scholarly journals Battery Power Control and Monitoring System with Internet of Things Technology

2021 ◽  
Vol 3 (1) ◽  
pp. 07-12
Author(s):  
Slamet Winardi ◽  
Didik Dwi Suharso ◽  
Hendra Purnomo ◽  
Arief Budijanto
Keyword(s):  
Electrical Power ◽  
Smart Phone ◽  
Dc Motor ◽  
Control Panel ◽  
Dc Motors ◽  
Loading System ◽  
Main Component ◽  
Control And Monitoring System ◽  
And Control ◽  
Internet Of Things Technology

Along with the development of battery/ACCU technology, the ACCU charging and loading system has also developed manually or automatically. In this paper, the results of research on the manufacture of tools that function to monitor and control the charging and loading of electrical power will be explained from batteries that are burdened with lights and DC motors through a control panel or android smart phone with IoT technology. This tool is designed to monitor 2 ACCUs, namely ACCU1 and ACCU2. ACCU1 is loaded with lamp and parallel with DC motor load while ACCU2 is loaded with DC motor and parallel with lamp load. If ACCU1 and ACCU2 are full, ACCU1 is loaded with only one lamp and ACCU2 is only loaded with DC motor. For example, ACCU1's electrical power is still within the limits that can be loaded with lights and DC motors while ACCU2 can't be loaded because electric power is not capable of being loaded with DC motors, the DC motor's load will be transferred to ACCU1. So that ACCU1 is loaded with DC lamps and motors and ACCU2 is charging the electricity, as well as for the opposite condition. The design of this tool uses the main component of the ESP32 microcontroller, where this component has been integrated with the wifi module and other supporting circuit modules, namely the current sensor circuit, voltage sensor and OLED display. The software design consists of a program code designer for hardware using C++ and an android smart phone application design using MIT App Inventor. The results of this study are in accordance with the design specifications, namely the device can be used to control charging and loading as well as monitor ACCU1 and ACCU2 electrical power on OLED screens and on Android smart phones screens

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.

Direction and Speed Control of DC Motor Using Raspberry PI and Python-Based GUI

2021 ◽  
Vol 5 (2) ◽  
pp. 74-87
Author(s):  
Anup Kumar Kolya ◽  
Debasish Mondal ◽  
Alokesh Ghosh ◽  
Subhashree Basu
Keyword(s):  
Smart Phone ◽  
Dc Motor ◽  
Raspberry Pi ◽  
Android Application ◽  
Android Apps ◽  
Design And Implementation ◽  
Java Platform ◽  
Developer Tools ◽  
User Friendly ◽  
And Control

This paper presents the design and implementation of control strategy for both the speed and direction of a direct current (DC) motor using Android-based application in smart phone. The Raspberry Pi 3 with a motor driver controller has been used to implement the control action via Python-based user-defined programming. The Android application has been developed using Android Developer Tools (ADT) in Java platform. The Android apps work like a client and communicates with Raspberry Pi through wi-fi connectivity. Finally, a small graphical user interface (GUI) has been created in Python in order to interface and control the motor with buttons in GUI. The advantages of GUI are that it is attractive, user friendly, and even a layman can work with the application developed in GUI.

Mechatronics Implementation of Inverse Dynamics-Based Controller for an Off-Road UGV

2015 ◽  
Author(s):  
Mostafa Salama ◽  
Vladimir V. Vantsevich
Keyword(s):  
Power Distribution ◽  
Control Algorithm ◽  
Inverse Dynamics ◽  
Dc Motor ◽  
Unmanned Ground Vehicle ◽  
Power Losses ◽  
Wheel Load ◽  
Ground Vehicle ◽  
Dc Motors ◽  
And Control

This paper presents a project developed at the University of Alabama at Birmingham (UAB) aimed to design, implement, and test an off-road Unmanned Ground Vehicle (UGV) with individually controlled four drive wheels that operate in stochastic terrain conditions. An all-wheel drive off-road UGV equipped with individual electric dc motors for each wheel offers tremendous potential to control the torque delivered to each individual wheel in order to maximize UGV slip efficiency by minimizing slip power losses. As previous studies showed, this can be achieved by maintaining all drive wheels slippages the same. Utilizing this approach, an analytical method to control angular velocities of all wheels was developed to provide the same slippages of the four wheels. This model-based method was implemented in an inverse dynamics-based control algorithm of the UGV to overcome stochastic terrain conditions and minimize wheel slip power losses and maintain a given velocity profile. In this paper, mechanical and electrical components and control algorithm of the UGV are described in order to achieve the objective. Optical encoders built-in each dc motor are used to measure the actual angular velocity of each wheel. A fifth wheel rotary encoder sensor is attached to the chassis to measure the distance travel and estimate the longitudinal velocity of the UGV. In addition, the UGV is equipped with four electric current sensors to measure the current draw from each dc motor at various load conditions. Four motor drivers are used to control the dc motors using National Instruments single-board RIO controller. Moreover, power system diagrams and controller pinout connections are presented in detail and thus explain how all these components are integrated in a mechatronic system. The inverse dynamics control algorithm is implemented in real-time to control each dc motors individually. The integrated mechatronics system is distinguished by its robustness to stochastic external disturbances as shown in the previous papers. It also shows a promising adaptability to disturbances in wheel load torques and changes in stochastic terrain properties. The proposed approach, modeling and hardware implementation opens up a new way to the optimization and control of both unmanned ground vehicle dynamics and vehicle energy efficiency by optimizing and controlling individual power distribution to the drive wheels.

scholarly journals A REVIEW OF EXPERIMENTAL STUDY AND ANALYSIS OF SPEED CONTROL OF PERMANENT MAGNET AND WOUNDED TYPE DC MOTOR

2016 ◽  
Vol 4 (9) ◽  
pp. 151-156
Author(s):  
Tanu Mahobia ◽  
A. K. Kori
Keyword(s):  
Permanent Magnet ◽  
Current Flow ◽  
Electrical Power ◽  
Dc Motor ◽  
Electrical Machines ◽  
Dc Motors ◽  
Force And Motion ◽  
Straight Line ◽  
Internal Mechanism ◽  
Permanent Magnet Dc Motors

The permanent magnet DC motors are used in various applications as heater, wiper and personal computer. A DC motor is any of a class of electrical machines that converts direct current electrical power into mechanical power. The most common types rely on the forces produced by magnetic fields. Nearly all types of DC motors have some internal mechanism, either electromechanical or electronic; to periodically change the direction of current flow in part of the motor. Most types produce rotary motion; a linear motor directly produces force and motion in a straight line.

scholarly journals Sistem Akuaponik untuk Peternakan Lele dan Tanaman Kangkung Hidroponik Berbasis IoT dan Sistem Inferensi Fuzzy

2021 ◽  
Vol 8 (1) ◽  
pp. 157
Author(s):  
Fachrul Rozie ◽  
Iwan Syarif ◽  
Muhammad Udin Harun Al Rasyid ◽  
Edi Satriyanto
Keyword(s):  
Water Quality ◽  
Internet Of Things ◽  
Fuzzy Inference System ◽  
Fuzzy Inference ◽  
Smart Phone ◽  
Fish Farming ◽  
Water Circulation ◽  
Inference System ◽  
And Control ◽  
Internet Of Things Technology

<p class="Abstrak">Akuaponik adalah penggabungan sistem budidaya akuakultur dan hidroponik yang dapat menjadi solusi untuk mengatasi keterbatasan lahan, keterbatasan sumber air serta meningkatkan ketahanan pangan. Pada sistem akuaponik, kualitas air pada budidaya ikan merupakan salah satu syarat utama dalam keberhasilan proses budidaya. Penelitian ini mengkombinasikan peternakan lele dengan penanaman kangkung hidroponik. Kotoran ikan lele dan sisa makanan terakumulasi di air dan dapat menjadi racun bagi ikan lele karena mengandung kadar anomia yang tinggi sehingga sangat berbahaya jika tidak dibuang. Air ini kemudian dialirkan ke tanaman kangkung hidroponik melalui biofilter yang bermanfaat sebagai pengurai air kotor dari kolam menjadi nitrat dan nitrit yang berguna sebagai nutrisi tanaman. Selanjutnya setelah air menjadi bersih dan mempunyai kadar oksigen yang tinggi, air tersebut dialirkan kembali ke kolam ikan lele. Penelitian ini bertujuan untuk mengembangkan sistem cerdas pada budidaya akuaponik dengan memanfaatkan teknologi <em>Internet of Things</em><em> </em>yang dilengkapi dengan beberapa jenis sensor untuk memantau dan mengendalikan kualitas air dengan menerapkan algoritma Sistem Inferensi Fuzzy /<strong><em> </em></strong><em>Fuzzy Inference System </em>(FIS) untuk mengatur kecepatan sirkulasi air kolam agar menghemat daya listrik pada pompa<em>.</em> Peralatan ini juga dilengkapi dengan layanan pemberian pakan ikan secara otomatis yang dapat diprogram sesuai kebutuhan. Sistem akuaponik ini dapat dipantau melalui web maupun ponsel pintar berbasis android. Pengujian yang dilakukan terhadap perbandingan keputusan oleh pakar dan sistem FIS pada kecepatan sirkulasi air sistem akuaponik menunjukkan nilai akurasi 83,33%, dan hasil dari pengujian ketepatan alat pemberi pakan yang dibuat secara otomatis terhadap ketepatan pemberian pakan secara manual memiliki nilai akurasi 90,97%.</p><p class="Abstrak"> </p><p class="Abstrak"><em><strong>Abstract</strong></em></p><p class="Judul21"><em><span lang="IN">Aquaponics is a combination of aquaculture and hydroponic cultivation systems that can be a solution to overcoming limited land, limited water sources and increasing food security. In the aquaponics system, water quality in fish farming is one of the main requirements in the success of the cultivation process. This research combines catfish farming with hydroponic kale cultivation. Catfish feces and food scraps accumulate in water and can be toxic to catfish because they contain high levels of anomia so it is very dangerous if not disposed of. This water is then flowed to hydroponic kale plants through a biofilter which is useful as decomposing dirty water from the pond into nitrates and nitrites which are useful as plant nutrients. Furthermore, after the water becomes clean and has high oxygen levels, the water is flowed back into the catfish pond. This study aims to develop a smart system in aquaponic cultivation by utilizing Internet of Things technology which is equipped with several types of sensors to monitor and control water quality by applying the Fuzzy Inference System (FIS) algorithm to regulate the speed of pool water circulation in order to save electric power on the pump. This equipment is also equipped with an automatic fish feeding service which can be programmed as needed. This aquaponics system can be monitored via the web or an Android-based smart phone. Tests carried out on the comparison of decisions by experts and the FIS system on the water circulation speed of the aquaponics system show an accuracy value of 83.33%, and the results of testing the accuracy of the feeder that is made automatically against the accuracy of manual feeding have an accuracy value of 90.97% .</span></em></p><p class="Abstrak"><em><strong><br /></strong></em></p>

scholarly journals STUDY AND ANALYSIS OF PERMANENT MAGNET DC MOTORS WITH VARIOUS PARAMETERS

2017 ◽  
Vol 5 (2) ◽  
pp. 151-155
Author(s):  
S. K. Mahobia
Keyword(s):  
Permanent Magnet ◽  
Direct Current ◽  
Electrical Power ◽  
Speed Control ◽  
Dc Motor ◽  
Electrical Machines ◽  
Stator Winding ◽  
Dc Motors ◽  
Field Control ◽  
Permanent Magnet Dc Motors

The permanent magnet type DC motors are used in various applications as heater, wiper. DC motors are any of a class of electrical machines that converts direct current electrical power into mechanical power. The DC motor has important role in moving machine because of mostly use in the industry appliances. The speed control of DC motor is increasingly getting sophisticated and precise. The Speed of the DC motor is controlled by with the help of controlling the stator winding voltage. There are various methods of speed control of DC drives namely field control.

scholarly journals SISTEM ALAT MONITORING UNTUK PENGENDALI SUHU DAN KELEMBABAN GREENHOUSE BERBASIS INTERNET OF THINGS

INFO-TEKNIK ◽  
2020 ◽  
Vol 21 (1) ◽  
pp. 25
Author(s):  
Arafat Arafat ◽  
Ibrahim Ibrahim
Keyword(s):  
Soil Moisture ◽  
Internet Of Things ◽  
Water Discharge ◽  
Smart Phone ◽  
Optimal Level ◽  
Water Pump ◽  
Control Center ◽  
Turn On ◽  
And Control ◽  
Internet Of Things Technology

Greenhouse is an agricultural technology to protect plants from uncertain weather, with the Greenhouse will be able to maintain and distribute temperature, soil moisture, sunlight, and air humidity evenly with an optimal level. Even so the environmental conditions inside the Greenhouse will always change due to the influence of the weather environment outside the Greenhouse which is uncertain, so there is a need for monitoring so that plants inside the Greenhouse can grow optimally. With IoT (Internet of Things) technology, Greenhouse farmers do not need to visit the Greenhouse to monitor and control the environment inside the Greenhouse. This is because with the IoT technology Greenhouse farmers can monitor and control v1ia an Android smart phone. The things that can be monitored are temperature, humidity of the room, soil moisture, sunlight, water discharge, and soil moisture, besides that farmers can also control the temperature and humidity of the Greenhouse environment, as well as the provision of water to plants in the Greenhouse. The system used in this study uses ESP32 as a control center and uses DHT11, Soil Moisture, as a sensor to measure IoT temperaturei, humidityi and soil moisture in the greenhousei. As a control in the greenhouse there are two control outputs, namely water pump 1 and water pump 2. ESP32 will read the temperature, humidity and soil moisture sent from the DHT11 sensor which will determine whether the water pump will turn on or not. To read the soil moisturei sensor used is capacitivei soil moisturei, if the soil moisture reaches a predetermined threshold, the water pump 2 will turn on and drain the water into a poly bag through drip drops.

Motor DC Speed Adjustment By Propotional Integral Derivative (PID) Based on LabView

2016 ◽  
Vol 4 (2) ◽  
pp. 13-24
Author(s):  
Alifa Restu Janwar Wiriawan
Keyword(s):  
Pid Controller ◽  
Rotation Speed ◽  
Dc Motor ◽  
Motor Speed ◽  
Labview Software ◽  
Dc Motors ◽  
Time Integral ◽  
Parameters Tuning ◽  
And Control ◽  
Speed Adjustment

Abstract - DC motors are widely used in small and large industries. DC motor speed is often unstable due to outside interference and changes in the parameters of the fabrication so it is necessary to design a controller. Motor DC speed adjustment and monitoring is a crucial system as it i implemented in industrial. This motor DC speed adjustment and monitoring using computer interface where in industial this system will support operator for adjusting and monitoring motor speed. For acquiring best control parameters, tuning is needed for acquiring best Proportional Integral Derivative(PID) value. This tuning is used for find the best proportional gain, time integral, derivative time. PID controller will give a better control respond to the DC Motor based on the error, the DC motor rotation speed needed is called Setpoint. The labview software used as an interface of monitor and control. Keyword : LabView, Motor DC, Arduino, Ouptocoupler, Computer

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.

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