scholarly journals The Implementation of Embedded Fuzzy Logic Controller on Liquid Level Control System

2020 ◽  
Author(s):  
Adnan Rafi Al Tahtawi ◽  
Sofian Yahya ◽  
Budi Setiadi ◽  
Chairina Marsya
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Controller ◽  
Liquid Level ◽  
Level Control ◽  
Level Control System ◽  
Liquid Level Control

scholarly journals RESEARCH OF LIQUID LEVEL CONTROL SYSTEM / SKYSČIO LYGIO VALDYMO SISTEMOS TYRIMAS

2015 ◽  
Vol 7 (3) ◽  
pp. 317-322
Author(s):  
Dominykas Beištaras
Keyword(s):  
Fuzzy Logic ◽  
Control System ◽  
Fuzzy Logic Controller ◽  
Liquid Level ◽  
Water Tank ◽  
Level Control ◽  
Level Control System ◽  
Filling Time ◽  
Control System Model ◽  
Liquid Level Control

This paper presents liquid level control system model and analysis of dynamic characteristics. The system consists of scalar controlled induction motor drive, fuzzy logic controller, water tank and centrifugal pump. Simulink models of water tank, pump and controller are presented. The simulation of the system shows that the use of fuzzy logic controller reduces valve opening time and reservoir filling time. Nagrinėjamas skysčio lygio valdymo sistemos imitacinių modelių sudarymas, analizuojamos dinaminės charakteristikos. Valdymo sistema sudaryta iš skaliariniu būdu valdomos dažninės elektros pavaros su neraiškiosios logikos reguliatoriumi, vandens rezervuaro ir išcentrinio siurblio. Sudaryti rezervuaro, siurblio ir reguliatoriaus Simulink modeliai. Atlikus imitacijas gauta nedimensinė siurblio charakteristika, apibūdinanti siurblio veikimą, esant bet kokiam sukimosi greičiui. Nustatyta, kad sistemoje su neraiškiosios logikos reguliatoriumi vožtuvas yra atidaromas greičiau nei sistemoje su proporcinguoju integraliniu (PI) reguliatoriumi, ir todėl sumažinama rezervuaro pripildymo trukmė.

The Study on Liquid Level Control System Based on PLC and WinCC

2013 ◽  
Vol 336-338 ◽  
pp. 1292-1295
Author(s):  
Min Zhao ◽  
Cai Yun Ren ◽  
Dong Liang Lei ◽  
Feng Lian Qi
Keyword(s):  
Control System ◽  
Control Process ◽  
Liquid Level ◽  
Control Technique ◽  
Level Control ◽  
Level Control System ◽  
Plc Control ◽  
Ac Motors ◽  
Machine Interface ◽  
Liquid Level Control

Based on the PLC control technique and WinCC configuration technology,the control system for the liquid level of the tank was designed. After receiving liquid level signal that transferred from radar tester,the PLC process it ,and then output related control signal to the actuator.The actuator is composed of two AC motors,one is for the main pump ,and another for the auxiliary pump.The function of human-machine interface is achieved with the help of Smart700 touch screen of Siemens.Communication functions between the WinCC project and the PLC site and pictures of the control process which enabals real-time monitoring of the entire system are finished by designing configuration.Finally,the validity of the system and the feasibility of the design have been proved by debugging and the use of enterprises.

The Research and Design of Liquid Level Control System Based on Computer Nerve Network

2012 ◽  
Vol 591-593 ◽  
pp. 1629-1632
Author(s):  
Li Zhang ◽  
Jian Hui Wang ◽  
Hou Yao Zhu
Keyword(s):  
Neural Network ◽  
Control System ◽  
Pid Control ◽  
Liquid Level ◽  
Level Control ◽  
Control Effect ◽  
Nerve Network ◽  
Level Control System ◽  
Pid Neural Network ◽  
Liquid Level Control

This thesis mainly elaborated the PID neural network feed-forward algo-rithm and back propagation algorithm and the structure form of its controller, then make use of MATLAB to simulate the liquid level adjusting system, analysis its control perform-ance and choose appropriate neural network parameters, and compared with the traditional PID control effect, analyzes the advantages of PID neural network. Through the comparison with the conventional PID control, PID neural network is superior to the traditional PID. The traditional PID control tuning parameters has a large number of thumb rules for reference, but the setting out of the parameters is not necessarily good. And sometimes we have to modify the parameters if we wound the better control effect. PID neural network is set up as long as the learning step in accordance with the PID rule set. this paper has show that Liquid Level Control System based on Computer Nerve Network has good control effect of rapid and effective.

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