scholarly journals Rancang Bangun Prototype Pengering Gabah Otomatis Dengan Pengendali Sensor Kelembaban Dan Suhu Berdasarkan Suhu Ruang Berbasis Mikrokontroler ATmega 328

Electrician ◽  
2020 ◽  
Vol 14 (1) ◽  
pp. 21-25
Author(s):  
Mohammad Al Faris ◽  
Sri Purwiyanti ◽  
Herlinawati Herlinawati
Keyword(s):  
Initial Temperature ◽  
Dc Motor ◽  
Temperature Sensors ◽  
The Sun ◽  
Drying Time ◽  
Modern Times ◽  
Dc Motors ◽  
Grain Drying ◽  
Dc Motor Driver

Intisari — Pada zaman modern banyak produk-produk manufaktur yang serba otomatis untuk membantu manusia dalam mengerjakan pekerjaannya. Salah satu kerja yang membutuhkan bantuan mesin adalah pengering gabah. Pada saat ini pengeringan gabah dilakukan dengan konvensional yaitu dijemur di terik matahari dan bila cuaca mendung maka tidak dilakukan penjemuran. Oleh karena itu dibutuhkan alat yang terintegrasi. Alat pengeringan otomatis ini menggunakan mikrokontroler untuk mengatur kerja blower DC, motor driver L298N, Motor DC pengaduk gabah, Sensor suhu, dan Sensor kelembaban & suhu.  Pada alat ini menggunakan gabah dengan massa 0.5 kg, 1 kg, 1.5 kg, 2 kg dan 3 kg waktu pengeringan gabah dengan rata-rata waktu di setiap massa 36, 52.6, 65.8, 73.2, dan 83.2 menit dengan kelembaban dan suhu awal sama yaitu 80% & 26º C dan daya 120 Watt. Hasil dalam Proses selanjutnya yaitu dengan kelembaban awal 40%, 50% dan 60% dengan rata-rata waktu berturut-turut yaitu 34.8, 47.8, dan 63.2 menit. Dan hasil dari proses pengujian terakhir yang dilakukan di pagi hari dengan kelembaban dan suhu awal 89% & 20º C, siang hari dengan kelembaban dan suhu awal 80% dan 26ºC dan sore hari dengan kelembaban dan suhu awal 85% dan 23ºC didapatkan rata-rata waktu berturu-turut yaitu 75, 52.6 dan 63.4 Menit. Kelembaban standar yang telah diatur adalah 32% kelembaban tersebut hampir setara dengan kelembaban gabah yang telah disurvey yaitu 25% di tengah terik matahari dengan suhu 35ºC.   Kata kunci — Mikrokontroler, Pengeringan Gabah, Motor DC.     Abstract — In modern times many manufacturing products are completely automated to help people in their work. One job that requires the help of a machine is grain dryer. At this time grain drying is done conventionally, which is dried in the sun and when the weather is cloudy, drying is not done. Therefore we need an integrated tool. This automatic drying tool uses a microcontroller to regulate the work of DC blowers, L298N motor drivers, grain stirring DC motors, temperature sensors, and humidity & temperature sensors. In this tool using grain with a mass of 0.5 kg, 1 kg, 1.5 kg, 2 kg and 3 kg of grain drying time with an average time in each mass 36, 52.6, 65.8, 73.2, and 83.2 minutes with the same humidity and initial temperature ie 80% & 26º C and 120 Watt power. The results in the next process are with initial humidity of 40%, 50% and 60% with an average of consecutive times of 34.8, 47.8, and 63.2 minutes. And the results of the last testing process conducted in the morning with humidity and initial temperature of 89% & 20ºC, during the day with humidity and initial temperature of 80% and 26ºC and in the afternoon with humidity and initial temperature of 85% and 23ºC obtained an average time respectively 75, 52.6 and 63.4 Minutes. The standard humidity that has been set is 32%, the humidity is almost equivalent to the humidity of the grain that has been surveyed, which is 25% in the hot sun with a temperature of 35ºC.   Keywords— Microcontroller, Grain Drying, DC Motor.

scholarly journals Experimental Study of Paddy Grain Drying in Continuous Recirculation System Pneumatic Conveyor

2018 ◽  
Vol 156 ◽  
pp. 05022
Author(s):  
Totok Prasetyo ◽  
Listiyana Riska ◽  
Rahim Arlanta ◽  
Siswo Sumardiono
Keyword(s):  
Experimental Study ◽  
Energy Consumption ◽  
Conventional Method ◽  
The Sun ◽  
Drying Time ◽  
New Methods ◽  
Grain Drying ◽  
Recirculation System ◽  
Main Factor ◽  
Weight Loading

Nowadays, paddy drying using conventional method is irrelevant to used. The increasing need of grain each year is one of the main factor that pushes scientist to invent new methods of drying paddy grain. The old method is unusefull since it takes up space, needed the sun as the drying media which causes a long drying time. One of the alternative of drying paddy grain is by using mechanic dryer. By using this dryer type, the process of drying takes faster comparing to the old method and the distribution of grain is supplied continuously. The dryer which uses pneumatic conveyor can be one of the solution due to its less energy consumption, a better drying result, and high drying capacity. The variable used to identify drying performance is temperature and loading weight. From the experiment, it is resulted that the best temperature for drying paddy grain is 60°C with the weight loading of 150 gram.

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 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.

Dual DC Motor Speed Control Based on Two Independent Digital PWM Signals using PIC16F877A Microcontroller

2016 ◽  
Vol 2 (3) ◽  
pp. 592
Author(s):  
Ayman Y. Yousef ◽  
M. H. Mostafa
Keyword(s):  
Control System ◽  
Software Package ◽  
Speed Control ◽  
Dc Motor ◽  
Open Loop ◽  
Motor Speed ◽  
Dc Motors ◽  
Duty Cycles ◽  
Speed Control System ◽  
Control System Model

<p>In this paper a dual open loop speed control system based on two independent PWM signals of small permanent magnet DC (PMDC) motors using PIC16F877A microcontroller (MCU) has been designed and implemented. The Capture/Compare/PWM (CCP) modules of the MCU are configured as PWM mode and the MCU is programmed using flowcode software package to generate two PWM signals with various duty cycles at the same frequency. A dual H-bridge channel chip SN754410 is used to drive the motors. The variation of PWM duty cycles is related directly to controlling the DC motors terminal voltage which directly proportional with speed of each motor. The complete PWM control system model has been simulated using proteus design suite software package. The development of hardware and software of the dual DC motor speed control system has been explained and clarified.</p>

Centrifugal Water Pump Driven With a DC Motor Powered by an Emulator of MK5-E Proton Exchange Membrane Fuel Cell Stacks

Volume 1 ◽  
2004 ◽  
Author(s):  
Fabio Lo Mastro ◽  
Gandolfo Blando
Keyword(s):  
Fuel Cell ◽  
Proton Exchange Membrane ◽  
Dc Motor ◽  
Proton Exchange ◽  
Water Pump ◽  
Temperature Level ◽  
Good Reliability ◽  
Dc Motors ◽  
The University ◽  
Exchange Membrane

Direct Current (DC) motors can be directly powered by Proton Exchange Membrane Fuel Cell (PEMFC) Stacks, to obtain plants with little maintenance and good reliability. To obtain a suitable efficiency working plant, it’s necessary to correctly match the load in order to operate in proximity to the best power line of the FC stacks generator. Otherwise by a proper field current regulation of a separately excited DC motor directly powered by a FC stacks generator, it is possible to extract from the generator itself the correct power for every temperature level. The present interest for this problem has advised the Authors to perform an experimental investigation, whose results are reported in this paper, about a centrifugal water pump powered as above c/o the machines laboratory of the Mechanical Department of the University of Palermo.

Studies on the Variation of the Process Parameters when Braking DC Motors with Shoe Brakes

2020 ◽  
Vol 896 ◽  
pp. 218-223
Author(s):  
Adrian Cernaianu ◽  
Corina Cernaianu ◽  
Eugenia Stăncuț ◽  
Leonard Marius Ciurezu-Gherghe
Keyword(s):  
Process Parameters ◽  
Dc Motor ◽  
Maximum Speed ◽  
Electrical Parameters ◽  
Dc Motors ◽  
Power And Energy

The paper aims to present some studies on the influence of mechanical braking systems with shoes on separately excited DC motors, intended to change the regime speeds. The researches were carried out by braking a 5 W DC motor with a maximum speed of 700 rpm, intended for special drives, with the help of a polyamide half-shoe brake, when measuring the variation of some process parameters: speed of the motor under the braking conditions, the temperature inside the shoe and the electrical parameters of the motor - voltage, current, power and energy consumed.

Dynamic simulations of electromechanical robotic systems driven by DC motors

Robotica ◽  
2004 ◽  
Vol 22 (5) ◽  
pp. 523-531 ◽  
Author(s):  
Moojin Kim ◽  
Wonkyu Moon ◽  
Daesung Bae ◽  
Ilhan Park
Keyword(s):  
Numerical Simulation ◽  
Electromechanical Coupling ◽  
Industrial Robot ◽  
Equivalent Circuit Model ◽  
Dc Motor ◽  
Robotic Systems ◽  
Analysis Model ◽  
Coupling Effects ◽  
Dc Motors ◽  
Applied Torque

When modeling the dynamics of robotic systems containing electric motors, the force generated by the motor is generally considered only as an applied torque or force that is independent of mechanical state variables such as velocity. Due to the electromechanical coupling effects in the motors, this approach leads engineers working on a robotic system to designing faulty controllers. In this paper, we propose a dynamics analysis model in which DC motor dynamics are embedded into a mechanical dynamics model such that the electromechanical coupling effects are included in the overall model. A model for the DC motor is developed based on its equivalent circuit model and incorporated into the generalized recursive dynamics formula previously developed by our group. The resulting dynamic numerical simulation program provides an effective and realistic approach for analyzing the electromechanical dynamics of robotic systems driven by DC motors. The developed numerical simulation tool is evaluated by applying to an industrial robot and a flexible antenna system driven by DC motors for a satellite.

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