2018
DOI: 10.12928/telkomnika.v16i6.9770
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PID Control Design for Biofuel Furnace using Arduino

Abstract: The target of the Indonesian government in 2025 is increasing the use of renewable energy up to 23%, one part of potential renewable energy in Indonesia is biofuel. Biofuel requires raw materials of plant or animal oil with or without catalyst, it does not require the raw material of ethanol or methanol. The product is similar to gasoline and diesel that came from crude oil. Potential oil-producing plants in Indonesia are Palm Oil and Nyamplung (Calophyllum inophyllum L.). The process of making biofuel from th… Show more

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Cited by 6 publications
(6 citation statements)
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“…The actual overshoot of the system is barely reduced due to the system having no cooling. The system with no cooling and only depends on the natural effect is slow in reducing temperature [37]. The experimental tuning phase involved conducting an open-loop experiment to obtain the S curve of the system.…”
Section: Comparison Between Simulation and Experiments Responsementioning
confidence: 99%
“…The actual overshoot of the system is barely reduced due to the system having no cooling. The system with no cooling and only depends on the natural effect is slow in reducing temperature [37]. The experimental tuning phase involved conducting an open-loop experiment to obtain the S curve of the system.…”
Section: Comparison Between Simulation and Experiments Responsementioning
confidence: 99%
“…It contains USB connection, crystal oscillator, eight analogs (I/O), twelve digitals (I/O), and a reset button. Its operating voltage is 5v [26,27].…”
Section: Arduino Nano Boardmentioning
confidence: 99%
“…PID controller (proportional integral derivative controller) is widely used in industrial control system, it is calculates an "error" value as the difference between the measured process variable and the desired set point [19][20][21], a proportional controller may not give steady state error performance which is needed in the system, an integral controller may give steady state error performance, but it slows a system down. So, the addition of a derivative term helps to cure both of these problems, Figure 3 illustrates a basic block of PID controller [22][23][24]. Figure 4 shows simulink model of WRIM that is proposed in this work without any controllers, and Figure 5 refers to the model with PID controller and subsystem include the simulink model of WRIM.…”
Section: Pid Controllermentioning
confidence: 99%