Design of the Temperature Control System of the Giant Magnetostrictive Actuator

2012 ◽  
Vol 482-484 ◽  
pp. 2600-2604
Author(s):  
Fan Zeng ◽  
Jing Jun Lou ◽  
Shi Jian Zhu
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Temperature Sensor ◽  
Control Algorithm ◽  
Temperature Control System ◽  
Plate Temperature ◽  
Magnetostrictive Actuator

Semiconductor refrigeration plate, temperature sensor, microcontroller STC12C5410AD and other circuits are used to design a new kind of temperature control system of the giant magnetostrictive actuator. Semiconductor refrigeration plate is controlled by the PID control algorithm for temperature controlling automatically.

Oil Temperature Control System PID Controller Algorithm Analysis Research on Sliding Gear Reducer

2014 ◽  
Vol 621 ◽  
pp. 357-364
Author(s):  
Yong Mei Wang ◽  
Xi Gui Wang
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Algorithm ◽  
High Reliability ◽  
Algorithm Analysis ◽  
Temperature Control System ◽  
Control Technology ◽  
Widespread Application ◽  
Digital Pid

With the development of computer technology, communication technology, electronic technology and automatic control technology, computer control technology widespread application, has been widely used in iron and steel, petroleum, chemical, electric power, building materials, machinery manufacturing, automotive, textile, transportation and other industries. Controlled by computer, we can realize the control of high reliability, process visualization, remote monitoring, data storage and processing. The simulation of PID control algorithm, and focuses on the study and analysis of the digital PID control algorithm, the marine gear lube oil temperature control system model, the three parameters of digital PID: proportional coefficient, integral constant, differential constant on the control system performance was also analyzed.

Room Temperature Controller uses the PID

2016 ◽  
Vol 4 (2) ◽  
pp. 1-12
Author(s):  
Ramadan Firdaus
Keyword(s):  
Control System ◽  
Automatic Control ◽  
Temperature Control ◽  
Pid Control ◽  
Temperature Sensor ◽  
Stable Condition ◽  
Plant Response ◽  
Temperature Control System ◽  
Set Point ◽  
Work Effectiveness

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.

ARM-Based Resistance Furnace Neural Network Temperature Control System Design

2013 ◽  
Vol 319 ◽  
pp. 562-566 ◽  
Author(s):  
Hong Fang ◽  
Hong Lian Li
Keyword(s):  
Neural Network ◽  
Control System ◽  
Temperature Control ◽  
Pid Control ◽  
Control Algorithm ◽  
Temperature Control System ◽  
Resistance Furnace ◽  
Digital Conversion ◽  
Precise Control ◽  
Single Neural Network

to promote the measuring and controlling precisions of temperature control system, in this paper, a temperature detecting circuit is made up of thermocouple and digital conversion chip MAX6675 with ARM chip at its core. The PID control algorithm of single neural network is also brought up herein and adopted in simulating the temperature control system of resistance furnace. The result shows that PID control algorithm of single neural network can achieve better controlling effects than the traditional one and realize precise control over temperature.

The Research on Software of the Temperature Control of Motor Speed System

2010 ◽  
Vol 29-32 ◽  
pp. 349-353
Author(s):  
Jing Tang ◽  
En Xing Zheng
Keyword(s):  
Control System ◽  
Temperature Control ◽  
Temperature Sensor ◽  
Temperature Control System ◽  
Motor Speed ◽  
Temperature Index ◽  
Digital Temperature Sensor ◽  
Microcontroller Unit

The paper designs a temperature control system based on AT89C51 and DS18B20. The design uses the DS18B20 digital temperature sensor as the temperature acquisition unit and the AT89C51 microcontroller unit to control them, not only have the advantages that easy to control and with good flexibility, but also can greatly enhance the controlled temperature index.

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