PID Controller Design for Two Tanks Liquid Level Control System Using Matlab

2015 ◽  
Vol 5 (3) ◽  
pp. 436 ◽  
Author(s):  
Mostafa Abdul Fellani ◽  
Aboubaker M. Gabaj
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Liquid Level ◽  
Level Control ◽  
Process Industries ◽  
Tuning Method ◽  
Pid Tuning ◽  
Tank System ◽  
Pid Controller Design ◽  
Tuning Methods

The industrial application of Coupled Tank System (CTS) is widely used especially in chemical process industries. The control of liquid level in tanks and flow between tanks is a problem in the process technologies. The process technologies require liquids to be pumped, stored in tanks, and then pumped to another tank systematically. This paper presents development of Proportional-Integral-Derivative (PID) controller for controlling the desired liquid level of the CTS. Various conventional techniques of PID tuning method will be tested in order to obtain the PID controller parameters. Simulation is conducted within MATLAB environment to verify the performances of the system in terms of Rise Time (Ts), Settling Time (Ts), Steady State Error (SSE) and Overshoot (OS). The trial and error method of tunning will be implemented and all the performance results will be analyzed using MATLAB. It has been demonstrated that performances of CTS can be improved with appropriate technique of PID tuning methods.

scholarly journals Optimal PID controller design for level control of three tank system

2016 ◽  
Vol 4 (26) ◽  
pp. 1-5 ◽  
Author(s):  
S. Singh ◽  
V. P. Singh ◽  
R. K. Dohare ◽  
S. P. Singh ◽  
S. K. Jain
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Level Control ◽  
Tank System ◽  
Pid Controller Design

scholarly journals Performance Evaluation of the Good Gain Method Against Other Methods Using a Water Level Control System

2020 ◽  
Vol 14 ◽  
Keyword(s):  
Water Level ◽  
Pid Controller ◽  
The Other ◽  
Pid Controllers ◽  
Proportional Integral Derivative ◽  
Level Control ◽  
Tuning Method ◽  
Pid Tuning ◽  
Pid Controller Tuning ◽  
Tuning Methods

Various tuning methods have been proposed for proportional-integral-derivative (PID) controller. A respectively new and simple experimental method for tuning PID controllers named a Good Gain method that was recently proposed by F. Haugen in 2010, this method is not yet recognized among the other known methods for tuning. However, the founder of this methods claims that it can be an alternative to the famous Ziegler-Nichols. In this paper, PID tuning method has been performed experimentally using a real water level system in order to test and validates the Good Gain method. Also other PID tuning methods applied to the same system to compare the results. The results show that the Good Gain method gives an acceptable stability and response comparing to the other industrial PID controller tuning procedures

scholarly journals SIMULATION AND PERFORMANCE OF LIQUID LEVEL CONTROLLERS FOR LINEAR TANK

2020 ◽  
Vol 82 (3) ◽  
Author(s):  
Qahtan A. Mahmood ◽  
Amer T. Nawaf ◽  
Shaho A. Mohamedali
Keyword(s):  
Pid Controller ◽  
Absolute Error ◽  
Liquid Level ◽  
Pid Controllers ◽  
Water Tank ◽  
Level Control ◽  
Tuning Method ◽  
Squared Error ◽  
And Performance ◽  
Tuning Methods

Level control of liquid in a tank or any similar container is widely used in applications such as chemical and oil industrial processes. Control the level at desired value is very important. This paper studies the performance of P, PI, and PID controllers in controlling the level of a liquid. Mass balance is used to find mathematical model of water tank level. Ziegler-Nichol (Z-N) and Cohen-Coon (C-C) tuning methods are used to evaluate parameters of the controllers. The error indices such as Integral Absolute Error (IAE) and Integral Squared Error (ISE) are used to compare between performances of the controllers. MATLAB is used to test the control system performance and compare the results with real values. Both simulation and experimental results show that liquid level system can be controlled effectively by using Z-N tuning method. The result shows that the PI controller gives better performance in comparison with P and PID controller.

Steam Pressure of Foaming Machine of Fuzzy PID Control and Simulation

2012 ◽  
Vol 531-532 ◽  
pp. 726-731
Author(s):  
Yue Hua Xiong ◽  
Chun Liang Zhang ◽  
Bai Xiang Fu
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Dynamic Performance ◽  
Steam Pressure ◽  
Fuzzy Pid ◽  
Fuzzy Pid Control ◽  
Tuning Method ◽  
Fuzzy Pid Controller ◽  
Pid Controller Design ◽  
High Control

This paper focus on designing a fuzzy PID controller design about the vapor pressure of the EPE foaming machine parameters, and raise a self-tuning method of PID parameters, and use the fuzzy control toolbox of MATLAB to simulate its control system, which are compared with the simulation of conventional PID controller, the results show the design of fuzzy PID controller have high control precision, small overshoot, good dynamic performance characteristics.

scholarly journals Single loop PID controller design based on optimization algorithms for parallelly connected dc-dc converters

2021 ◽  
Vol 2128 (1) ◽  
pp. 012027
Author(s):  
Allam M. Allam ◽  
A.S. Ibrahim ◽  
Essam Nabil
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Objective Function Value ◽  
Optimization Algorithms ◽  
Systems Dynamics ◽  
Single Loop ◽  
Tuning Method ◽  
Current Sharing ◽  
Pid Controller Design ◽  
Steady State Performance

Abstract This paper addresses a viable single loop PID controller on the bases of optimization algorithms for parallelly connected DC-DC converters to improve current sharing, improve the systems dynamics and guarantee good steady-state performance simultaneously. Because of inconvenience and lack of accuracy of Ziegler-Nichols rule in tuning PID controller parameters, an optimized controller design strategy with the purpose of enhancing the system performance is introduced in this paper. The PID is tuned by the traditional Ziegler -Nichols technique along with three other different algorithms: Genetic algorithm, whale algorithm and grey wolf algorithm. A comparison has been established between these algorithms based on the objective function value, execution time, overshoot, settling time and current sharing. The simulation results were collected to authenticate effectiveness of the proposed techniques and to evaluate the advantages of these optimization algorithms over the traditional tuning method.

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