scholarly journals Study of Double-holding Water Tank Liquid Level Control Base on Neural Networks PID Control

Author(s):  
Yuli Wei
2011 ◽  
Vol 383-390 ◽  
pp. 207-212 ◽  
Author(s):  
Yi Lin ◽  
Xiao Ling Ye

Aiming at the liquid-level control of double water-tank, this paper discusses the application of fuzzy control theory in liquid-level control system and a cascade control method based on fuzzy self- tuning PID controller is proposed. The design method of this fuzzy self- tuning PID controller is put forward. The fuzzy self- tuning PID controller is designed and the control effect of three kinds control methods, the single loop PID control system, the cascade control system and the cascade control system based on fuzzy self- tuning PID are simulated with Simulink. The analysis and simulation results indicate that the overshoot, the adjusting time and the capacity of anti- disturbance of the liquid-level cascade control system based on fuzzy self- tuning PID controller are superior to those of the general single loop PID control and cascade control.


2012 ◽  
Vol 155-156 ◽  
pp. 1232-1236 ◽  
Author(s):  
Huai Zhong Chen

Because the characteristics of the liquid level control conditioner are nonlinear, strong inertia, time-variant and pure delay, the conventional PID control is often ineffective. A fuzzy immune PID controller was designed based on the immune feedback mechanism and the fuzzy control theory, used the genetic algorithm to optimize the immune PID parameters, established a the liquid level control of water tank control system model, and applied fuzzy immune PID control technology to simulate the liquid level control through Matlab emulation., simulation results show that the control system has the characteristic of rapid adjustment, high regulation enec, therefore it has the feasibility and the promotion of a certain value.


2015 ◽  
Vol 7 (3) ◽  
pp. 317-322
Author(s):  
Dominykas Beištaras

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.


2012 ◽  
Vol 591-593 ◽  
pp. 1629-1632
Author(s):  
Li Zhang ◽  
Jian Hui Wang ◽  
Hou Yao Zhu

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.


2014 ◽  
Vol 945-949 ◽  
pp. 2559-2562
Author(s):  
Miao Yu ◽  
Hong Li Jia ◽  
Pan Jie Chen

Double tank level control system is the combined control with the host computer and basic instrument, and it realizes the communicative function through monitoring and management. The object of this topic is mainly on double-tank system, then gets the theoretical parameters PID through measuring the characteristic curves of the water level, and finally use MCGS configuration software on PC, for further interaction interface to the parameters tuning of double-holding water tank system and to set the parameters. After reaching the expected target, on the base of routine control PID, we can improve the system function by forming the double loop system and control the liquid level of the water bank better. The two tank liquid level control is made as the core control system by computer and as one kind of fashionable trends.


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