Publisher： Trans Tech Publications
E-ISSN： 1662-7482|2016|842|324-328
ISSN： 1660-9336
Source： Applied Mechanics and Materials, Vol.2016, Iss.842, 2016-09, pp. : 324-328
Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.
Abstract
Microcontroller Arduino Mega and ATmega is a computer chip that needed and developed to control system or process. Microcontroller Arduino Mega and ATmega can be used to temperature control systems [1][2][3], the room lighting control, security control, the hazard warning [4], scheduling, monitoring water flow and dams actuator door and etc. Most studies on the microcontroller is focused on the functional capability of a microcontroller to read or measure the object. In addition to aspects of good function, microcontroller must have a high sensitivity in order to avoid delay or in-accuracies in the sensor reading measured object such as temperature. Microcontrollers has some advantages and disadvantages of the process accuracy depends on the processor and the ability microcontroller. In this paper focuses on the measurement errors that occur on microcontroller Arduino Mega and ATmega 8535 with a temperature sensor LM 35 and hygrometer digitizes dt05 for the application process cooling and heating sea water controls. The volume of sea water is measured is 3 to 35 litters with a temperature set point 28°C of lower temperatures above 25°C and 31°C. The results show that the maximum error obtained by using microcontroller Arduino Mega is 1,32°C or 13,2 mV and ATmega 8535 is 0,2°C or 2 mV. Also the microcontroller Arduino Mega is more suitable for control temperature measurement in the process of heating and cooling sea water.
Related content
Feasibility Study of Arduino Microcontroller Usage for IPMC Actuator Control
Applied Mechanics and Materials, Vol. 2015, Iss. 793, 2015-10 ,pp. :
Access to resources
Recommend
Design of Water Heating and Temperature Control System Based on STC89C52
Applied Mechanics and Materials, Vol. 2015, Iss. 734, 2015-04 ,pp. :
Particle Swarm Optimization of PIλDμ Control of Heating Furnace Temperature Control System
Applied Mechanics and Materials, Vol. 2014, Iss. 721, 2015-02 ,pp. :