Javascript must be enabled to continue!
Room Temperature Controller uses the PID
View through CrossRef
Abstract - Today's automatic control system provides many benefits for humans. Apart from being able to increase work time, automatic control can also reduce human errors and increase work effectiveness. One application of automatic control is controlling temperature with the aim of obtaining the desired temperature in a relatively short time and can maintain the temperature in a stable condition. The temperature control system can be applied using the Arduino and LabVIEW boards. In this temperature control system one LM35 temperature sensor is used. The temperature sensor is placed in a position that is adjusted to the inside of the plant to find the temperature transfer that occurs in the plant. Data from the sensor then goes to the Arduino board, which in this control system uses data as an acquisition. To maintain the temperature inside the factory, use a ventilation fan to lower the temperature if the temperature inside the plant exceeds the set point. To control the fan used this controls the PID which is implemented through LabVIEW. In addition to implementing the PID control, LabView is used as an interface to find out the actual temperature of the plant RPM speed of the fan used and filling in the PID parameters. In the PID approval three parameters can be obtained with Ziegler-Nichols penalties. The results of the study show that the plant response is continuous oscillation and can be overcome by using Ziegler-Nichols continuous oscillation punishment. By using LabVIEW PID and punishment parameters using the Ziegler-Nichols method, for a set point temperature of 28oC the plant response is (28 ± 0.5) oC. In other words controlling temperature using the PID control and the Ziegler-Nichols method have errors below 2% indicating that the temperature control system is feasible to use. Keyword : Temperature, PID Control, LabVIEW, Arduino board, Ziegler-Nichols.
Universitas Komputer Indonesia
Title: Room Temperature Controller uses the PID
Description:
Abstract - Today's automatic control system provides many benefits for humans.
Apart from being able to increase work time, automatic control can also reduce human errors and increase work effectiveness.
One application of automatic control is controlling temperature with the aim of obtaining the desired temperature in a relatively short time and can maintain the temperature in a stable condition.
The temperature control system can be applied using the Arduino and LabVIEW boards.
In this temperature control system one LM35 temperature sensor is used.
The temperature sensor is placed in a position that is adjusted to the inside of the plant to find the temperature transfer that occurs in the plant.
Data from the sensor then goes to the Arduino board, which in this control system uses data as an acquisition.
To maintain the temperature inside the factory, use a ventilation fan to lower the temperature if the temperature inside the plant exceeds the set point.
To control the fan used this controls the PID which is implemented through LabVIEW.
In addition to implementing the PID control, LabView is used as an interface to find out the actual temperature of the plant RPM speed of the fan used and filling in the PID parameters.
In the PID approval three parameters can be obtained with Ziegler-Nichols penalties.
The results of the study show that the plant response is continuous oscillation and can be overcome by using Ziegler-Nichols continuous oscillation punishment.
By using LabVIEW PID and punishment parameters using the Ziegler-Nichols method, for a set point temperature of 28oC the plant response is (28 ± 0.
5) oC.
In other words controlling temperature using the PID control and the Ziegler-Nichols method have errors below 2% indicating that the temperature control system is feasible to use.
Keyword : Temperature, PID Control, LabVIEW, Arduino board, Ziegler-Nichols.
Related Results
A Feedback‐Assisted Inverse Neural Network Controller for Cart‐Mounted Inverted Pendulum
A Feedback‐Assisted Inverse Neural Network Controller for Cart‐Mounted Inverted Pendulum
A vast variety of neural network (NN)–based controllers use indirect adaptive control structures for their implementation, which primarily aims at estimating the nonlinear dynamics...
Battery Energy Storage System (BESS) Modeling for Microgrid
Battery Energy Storage System (BESS) Modeling for Microgrid
In the age of technology, microgrids have become well known because of their capability to back up the grid when an unpleasant event is about to occur or during power disruptions, ...
Robust Nonlinear Non-Referenced Inertial Frame Multi-Stage PID Controller for Symmetrical Structured UAV
Robust Nonlinear Non-Referenced Inertial Frame Multi-Stage PID Controller for Symmetrical Structured UAV
The design and implementation of a multi-stage PID (MS-PID) controller for non-inertial referenced UAVs are highly complex. Symmetrical multirotor UAVs are unstable systems, and it...
Sistem Kendali Hybrid Fuzzy-Pid pada Kinematika Robot Berkaki 4 Menggunakan Sensor Gyroscope
Sistem Kendali Hybrid Fuzzy-Pid pada Kinematika Robot Berkaki 4 Menggunakan Sensor Gyroscope
<p><em>Legged robots have attracted the attention of researchers because of their superior adaptation to complex environments compared to wheeled robots. Legged robots ...
High-fidelity modeling of redundant EMA and small angle displacement analysis under different controllers
High-fidelity modeling of redundant EMA and small angle displacement analysis under different controllers
An increasing number of applications of the electromechanical actuator (EMA) in the flight vehicle control system have required accurate dynamic models and control strategies. This...
A Proposed Controller for Pitch Angle of Wind Turbine
A Proposed Controller for Pitch Angle of Wind Turbine
Wind turbines are complicated non-linear systems with certain random disruptions. The pitch control system is a commonly employed method for regulating the electricity generated by...
A new intelligent approach for frequency controller of autonomous hybrid power systems
A new intelligent approach for frequency controller of autonomous hybrid power systems
Abstract
An intelligent approach for load frequency control based on a proportional-integral-derivative (PID) controller, referred to as an intelligent PID (IPID) control...
Analysis of the PID Controller Parameters for A Surface Mobility Platform Mobile Robot
Analysis of the PID Controller Parameters for A Surface Mobility Platform Mobile Robot
Surface mobility control is a fundamental challenge in robotics, and its applications range from autonomous vehicles to industrial automation. The main aim of the paper is to analy...

