Automatic Harvested Crop Protector from Rain

2020 ◽  
Vol 17 (11) ◽  
pp. 4949-4951
Author(s):  
K. Ashokkumar ◽  
V. S. Mynavathi ◽  
C. H. Pavan Kumar Reddy ◽  
C. H. Sasidhar Prasad
Keyword(s):  
Mobile Phone ◽  
Dc Motor ◽  
Second Grade ◽  
Indian Economy ◽  
Dc Motors ◽  
Arduino Uno ◽  
Absolute Structure ◽  
Offer Recommendation

The fundamental topic of this task which is displayed in the paper is that to keep the yields from the overwhelming precipitation. The farmer is the foundation of Indian economy. They drudge and accomplishes difficult work to deliver the yield by enduring a ton toward the end for drying the harvest because of unforeseen downpours. These components like startling downpours harm the harvest when it is dried before selling, which will totally crush the yield or make the yield second grade. To stay away from such conditions “HARVESTED CROP PROTECTOR FROM RAIN” is to be created. At the present time, propose a system where the storms are recognized therefore to guarantee the gather by wrapping housetop top on the yield by using DC motors, Rain sensor and Arduino uno load up. If it pouring the sensor will distinguishes and offers intimation to the Arduino. So, when the sensor is ‘ON,’ it will offer recommendation to the controller, GSM and it will show to the DC motor and it will subsequently open the housetop. At the present time, housetop is open thusly when the sensor is ‘ON.’ This absolute structure can be managed truly. If there is any issue with opening the housetop thusly, it is blend thought in with controlling movement done through Arduino. GSM is reporting the conditions in the field through SMS to the mobile phone.

Alternate Trajectory Determination Using Multimode Automated Robotic Vehicle with Line Following and Object Following Mode

2018 ◽  
Vol 8 (3) ◽  
pp. 46
Author(s):  
Varun Kumar ◽  
Lakshya Gaur ◽  
Arvind Rehalia
Keyword(s):  
Ultrasonic Sensor ◽  
Robotic Assembly ◽  
Voltage Regulator ◽  
Automated Vehicle ◽  
Dc Motors ◽  
Arduino Uno ◽  
Robotic Vehicle ◽  
Line Following ◽  
Selection Of ◽  
Trajectory Determination

In this paper the authors have explained the development of robotic vehicle prepared by them, which operates autonomously and is not controlled by the users, except for selection of modes. The different modes of the automated vehicle are line following, object following and object avoidance with alternate trajectory determination. The complete robotic assembly is mounted on a chassis comprising of Arduino Uno, Servo motors, HC-SRO4 (Ultrasonic sensor), DC motors (Geared), L293D Motor Driver, IR proximity sensors, Voltage Regulator along with castor wheel and two normal wheels.

Open Loop Speed Control Of Brushless DC Motor Using Low Cost Arduino UNO Processor

2016 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
Potnuru Devendra ◽  
Mary K. Alice ◽  
Ch. Sai Babu ◽  
◽  
◽  
...  
Keyword(s):  
Low Cost ◽  
Speed Control ◽  
Dc Motor ◽  
Open Loop ◽  
Brushless Dc Motor ◽  
Brushless Dc ◽  
Arduino Uno

Straight-Move Robot Control System with LabView-Based Proportional Integral Derivative (PID) Control

2019 ◽  
Vol 3 (2) ◽  
pp. 13-24
Author(s):  
Andrean George W
Keyword(s):  
Pid Control ◽  
Rotational Speed ◽  
Pid Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Labview Software ◽  
Dc Motors ◽  
Dc Motor Control ◽  
Process System ◽  
Interface Devices

Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.

scholarly journals PENGATURAN KECEPATAN MOTOR DC SERI BERBASIS ARDUINO UNO

2020 ◽  
Vol 4 (2) ◽  
pp. 8-11
Author(s):  
Diarsyah Amarullah ◽  
Mochammad Djaohar ◽  
Massus Subekti
Keyword(s):  
Duty Cycle ◽  
Descriptive Analysis ◽  
Dc Motor ◽  
Boost Converter ◽  
Motor Speed ◽  
Research Subjects ◽  
Laboratory Observation ◽  
Speed Regulation ◽  
Arduino Uno ◽  
Data Collection Technique

Abstract The purpose of this research is to design of the speed regulation of an arduino uno based seri DC motor using a DC-DC converter (Boost Converter). This research uses research and development method. The research subjects used are seri DC motor. Data analysis technique used is descriptive analysis with data collection technique that is laboratory observation using test instrument. The conclusion of this research is using a DC-DC converter or boost converter can move seri DC motor loads inertia to which has a maximum voltage of 24 V from the start supply to the boost converter which is 12 V so that the voltage increases twice. Other than that in terms of setting the DC motor speed is influenced by the amount of duty cycle controlled via by arduino uno microcontroller. ABSTRAK Tujuan penelitian ini adalah untuk membuat rancang bangun pengaturan kecepatan motor DC seri berbasis arduino uno dengan menggunakan DC-DC converter (Boost Converter). Penelitian ini menggunakan metode riset dan pengembangan. Subyek penelitian yang digunakan yaitu motor DC seri. Teknik analisis data yang digunakan yaitu analisis deskriptif dengan teknik pengumpulan data yaitu observasi laboratorium menggunakan instrumen pengujian. Kesimpulan dari penelitian ini adalah dengan menggunakan DC-DC converter atau boost converter bisa menggerakan beban inersia pada motor DC seri yang memiliki tegangan maximal 24 V, dari supply awal ke boost converter yaitu 12 V sehingga tegangan meningkat dua kali. Selain itu dalam hal pengaturan kecepatan motor DC dipengaruhi besaran duty cycle yang dikontrol melalui mikrokontroler arduino uno.

scholarly journals Calibration of a Nonlinear DC Motor under Uncertainty Using Nonlinear Optimization Techniques

2021 ◽  
Vol 65 (1) ◽  
pp. 42-52
Author(s):  
Hamed Keshmiri Neghab ◽  
Hamid Keshmiri Neghab
Keyword(s):  
Nonlinear Optimization ◽  
Model Calibration ◽  
Optimization Methods ◽  
Dc Motor ◽  
Optimization Techniques ◽  
Unknown Parameters ◽  
Labview Software ◽  
Dc Motors ◽  
Industrial Software ◽  
Nonlinear Optimization Methods

The use of DC motors is increasingly high and it has more parameters which should be normalized. Now the calibration of each parameters is important for each motor, because it affects in its performance and accuracy. A lot of researches are investigated in this area. In this paper demonstrated how to estimate the parameters of a Nonlinear DC Motor using different Nonlinear Optimization techniques of fitting parameters to model, that called model calibration. First, three methods for calibration of a DC motor are defined, then unknown parameters of the mathematical model with the nonlinear optimization techniques for the fitting routines and model calibration process, are identified. In addition, three optimization techniques such as Levenberg-Marquardt, Constrained Nonlinear Optimization and Gauss-Newton, are compared. The goal of this paper is to estimate nonlinear parameters of a DC motor under uncertainty with nonlinear optimization methods by using LabVIEW software as an industrial software and compare the nonlinear optimization methods based on position, velocity and current. Finally, results are illustrated and comparison between these methods based on the results are made.

scholarly journals Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation

2018 ◽  
Vol 9 (3) ◽  
pp. 696 ◽  
Author(s):  
Byamakesh Nayak ◽  
Sangeeta Sahu ◽  
Tanmoy Roy Choudhury
Keyword(s):  
Experimental Data ◽  
Transfer Function ◽  
Adaptive Method ◽  
Dc Motor ◽  
Model Parameters ◽  
Current Response ◽  
Adaptive Model ◽  
Unknown Parameters ◽  
Dc Motors ◽  
Estimated Parameters

<p>This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.</p>

scholarly journals Android Based Voice Activated Wheel Chair for Disabled

2020 ◽  
Vol 9 (3) ◽  
pp. 3508-3509
Keyword(s):  
Speech Recognition ◽  
Smart Phone ◽  
Dc Motor ◽  
Older Individuals ◽  
Recognition Model ◽  
Human Voice ◽  
Dc Motors ◽  
Wheel Chair ◽  
The Voice

The aim of the project is to develop a wheel chair which can be controlled by voice of the person. It is based on the speech recognition model. The project is focused on controlling the wheel chair by human voice. The system is intended to control a wheel seat by utilizing the voice of individual. The structure of this framework will be particularly valuable to the crippled individual and furthermore to the older individuals. It is a booming technology which interfaces human with machine. Smart phone device is the interface. This will allow the challenging people to move freely without the assistant of others. They will get a moral support to live independently .The hardware used are Arduino kit, Microcontroller, Wheelchair and DC motors. DC motor helps for the movement of wheel chair. Ultra Sonic Sensor senses the obstacles between wheelchair and its way.

scholarly journals DC Motor Speed Control Using Mamdani Fuzzy Logic Based on Microcontroller

Jurnal Teknik ◽  
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Sumardi Sadi
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Fuzzy Controller ◽  
Dc Motor ◽  
Motor Speed ◽  
Logic Control ◽  
Control Command ◽  
Arduino Uno

DC motors are included in the category of motor types that are most widely used both in industrial environments, household appliances to children's toys. The development of control technology has also made many advances from conventional control to automatic control to intelligent control. Fuzzy logic is used as a control system, because this control process is relatively easy and flexible to design without involving complex mathematical models of the system to be controlled. The purpose of this research is to study and apply the fuzzy mamdani logic method to the Arduino uno microcontroller, to control the speed of a DC motor and to control the speed of the fan. The research method used is an experimental method. Global testing is divided into three, namely sensor testing, Pulse Width Modulation (PWM) testing and Mamdani fuzzy logic control testing. The fuzzy controller output is a control command given to the DC motor. In this DC motor control system using the Mamdani method and the control system is designed using two inputs in the form of Error and Delta Error. The two inputs will be processed by the fuzzy logic controller (FLC) to get the output value in the form of a PWM signal to control the DC motor. The results of this study indicate that the fuzzy logic control system with the Arduino uno microcontroller can control the rotational speed of the DC motor as desired.

scholarly journals Android-based Prototype of Automated Cloth Hanger Using Arduino

2019 ◽  
Vol 1 (2) ◽  
pp. 51-58
Author(s):  
Sanji Muhammad Sidik ◽  
Hermawaty Hermawaty
Keyword(s):  
Data Processing ◽  
Dc Motor ◽  
Prototype Model ◽  
Test Results ◽  
Important Work ◽  
Water Sensor ◽  
Data Processing Center ◽  
Arduino Uno ◽  
Weather Changes

Clothesline that is used in the community is still in the form of a manual so that the community must raise it directly. People who have more interests or who work may not have to raise clothes directly so they have to leave their more important work. When traveling or there are other jobs the community is still confused how to pick up clothesline with changing weather. From these problems, a prototype model of automatic clothesline was built using Android-based Arduino, this is to simplify and shorten the time in lifting clothesline or drying clothes when our weather changes. Having designed an automatic clothesline using Android-based Arduino. In this study, the Arduino UNO microcontroller functions as a data processing center obtained from the LDR sensor to detect light, uses a water sensor to detect rainwater and uses a DC motor to move the clothesline out / in, and uses the Bluetooth HC-05 module to move the clothesline with Android. The test results show that this tool works well, when the device is turned on the sensor will check the weather outside whether the weather is sunny or rainy. When the weather is sunny or hot outside, the clothesline will automatically come out and if the weather outside is raining, the clothesline will automatically go inside. When the sensor does not function or has trouble the automatic clothesline can be controlled via a smartphone that is connected to the Bluetooth HC-05 module.

scholarly journals An IoT based Low-cost Weather Monitoring System for Smart Farming

2021 ◽  
Author(s):  
L.P.S.S.K. Dayananda ◽  
A. Narmilan ◽  
P. Pirapuraj
Keyword(s):  
Liquid Crystal ◽  
Mobile Phone ◽  
Real Time ◽  
Monitoring System ◽  
Liquid Crystal Display ◽  
Low Cost ◽  
Weather Conditions ◽  
Weather Data ◽  
The Internet ◽  
Arduino Uno

Background: Weather monitoring is an important aspect of crop cultivation for reducing economic loss while increasing productivity. Weather is the combination of current meteorological components, such as temperature, wind direction and speed, amount and kind of precipitation, sunshine hours and so on. The weather defines a time span ranging from a few hours to several days. The periodic or continuous surveillance or the analysis of the status of the atmosphere and the climate, including parameters such as temperature, moisture, wind velocity and barometric pressure, is known as weather monitoring. Because of the increased usage of the internet, weather monitoring has been upgraded to smart weather monitoring. The Internet of Things (IoT) is one of the new technology that can help with many precision farming operations. Smart weather monitoring is one of the precision agriculture technologies that use sensors to monitor correct weather. The main objective of the research is to design a smart weather monitoring and real-time alert system to overcome the issue of monitoring weather conditions in agricultural farms in order for farmers to make better decisions. Methods: Different sensors were used in this study to detect temperature and humidity, pressure, rain, light intensity, CO2 level, wind speed and direction in an agricultural farm and real time clock sensor was used to measured real time weather data. The major component of this system was an Arduino Uno microcontroller and the system ran according to a program written in the Arduino Uno software. Result: This is a low-cost smart weather monitoring system. This system’s output unit were a liquid crystal display and a GSM900A module. The weather data was displayed on a liquid crystal display and the GSM900A module was used to send the data to a mobile phone. This smart weather station was used to monitor real-time weather conditions while sending weather information to the farmer’s mobile phone, allowing him to make better decisions to increase yield.

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