Md. Rawshan Habib

Bio: Md. Rawshan Habib is an academic researcher from Ahsanullah University of Science and Technology. The author has contributed to research in topics: Fire protection & Controller (computing). The author has an hindex of 3, co-authored 5 publications receiving 22 citations.

A new protection system of linear generators used for converting oceanic wave energy into electricity

Abstract: Almost all of the linear generator used for oceanic wave energy conversion need a protection system against the natural disaster. This paper presents a new protection system for those linear generators for safe operation installed in the ocean. The protection system involves a complete standalone unit, a transmitter, and a receiver unit with a controller. The standalone unit placed in the ocean transmits a set of signals to a receiver situated at a suitable place. A display board is connected to the receiver from which the condition of the oceanic wave can be monitored. Another part of this protection system is the decision making unit which is connected to a motor through a driver. The motor is connected to a pulley with a rope which is further connected to the linear generator to be protected by pulling it in downward direction. Thus, the linear generator can be placed at a safe distance so that it can avoid natural adversity which often causes damages. A prototype is designed and fabricated which is also tested in a water reservoir. The experimental results exhibit excellent features of the proposed protection system.

Quick Fire Sensing Model and Extinguishing by Using an Arduino Based Fire Protection Device

Abstract: Fire protection is obvious for safety purposes in human life because mishandling of fire sources can be the cause of serious accidents. In this paper, an Arduino based automatic fire alarm provider with extinguishing device is proposed for fire protection. The thermal model of a house and explanation of the proposed system is presented where smoke detector and temperature sensor assist the flame sensor. The flame sensor generates electric signals and transmits via mobile phone to the corresponding person to get notified. Besides this, the signal also triggers the fire extinguishing system automatically to take quick action. Simulation results are obtained by using MATLAB software. An Arduino based prototype of the proposed device is built and tested by creating artificial smoke and flame. Test results prove that, the proposed fire protection system responses quickly and effectively.

PID Controller Based Automatic Solar PowerDriven Grass Cutting Machine

Abstract: In this paper, an automatic grass cutting machine is designed and implemented that uses solar energy as its primary source. The proposed grass cutter is lightweight and portable. It has two major parts: one is a motor-powered base and the other is cutting blades with motor. Its default mood is automatic although it can be operated manually if necessary. It can detect the position of grass by a color sensor through specified band of green color signal and is able to move automatically towards the grass by its motorized controlled base. As soon as the motor driven cutting blade comes close to the grass, it starts cutting and continue until all grasses around it is being cut down. The prototype of the grass cutter is tested experimentally. The test result proves that, the grass cutter successfully performs its operation. Two degree-of-freedom PID controllers are proposed to control the motor speed of the prototype.

Behavior of the Proton Exchange Membrane Fuel Cell Around Critical Fuel and Air Supply Pressure

Abstract: The performance of a fuel cell depends on fuel and air supply within a range of atmospheric pressure. This paper presents the mathematical model and performance of the proton exchange membrane (PEM) fuel cell under the condition of critical fuel supply and air pressure. At first, air supply pressure is changed under the condition of constant fuel supply. Secondly, the pressure of fuel supply is changed under the condition of constant air pressure. The effect on air consumption, fuel supply, and overall efficiency of the fuel cell are observed under these conditions. Simulations are carried out for a specific model of PEM fuel cell named Nedstack PS6 which is rated at 6 kW. The results show that, variation of both air pressure and fuel pressure have a noticeable effect on the system.

An Arduino Based Robot for Pipe Surveillance and Rescue Operation

Abstract: Pipe surveillance and rescue robot is a type of automation that is used for inspection and rescue. In this paper, an Arduino based robot is designed and implemented for mainly pipe inspection and rescue operation. It can be used for cleaning and welding, as well. A prototype is built which can move through a pipe with a diameter of 8-20 inches. The architecture of this robot is simple and effective. It has a cylindrical body with adjustable legs and changeable shaft. As a result, it can easily pass through both straight and curved pipes. According to the needs, the shaft of the robot can be changed. By using a motor, a mechanical shaft is also designed which can grab things during rescue operation. The robot can carry a weight up to 25 kg. The robot is user-controlled. It has an interface with the user through a camera. It is a wire-based device. Therefore, energy is supplied to the robot from outside.

Proton Exchange Membrane Hydrogen Fuel Cell as the Grid Connected Power Generator

Abstract: In this paper, a proton exchange membrane fuel cell (PEMFC) is implemented as a grid-connected electrical generator that uses hydrogen gas as fuel and air as an oxidant to produce electricity through electrochemical reactions. Analysis demonstrated that the performance of the PEMFC greatly depends on the rate of fuel supply and air supply pressure. Critical fuel and air supply pressures of the PEMFC are analysed to test its feasibility for the grid connection. Air and fuel supply pressures are varied to observe the effects on the PEMFC characteristics, efficiency, fuel supply, and air consumption over time. The PEMFC model is then implemented into an electrical power system with the aid of power electronics applications. Detailed mathematical modelling of the PEMFC is discussed with justification. The PEMFC functions as an electrical generator that is connected to the local grid through a power converter and a transformer. Modulation of the converter is controlled by means of a proportional-integral controller. The two-axis control methodology is applied to the current control of the system. The output voltage waveform and control actions of the controller on the current and frequency of the proposed system are plotted as well. Simulation results show that the PEMFC performs efficiently under certain air and fuel pressures, and it can effectively supply electrical power to the grid.

Systematic Survey on Smart Home Safety and Security Systems Using the Arduino Platform

Abstract: Smart home safety and security systems have gained much importance over the last few years owing to their notable impact in reducing and preventing losses in resources and human life caused by unwanted situations that could occur while homeowners are far away from their homes. To date, there is a lack of an in-depth literature analysis that could help researchers and developers better understand these systems and their applications in different contexts. It is therefore crucial that research evidence published in this area is presented. In this study, 63 research papers that examined smart home safety and security systems using the Arduino platform from popular literature databases were thoroughly surveyed to extract useful data. Then, the extracted data were analyzed to answer many research questions concerning state-of-the-art applications of these systems, their architectures, their enabling technologies, their components, etc. In addition, several challenges that these systems currently face and how future research could enable better implementation and use of these systems were discussed.

Self-Tuning Neural Network PID With Dynamic Response Control

Abstract: PID controllers are widely used and adaptable to various types of systems. However, for the response to be adequate under different conditions, the PID gains must be adjusted. The tuning is made according to the difference between the reference value and the real value (error). This work presents a self-adjusting PID controller based on a backpropagation artificial neural network. The network calculates the appropriate gains according to the desired output, that is, the dynamic response desired which is composed of the transient part and the stationary part of the step response of a system. The contribution of the work is that in addition to using the error for network training, the maximum desired values of overshoots, settling times, and stationary errors were used as input data for the network. An offline training database was created using genetic algorithms to obtain the dynamic response data associated with PID gains. The genetic algorithm allows getting data in different operating ranges and allows using only stable gains combinations. The database was used for training. Subsequently, the neural network estimates an appropriate gain combination, adapting to the error and the desired response. The method performance is evaluated by controlling the speed of a direct current motor. The results indicate an average error of 4% for the database between the requested and system response. On the other hand, the gains estimated by the network in the test dataset (1544 combinations) did not cause instability and complying with the expected dynamic response in 86% of the dataset.

Arduino Based Smart Home Warning System

Abstract: The need for smart home warning systems is in high demand nowadays as they are used to warn owners about undesired situations that could happen while they are far away from their homes. This paper aims to present the design and implementation of an Arduino based smart home warning system. In this system, Arduino Uno microcontroller has been used with several compatible sensors (DHT22, MQ2, and camera), actuators (buzzer and relays with attached water valve, air fan, and light bulb), and GSM as a wireless communication medium to enable the interaction between users and the proposed system. The experimental results of using the proposed system show that a variety of undesired events can be detected efficiently. Fire, gas leakage, and housebreaking situations can be detected and users get notified about them via SMS messages, emails with attached pictures, etc. Besides, some proper actions can also be performed by the proposed system including stopping fire via water and decreasing gas concentration via air ventilation. The proposed system is very useful to prevent losses in resources and human life caused by unwanted events.

Design and Implementation of Solar Power Wireless Battery Charger

Abstract: This paper deals with wireless power transmission technology. A battery of an electronic device will be charged wirelessly. The solar panel converts the sun light into electrical energy. Power from a solar panel is sent through a transmitter circuit and received by a receiver circuit wirelessly based on Faraday’s law of induction. As magnetic resonance coupling is more efficient and useful than magnetic inductive coupling, in this paper, magnetic resonant coupling is used. There are a transmitter and receiver coil. The transmitter coil is driven at the same frequency of the resonant frequency of the receiver coil. For those reasons, the LC tuned circuit has been built to maintain the same frequency. As power is transmitted wirelessly, some power is wasted. As a result, efficiency is decreased to only 11 %. After all, it will be a future charging solution in the modern world. With the help of wireless battery charger technology, power can be supplied to the electric cars, drones, hospital’s equipment, and smartphones. This device also helps to reduce the necessity of using wires.