Performances evaluation and comparison of PID controller and fuzzy logic controller for process liquid level control

2015 ◽  
Author(s):  
Deepa Shivshant Bhandare ◽  
N. R. Kulkarni
Keyword(s):  
Fuzzy Logic ◽  
Pid Controller ◽  
Fuzzy Logic Controller ◽  
Liquid Level ◽  
Level Control ◽  
Performances Evaluation ◽  
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.

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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