Mechanical Modeling and Simulation for the Take-Off and Landing Performance Calculation of Low-Cost UAVs

2021 ◽  
pp. 1-14
Author(s):  
Dai Yuke ◽  
Li Jun ◽  
Xu Yiming
2011 ◽  
Vol 403-408 ◽  
pp. 3769-3774 ◽  
Author(s):  
Asif Mirza ◽  
Nor Hisham Hamid ◽  
Mohd Haris Md Khir ◽  
Khalid Ashraf ◽  
M.T. Jan ◽  
...  

This paper reports design, modeling and simulation of MEMS based sensor working in dynamic mode with fully differential piezoresistive sensing for monitoring the concentration of exhaled carbon dioxide (CO2) gas in human breath called capnometer. CO2 being a very important biomarker, it is desirable to extend the scope of its monitoring beyond clinical use to home and ambulatory services. Currently the scope of capnometers and its adaption is limited by high cost, large size and high power consumption of conventional capnometers . In recent years, MEMS based micro resonant sensors have received considerable attention due to their potential as a platform for the development of many novel physical, chemical, and biological sensors with small size, low cost and low power requirements. The sensor is designed using 0.35 micron CMOS technology. CoventorWare and MATLAB have been used as simulation software. According to the developed model and simulation results the resonator has resonant frequency 57393 Hz and mass sensitivity of 3.2 Hz/ng. The results show that the longitudinal relative change of resistance is 0.24%/µm while the transverse relative change of resistance is -0.03%/µm.


2021 ◽  
Vol 47 (3) ◽  
pp. 2981-2998
Author(s):  
Sandeep P. Patil ◽  
Vinayak G. Parale ◽  
Hyung-Ho Park ◽  
Bernd Markert

Author(s):  
A. Contrerasa ◽  
F. Possob ◽  
Т. N. Veziroglu

The purpose of this work is to develop and evaluate a mathematical model for the process of hydrogen production in Venezuela, via electrolysis and using hydroelectricity, with a view to using it as an energy vector in rural sectors of the country. Regression models were prepared to estimate the fluctuation of the main variables involved in the process: the production of hydrogen, the efficiency of energy conversion, the cost of hydroelectricity and the cost of the electrolyser. Finally, the proposed model was applied to various different time-horizons and populations, obtaining the cost of hydrogen production in each case. The results obtained are well below those mentioned in the references, owing largely to the low cost of the electricity used, which accounts for around 45% of the total cost of the system.


Author(s):  
Shafagh Jafer ◽  
Stephen Jones ◽  
Ashok Vardhan Raja

Only a small amount of work has been published on the topic of exploiting existing Long-Term Evolution-Advanced (LTE) cellular communication network infrastructure for Unmanned Aerial Vehicles (UAV) data links. This paper documents a modeling and simulation (m&s) framework that has been developed utilizing the powerful OMNeT[Formula: see text] simulation tool for assessing the feasibility and effectiveness of this prospect in various UAV scenarios. Using multiple scenarios, we have studied the data rate requirements for communications between small and medium-sized UAVs and base stations. Using this framework, we have shown that the data rate requirements for the links are within the data throughput achieved by LTE networks. The developed framework implements a propagation model endorsed by the 3GPP LTE project team and also accurately models the high mobility of UAVs. The framework is highly configurable and extensible and boasts of automatic aggregation of results and chart plotting. The outcomes of this research may be utilized by industry for rapidly deploying highly mobile, low-cost UAVs in a wide range of applications and scenarios.


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