http://ieeexplore.ieee.org/iel5/5610941/5624686/05624745.pdf

Power electronics

With population growth, the demand for vehicles has increased tremendously, which has created an alarming situation in terms of traffic hazards and road accidents. The road accidents percentage is growing exponentially and so are the fatalities caused due to accidents. However, the primary cause of the increased rate of fatalities is due to the delay in emergency services. Many lives could be saved with efficient rescue services. The delay happens due to traffic congestion or unstable communication to the medical units. The implementation of automatic road accident detection systems to provide timely aid is crucial. Many solutions have been proposed in the literature for automatic accident detection. The techniques include crash prediction using smartphones, vehicular ad-hoc networks, GPS/GSM based systems, and various machine learning techniques. With such high rates of deaths associated with road accidents, road safety is the most critical sector that demands significant exploration. In this paper, we present a critical analysis of various existing methodologies used for predicting and preventing road accidents, highlighting their strengths, limitations, and challenges that need to be addressed to ensure road safety and save valuable lives.

/pdf/a-comprehensive-study-on-iot-based-accident-detection-27oar8ioz6.pdf

A Comprehensive Study on IoT Based Accident Detection Systems for Smart Vehicles

Load converter is the second stage of multiconverter electronic power system. Under tight control, the converter acts as constant power load (CPL). The CPL has innate incremental negative resistance properties (INR). The INR influence the power quality of system. In this paper, the proposed fuzzy logic controller aims to regulate the voltage of dc-dc buck converter which is feeding the CPL and the resistive load. The fuzzy logic controller is design to ensure the stabilization of buck converter under change the constant power load and tight voltage regulation after transient response by choosing the proper duty cycle for each cycle. The fuzzy logic controller is validated by simulation in MATLAB/Simulink.

Fuzzy logic controller for Dc-Dc buck converter with constant power load

As the power interface between the energy storage devices (ESD) and the dc link of DC Micro-grids, dc-dc converters, which have been regarded as the heart of many critical applications such as electrical vehicles, data center, and aerospace power systems, have gained more and more attentions recently. The fault diagnosis and tolerant control in dc-dc converters become essential to ensure a reliable and robust power system especially for critical applicants, where a sudden stoppage, loss of functionality, or degradation of performance might result in a catastrophe. This paper focuses on different types of faults in dc-dc converters by analyzing main failure spots and mechanism, covering catastrophic fault and parametric fault from component to system. A comprehensive review of the up-to-date fault mode analysis, fault diagnosis signals and algorithms, and fault tolerant control in various dc-dc topologies has been presented. This research will provide a useful design guideline for the reliability improvement in all forms of dc-dc converters.

/pdf/a-comprehensive-review-of-fault-diagnosis-and-tolerant-4d1boc0hnj.pdf

A Comprehensive Review of Fault Diagnosis and Tolerant Control in DC-DC Converters for DC Microgrids

DC voltage is converted from one voltage level to another using a DC to DC converter. Applications of DC to DC converter includes self regulating power supplies, current sources to drive solid state lighting applications, advanced datacom and telecom systems, appliance control, DC motor drives, aircraft, etc. But controlling of this converter is vital task in conversion of power. Focus of this paper is to model a controlling system for buck converter which controls output of buck converter and keeps it constant instead of changing circuit parameters, load and input supply of the buck converter. The pulse width modulation (PWM), voltage mode control, PWM linear mode control with proportional controller (P), proportional integral controller (PI), and proportional integral derivative controller (PID) are some of the controlling methods fr used for dc-dc converters. But the performance of these methods are not satisfactory when there are large variations in parameters or load. This is why nonlinear controllers are used for controlling DC to DC converters. The nonlinear controller has the advantages that it reacts faster to a transient condition. Thus the Controlling method used to control buck converter in this paper is fuzzy control logic which is simulated in MATLAB/SIMULINK using fuzzy logic toolbox. The proposed strategy is then implemented on buck converter hardware setup such that for an input of 30 volts we get the desired output for variable references. Thus using Fuzzy controlling method less overshoots are obtained in the output of buck converter. This control system increases converter efficiency and power efficiency.

Design and Hardware Implementation of Closed Loop Buck Converter Using Fuzzy Logic Controller

Road accidents are a human tragedy. They involve high human suffering and monetary costs in terms of untimely deaths, injuries and loss of potential income. There are so many new techniques such as Antilock Breaking System (ABS), Adaptive Cruise Control (ACC), Anti Collision System (ACS) to avoid accidents and in spite of all this, such large number of accidents takes place. Hence this paper presents a system which gives an idea about what can be done to provide medical help and other facilities after accident as soon as possible. Accident can be detected using flex sensor and accelerometer, while location of accident will be informed to desired persons such as nearest hospital, police and owner of vehicle through sms sent using GSM modem containing co-ordinates obtained from GPS along with time of accident and vehicle number. Camera located inside vehicle will transmit real time video to see current situation of passengers inside vehicle. Thus this paper emphasizes on post-accident system for detecting and informing about it. Simulation result on hyper terminal is also presented in this paper.

Intelligent system for vehicular accident detection and notification

Impact assessment of outcome based approach in engineering education in India

This paper presents performance analysis and simulation of maximum constant boost-control with third harmonic injection methods for the Z-source inverter, which can obtain maximum voltage boost for a fixed modulation index. The Z-source inverter is a recently invented a new power conversion concept mainly developed for fuel cell vehicular applications. The Z-source inverter is very advantageous over traditional inverters and it can be employed in all ac and dc power conversion applications. All traditional PWM methods can be used to control Z-source inverter. Maximum constant boost control methods eliminates the low-frequency ripples in the inductor current and capacitor voltage by maintaining the shoot-through duty cycle constant, and minimize the voltage stresses of switching devices at the same time. The Maximum boost control method is suitable for relatively high output frequency only, but in the maximum constant boost control method the Z-source network design is independent of the output frequency and determined only by the switching frequency. In this paper Z-source inverter parameters such as boost factor, output dc link voltage, capacitor voltage, output ac voltage, voltage gain etc. are determined for maximum constant boost control method for a fixed modulation index and these results are verified by simulation and experiments.

/pdf/performance-analysis-of-z-source-inverter-fed-induction-4bnbl1pmpk.pdf

Performance Analysis of Z-source Inverter Fed Induction Motor Drive

DC-DC converter plays important role in power conversion. They are used in many applications like solar energy conversion system, computer power supplies, switching mode regulators etc. Main issue in buck converter is that when load and supply voltage changes, output of buck converter changes, that reduces converter efficiency and power efficiency. Control action of buck converter involves maintaining constant output voltage in presence of change in load and change in supply voltage conditions. In this paper design and simulation using MATLAB/SIMULINK of buck converter output voltage using fuzzy logic control is presented. Simulation results are presented to prove that the steady state deviations of fuzzy controller are minimum, which is major advantage of fuzzy logic controller.

Adaptive fuzzy logic controller for buck converter

Controlling of DC-DC converter is vital task in power conversion. DC-DC converters are used in many applications like solar charger, computer power supplies, switching mode regulators, aircrafts etc. Focus of this paper is to model a controlling system for buck converter which controls output of buck converter constant instead of changing load and input supply to buck converter. Controlling method used to control buck converter is fuzzy controlling. In this paper a adaptive fuzzy controller is used for buck converter which is simulated in MATLAB/SIMULINK using fuzzy logic. Fuzzy controlling gives less overshoots in output of buck converter. This control system increases converter efficiency and power efficiency. Keywords—buck converter, fuzzy control, MATLAB (SIMULINK).

Satyawan R. Jagtap

Papers

Intelligent system for vehicular accident detection and notification

Impact assessment of outcome based approach in engineering education in India

Performance Analysis of Z-source Inverter Fed Induction Motor Drive

Adaptive fuzzy logic controller for buck converter

Design of Fuzzy Based Controlling System for Buck Converter