Mohamed M. Elkhatib

The evaluation of propulsion systems used in UAVs is of paramount importance to enhance the flight endurance, increase the flight control performance, and minimize the power consumption. This evaluation, however, is typically performed experimentally after the preliminary hardware design of the UAV is completed, which tends to be expensive and time-consuming. In this paper, a comprehensive theoretical UAV propulsion system assessment is proposed to assess both static and dynamic performance characteristics via an integrated simulation model. The approach encompasses the electromechanical dynamics of both the motor and its controller. The proposed analytical model estimates the propeller and motor combination performance with the overarching goal of enhancing the overall efficiency of the aircraft propulsion system before expensive costs are incurred. The model embraces an advanced blade element momentum theory underpinned by the development of a novel mechanism to predict the propeller performance under low Reynolds number conditions. The propeller model utilizes XFOIL and various factors, including post-stall effects, 3D correction, Reynolds number fluctuations, and tip loss corrections to predict the corresponding aerodynamic loads. Computational fluid dynamics are used to corroborate the dynamic formulations followed by extensive experimental tests to validate the proposed estimation methodology.

The thermometer digital-to-analog converter (DAC) is a distinctive architecture that plays a vital role in converting digital data into corresponding analog signals, the thermometer DAC employs a resistor network where each bit of the digital input corresponds to a unique resistor. It has notable drawbacks that need careful consideration. As the resolution of the DAC increases, the number of required current sources grows exponentially, leading to complex and demanding circuitry. This can escalate power consumption and occupy significant chip area, which is a critical concern in integrated circuit design. Furthermore, the current mismatch between the multiple current sources. Therefore, integrating memristors into DACs paves the way for more compact and efficient designs, reducing system complexity and enhancing reliability. The Voltage ThrEshold Adaptive Memristor (VTEAM) model of memristor is validated by using Virtuoso. In addition, a digital-to-analog converter based on memristor technology is implemented, taking advantage of the memristor’s compact size, minimal power usage, and a voltage threshold that is relatively low. The DAC design being proposed is based on a core DAC cell that consists of two memristors connected in opposing orientations.

Low dropout linear voltage regulators are analog circuit blocksthat play an important role in power delivery process and prevent a system from fluctuations in the supply rails.There is a high demand on using LDO regulator in system-on-chip (SOC) applications, given their inherently noisy environment.This work presents a design of low dropout voltage regulator (LDO) to satisfy desiredparameters. Basic design parameters of the proposed LDO CMOS circuit are introduced. The proposed circuit is designedto achieve a low quiescent current and dropout voltage as well as large PSRR value as possible, while maintaining the stability is paramount.Simulation results of the proposed circuit using 180 nm process CMOS technology and its corner analysis are presented. The simulation of the proposed LDO design achieveslow quiescent current in the range of microamperes.

Recently, stability of nonlinear multi-input, multi-output (MIMO) system has attracted a significant number of researchers specially, due to the large development in practical implementation of nonlinear system with uncertainty. In this paper, using additively decomposable property based on the structure of a LUR’E problem, an intelligent Takagi-Sugeno fuzzy block is added in the system feedback. The new proposed system includes all the system nonlinearities as result it grantees system absolute stability. A simulation result of the new algorithm for MIMO system is introduced.

Conference proceedings Energy Efficient Smart Wireless Sensor Network for Border Monitoring

In this paper, a general platform of a surface-to-surface missile model is presented. An accurate missile system model was made with consideration of the rigid body dynamics in space with six degrees of freedom and equation of motion starting from Newton second law to the non-linear state space model of the missile. Computer simulations have been executed using the MATLAB / Simulink software. Verification of the system model has been made.

A safe border is the main concern for many governments nowadays. This paper presents a low power intelligent controller for an intrusion detection using neruo-fuzzy power gating technique to reduce the static power loss. The system uses input signals from a PIR, an acoustic and magnetic sensors, the output is presented as a warning alarm to define the kind of the intrusion. The system behavior is simulated using MATALB-SIMULINK and verified by hardware implementation.