate the modeling processes.Furthermore, comparative simulations using two scenarios are applied to the controlled system to verify the effectiveness of the proposed modeling and control method with the aid of Mean Squared Error (MSE) as an optimality index.The result verified that CDRA is capable of following reference trajectories accurately with MSE of 10e-5 and 4.99e-5 for rhombus and circular trajectories respectively.