Do you want to publish a course? Click here

Design Electronic Circuit Temperature Control Using Atmaga8 Controller

تصميم دارة الكترونية للتحكم بدرجة الحرارة باستخدام المتحكم Atmega8

2840   5   369   0 ( 0 )
 Publication date 2017
and research's language is العربية
 Created by Shamra Editor




Ask ChatGPT about the research

This work presents the details of the construction of the temperature control system in the center. We used the Atmega8 microcontroller which has high performance speed and suitable memory.


Artificial intelligence review:
Research summary
يقدم هذا البحث تصميم دارة إلكترونية للتحكم في درجة الحرارة باستخدام المتحكم Atmega8. يتميز هذا المتحكم بأداء عالي وسرعة مناسبة، ويستخدم حساس حراري (LM35) لقياس درجة الحرارة وتحويلها إلى جهد كهربائي متناسب. تعتمد الدارة على مبدأ التغذية العكسية لتحسين الأداء، حيث يتم برمجة المتحكم باستخدام لغة C لعرض النتائج على شاشة LCD. يتم التحكم في درجة الحرارة من خلال دارات تبريد وتسخين متصلة بحاكمة حرارية. تم اختبار الدارة في بيئات مختلفة مثل مخازن الأدوية والبيوت البلاستيكية، وأظهرت النتائج فعالية النظام في ضبط درجات الحرارة ضمن الحدود المطلوبة.
Critical review
دراسة نقدية: على الرغم من أن البحث يقدم حلاً عملياً وفعالاً للتحكم في درجة الحرارة باستخدام المتحكم Atmega8، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، كان من الممكن تقديم مزيد من التفاصيل حول كيفية اختيار المكونات الإلكترونية المستخدمة ولماذا تم اختيارها. ثانياً، لم يتم مناقشة جوانب الأمان بشكل كافٍ، مثل كيف يمكن للنظام التعامل مع حالات الفشل أو الأعطال. ثالثاً، كان من الممكن تحسين البحث من خلال تقديم مقارنة أعمق مع أنظمة التحكم الأخرى المتاحة في السوق. وأخيراً، كان من الممكن تحسين العرض البصري للنتائج باستخدام أدوات تحليل بيانات أكثر تطوراً مثل MATLAB أو Python.
Questions related to the research
  1. ما هو الهدف الرئيسي من البحث؟

    الهدف الرئيسي هو تصميم دارة إلكترونية رقمية مبرمجة لضبط درجة الحرارة في بيئات مختلفة باستخدام المتحكم Atmega8.

  2. ما هي المكونات الأساسية المستخدمة في الدارة؟

    المكونات الأساسية تشمل المتحكم Atmega8، الحساس الحراري LM35، شاشة LCD، دارة تغذية، حاكمة حرارية (Relay)، وترانزستور.

  3. كيف يتم تحسين أداء النظام؟

    يتم تحسين أداء النظام باستخدام مبدأ التغذية العكسية وبرمجة المتحكم بلغة C لعرض النتائج على شاشة LCD.

  4. ما هي التطبيقات المحتملة لهذا النظام؟

    يمكن استخدام النظام لضبط درجة الحرارة في مخازن الأدوية، البيوت البلاستيكية، المعامل، المصانع، وحتى المنازل.


References used
MISHRA,U,JASPRIT,S,2007- Semiconductor Device physics and Desgn
M. M. CIROVIC, J. H. HARTER, 1987- Electronic devices, circuits and systems, Prentice Hall
BOGART ,F. T.,1995-Electronic devices and circuits, Universal Book stall, New Delhi
rate research

Read More

This paper shows how to design and implement control circuit in the movement of pv board to reach to maximal possible output, by designing a system to integrate several methods of of control with each other. During this work, we will design through formation a unified system combine control by light sensors, and control via data base on the other hand. In addition to compare pv angle in both ways. The proposed circuit designed, conduct a simulation, and implementation a miniature model simulates reality, and discussed the result to to conflict the advantage and the goal of using the proposed system. All that by using micro controller (PIC).
One ofa car's suspension system functions is to isolate vibrations resulting from road on the driver and ensure a comfortable ride. But the design of control systems for semi-active suspension systems is difficult because of the non-linearity of the constituent elements of these systems which make the researches related to it characterized by complexity. So in order to improve the performance of semi-active suspension systems without bearing the effort of designing a model based controller, a control system is designed using self-organizing fuzzy controller based on the principle of delay-in-penalty to control a semi-active suspension system which uses a magneto rheological damper. The controller tries to enhance system performance using the desired response as it is described in the penalty table. The fuzzy logic controller is based on two inputs namely sprung mass velocity and unsprung mass velocity. Using a quarter car model with 2 degree-of-freedom the system is modeled and simulated in MATLAB &Simulink® and the results are compared to the widely used sky-hook strategy. the simulation showed the ability of the self-organizing fuzzy controller to provide good results in minimizing sprung mass acceleration in variousroad profiles compared to sky-hookstrategy.
In this research a proportional integral differential classic (PID controller) and state feedback controller was designed to control the in the inverted pendulum and a comparison between all the cases and choose the most suitable controller using MATLAB / SIMULINK program
As we enter the age of artificial intelligence, the need for intelligent home appliances has become very important for what this smart equipment can provide in the provision of electrical energy and water resources that are treasures should human pre servation, in addition to the contribution of this equipment to protect the environment from pollution, where we face the challenges next: High prices of electrical equipment.  The number of hours of electricity supply in many areas is low because of the current conditions in our country. - Water shortage. - The rise in prices of materials used in daily life in general and household detergents in particular - Great waste of electricity. - Pollution of the environment and groundwater with detergents used in the laundry process. Moreover, the unjust economic blockade imposed on our country is pushing us to work to produce low-cost national housing equipment that competes with foreign products in order to alleviate the material burden on the citizens and promote the national economy. In order to accomplish this smart washing machine, we have written a code for f type-2 fuzzy microcontroller, using the Python programming language. This controller has received four entries, which are: The first income (clothing color), obtained by taking a picture of the clothes that we need to wash by a camera with a resolution of 8 megapixels, analyzed using OpenCV library, and the second income (clothing type), determined by the local binary pattern algorithm, which is common digital image processing algorithm that widely used to identify shapes that follow specific pattern and structure, the third income (degree of dirt), and was identified by taking a picture of the clothes after soaking them with water for two minutes. The image was then analyzed by the OpenCV library and the fourth (washing weight) that getting From the Load Cell, which measures the physical weights. The readings were converted to digital values via the HX711 digital analogue converter and then sent to Arduino UNO to determine the weight. The weight values were eventually sent to the Raspberry PI for use in the controller. The system generates three exits: washing time (the length of time the laundry was washed), the temperature required for washing, and the amount of detergent required. After selecting all the previous values, we transferred to control Wattar washing machine model 402, where the water valve was controlled to allow the water to pass into the powder box and from it to the washing basin. The water heater was controlled, which heated the water to the temperature determined by the Fuzzy algorithm, The temperature was monitored by the DS18B20 temperature sensor, which gives a signal to the Raspberry PI at the arrival of the temperature to the required value, and the washing machine engine is controlled for a third of the time specified in the Fuzzy algorithm and we controlled the pump Water to empty basin Washing from water, the process repeated for three consecutive times, we control using a software interface designed using TKinter library  We have been able to design a smart Fuzzy logic type-2 controller with the following advantages: o save electricity consumption o Provide quantity of detergents o Shortenwashingtime  We have been able to control the following physical components within the washing machine: o Control the water pump o control Water valve o controlMotor o controlTemperaturesensor o controlLCDscreen  We have built a smart washing machine with the following characteristics: o Have the ability to recognize the condition of clothes o Identify the type of clothing o Identify the color of clothes o Dothewashingwithoutusingapredefinedprogram.  The controller we designed gives good results to calculate the following: o Washingtime o Quantity of detergents o Temperature All diagrams appear in the case of the incremental gradient with an increased degree of dirt and as values correspond to each type of clothing. Keywords: smart washing machine, saving electricity, saving detergent, shortening washing time, color and clothing distinction, artificial intelligence, fuzzy logic type-2, Raspberry PI, control, Python programming language, HX711.
In this paper we will study the usage of equivalent circuit; in modeling a round shaped metal cylinder in rectangular waveguide to get filters that can be calibrated and used in the microwave domain. We will study the structure of a rectangular re sonant cavity linked stimulatory through thick openings. Also a metal shape to be calibrated in rectangular resonant cavity linked stimulatory through thick openings. We will use matlab for showing transition and reflection factors for the suggested filters.
comments
Fetching comments Fetching comments
Sign in to be able to follow your search criteria
mircosoft-partner

هل ترغب بارسال اشعارات عن اخر التحديثات في شمرا-اكاديميا