The Application of Fuzzy Smith-PID Controller in Coupled-Tank Liquid-Level Control System

2012 ◽  
Vol 241-244 ◽  
pp. 1076-1080 ◽  
Author(s):  
Liang Li ◽  
Zhang Yong ◽  
Li Ai-Lian
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Liquid Level ◽  
Level Control ◽  
Control Approach ◽  
Level Control System ◽  
System A ◽  
Liquid Level Control

To resolve the problem of lumping lag and nonlinear of the coupled-tank liquid-level control system , a fuzzy Smith- PID control approach is researched. In this approach, the characteristic of the control system is analyzed，the fuzzy Smith- PID controller is designed. In kingview, the monitoring interface is designed, and the Liquid-level control system is practiced.The result shows that this method is rationality and feasibility.

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.

Cascade Fuzzy Self-Tuning PID Control for the Liquid-Level Control of Double Water-Tank

2011 ◽  
Vol 383-390 ◽  
pp. 207-212 ◽  
Author(s):  
Yi Lin ◽  
Xiao Ling Ye
Keyword(s):  
Control System ◽  
Pid Control ◽  
Pid Controller ◽  
Cascade Control ◽  
Liquid Level ◽  
Water Tank ◽  
Level Control ◽  
Self Tuning ◽  
Liquid Level Control ◽  
Cascade Control System

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.

scholarly journals The Design of a Microcontroller-based Automatic Liquid Level Control System

2019 ◽  
Vol 8 (4) ◽  
pp. 636
Author(s):  
Saleh Ahmad ◽  
Abd Al Rahman Abu Ebayyeh ◽  
Abdulaziz Alhashmi
Keyword(s):  
Control System ◽  
Pid Controller ◽  
Control Strategies ◽  
Serial Communication ◽  
System Model ◽  
Liquid Level ◽  
Level Control ◽  
Level Control System ◽  
Liquid Level Control ◽  
Manual Mode

In this paper, a liquid level control system was designed and fabricated. Control of the liquid level was accomplished by adjusting the sup-ply voltage to a centrifugal pump that is delivering the liquid from a reservoir tank to an upper tank. The liquid level control system was implemented on an ATmega328 microcontroller. Three control strategies are implemented, manual mode, ON/OFF controller, and PID controller. Serial communication is used to establish the communication between the ATmega328 and a computer running MATLAB soft-ware. A graphical user interface was constructed to allow users to interact with the system. The system model is obtained using an experi-mental approach. The obtained model is then used for the design of the PID controller. Experimental results are provided to highlight the performance of the implemented controllers.  

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