46 research outputs found
Performance Study of BLDC Motor Used in Wireless Medical Applications
Wireless network technology has created a new era of living, starting from day-to-day house hold appliances to space applications, wireless communication has its place. Especially in medical electronics wireless communication, has taken the patient monitoring and clinical diagnosis to next level, capsule endoscopy, remote repository system and gastrointestinal tract exploration are some samples. In most of these applications the wireless communication is used to control the position of the Brushless DC (BLDC) motor placed in these devices to move it to acquire the required data or control the speed of the motor. This paper deals with the study of the performance such BLDC motor employed in medical analyzer. The BLDC motor transfer function model is obtained from the motor parameters and analyzed with various soft computing algorithms, to understand which algorithm gives effective performance metrics
A novel measurement method for egg quality identification
In food industries, the usage of eggs in different products plays a very important role.The quality of eggs consists of various aspects of quality, each of which can be related to the quality of interior eggs or the quality of external eggs. Chitin's crisp egg-shell does not bear the collision and extrusion, and is very easy to damage. The external microorganism will reach the shell easily through the crack if the egg-shell has been split, so the decaying of the egg is accelerated or the consistency is decreased. The parameters such as color, thickness, shell strength, eggshell crack, bloodspots, porosity, air cell depth, shell integrity and freshness can also be used to detect the contaminated egg. But the weight loss and change in temperature gives us the variation in quality of the egg gradually and accurately. A simple method is proposed in which the key parameters like weight and temperature is measured using suitable sensor. The analog output from the sensor is fed to the Arduino board as an input signal for further processing. Based on the measured parameters value the quality of the egg and its expiring day will be displayed for consumer
Buoys for marine weather data monitoring and LoRaWAN communication
Climate change not only affects the environment directly but also challenges the existence of human civilization. Changes observed in the marine environment indicate the planet's health. Continuous ocean observations (ambient conditions, water quality, aquatic life, and disaster management) are crucial for checking and balancing climate change. This research aims to design three prototype smart moored buoys suitable for environmental monitoring. During the project, biconical buoys with a diameter of 30 cm and a height of 80 cm were fabricated. The buoys were fitted with temperature, salinity, and pH sensors to monitor and gather meteorological data. The collected data is transmitted to the cloud environment through a wireless communication device which is installed in all buoys through a LoRaWAN gateway, where it is stored and retrieved for analysis. The energy requirement of these buoys for driving the sensor network and data transmission are taken care by harvesting the solar energy through photovoltaic panels and the secondary energy storage device housed in the buoy. These buoys are installed along the coast in the municipality of Villasimius, Sardinia, Italy. These buoys have been placed within the marine protected area of Capo Carbonara, Sardinia, Italy, at a suitable distance from the communication gateway
Electrochemical Devices | Electrochemical Sensors and Actuators
Electrochemical sensors and actuators are the key to the evolution of analysis, automation, and testing. The recent lunar mission of the Indian Space Research Organization is an example of this, as electrochemical sensors are capable of analyzing the environment in numerous ways, including the biochemical and energy storage parameters, which are the key factors that are being examined in extraterrestrial expeditions that are going to be the focus of the scientific community in the near future. This chapter aims to enhance the evolution of electrochemical sensors and actuators by presenting the process involved in electrochemical sensing and actuation along with a general classification, design procedures, and applications relating to it
Aggressively Scaled T-Gated GaN-on-Silicon RF Power HEMT Featuring Step Graded SRL-AlGaN Buffer for Next Generation Broad Band Power Amplifiers
GaN HEMT has gained much interest recently because of its widespread uses, which range from high voltage systems used in power electronic devices to RF power amplifiers. The industry is currently focusing on developing GaN HEMT on Silicon-substrate in order to lower costs and integrate GaN technology with Si-based components. In this work, the RF power performance of T-gate with novel step graded strain relief layered GaN[sbnd]HEMT analyzed on Si (Silicon) wafer by Silvaco simulation TCAD tool. The effect of gate length (LG), gate recess (GR), work function, gate-to-source (LGS) length scaling, and gate-to-drain (LGD) length scaling was studied. The GM (transconductance) observed maximum value in this work is 936.40 mS/mm, and the maximum drain current (ID) reached 1.96 A/mm for HEMT with LG= 40 nm. The cut-off frequency (fT) observed with the minimum LGS of 150 nm is 442.59 GHz. Decreasing the gate length resulted in higher transconductance, drain current, and cut-off frequency (fT), with no alteration in the threshold voltage. In addition, the results of LG scaling on GM & other capacitance parameters have been analysed, which prefer a best way for boosting DC & RF performances of GaN[sbnd]HEMTs. Reducing the LGS and LGD distances in this HEMT minimizes the channel length, allowing for faster carrier transport and increasing both the transconductance (GM) and drain current. This adjustment enhances current flow without altering the threshold voltage, as the gate control over the channel remains unaffected
Design and Modelling of a CSC Converter with a variable DC link voltage to drive a Brushless DC Motor Drive
Optimizing Solar Energy Harvesting: A Comparative Study of PV Panel Performance Through Mathematical Modeling and Real-Time Analysis in Variable Ambient Conditions
Amidst the global push for cleaner energy production, the role of solar power is gaining significant importance. Its cost-effectiveness, lack of emissions, adaptability to available space, and year-round availability make it a compelling choice for energy generation. Photovoltaic panels (PV), crucial for establishing a solar plant, must be efficient for practical energy production. With numerous solar PV panels manufacturers globally, the costs and performance can vary for a given power output. In such a scenario, ensuring their efficiency before installation is essential to enable effective and sustainable energy generation throughout the operation. Therefore, this article proposes to compare the solar PV panel's actual power production with its mathematical model. A MATLAB Simulink-based model is used to analyze the PV panel's performance and compare it with real-time measurements from the panel under local ambient conditions. This comparison will help to identify the best panels to meet the essential requirements. In detail, the PV panel parameters from the manufacturer datasheet are fed to the model so that it behaves as its real-time model (actual panel). The performance obtained from the mathematical model is compared with the experimental data collected over three days. On which the ambient temperatures ranged from 27.9°C to 34.6°C. The results showcased a difference in fill factor between the mathematical model and the experimental data of the actual panel is nearly 20 %
Symmetrical Fault Detection During Power Swing Based on dq-Wavelet Packet Entropy
Distance relay trips unnecessarily under power swing condition and it is considered as the significant circumstance for power system blackouts. To prevent the hazard of misoperation of distance relay, a scheme is essential so as to block circuit breaker tripping during power swing and to detect a fault during power swing condition. In Power system faults, unsymmetrical faults are unbalanced signals which have negative & zero sequence components, and these sequence components help to identify the faults during the power swing. Whereas, these components are absent during symmetrical fault since power swing and symmetrical fault are balanced phenomena. Symmetrical fault detection under power swing condition is a critical issue. Hence, Power system protection due to symmetrical fault during power swing is difficult. In this regard, a proposed scheme based on Direct axis - Quadrature axis transformation and Wavelet packet entropy to identify symmetrical faults occurring with power swing is proposed. The proposed technique is investigated for various power swing and fault conditions on two-machine system, distribution system with distributed generation and WSCC 9-bus system using Matlab software. This scheme provides better results irrespective of various fault locations, fault inception angle, and power swing frequencies. This scheme can also detect asymmetrical faults with high impedance during power swing
