Simulated Design of Water Level Control System (original) (raw)

Design of a Fuzzy Logic Based Controller for Fluid Level Application

World Journal of Engineering and Technology, 2016

In industrial process control, fluid level control is one of the most basic aspects. Many control methods such as on-off, linear and PID (Proportional Integral Derivative) were developed time by time and used for precise controlling of fluid level. Due to flaws of PID controller in non-linear type processes such as inertial lag, time delay and time varying etc., there is a need of alternative design methodology that can be applied in both linear and non-linear systems and it can be execute with fuzzy concept. By using fuzzy logic, designer can realize lower development cost, superior feature and better end product. In this paper, level of fluid in tank is control by using fuzzy logic concept. For this purpose, a simulation system of fuzzy logic controller for fluid level control is designed using simulation packages of MATLAB software such as Fuzzy Logic Toolbox and Simulink. The designed fuzzy logic controller first takes information about inflow and outflow of fluid in tank than m...

Stabilization of liquid level in a tank system based on fuzzy logic controller

IAES International Journal of Robotics and Automation (IJRA)

Process industry needed a fast executed automatic control system capable of handling uncertain, vague problems and nonlinear control variables. Liquid level control is one of the emerging control problems getting the interest of technical experts in the area of control. This paper is based on a fuzzy logic control strategy to maintain and stabilize the liquid level in a tank system that deals with pumping of liquid in tanks as well as regulating liquid level and pushing off the liquid into another tank. Fuzzy controller attains optimum performance by eliminating perturbation in steady state and vanishing the overshoot as compared to proportional, integral, and derivative (PID) controller. The proposed fuzzy logic controller shows minimal steady error as compared to PID controller. The defuzzification of the proposed scheme is based on the centroid method to obtain optimum results. The settling time is nearly 50 second while using fuzzy logic control as compared to 80 seconds in PID ...

Design and Implementation of a Water Level Controller using Fuzzy Logic

2013

This paper analyzes the effectiveness of water level control using fuzzy logic. The water level in the tank is sensed using transistor switching principle. The level sensed is fed to the PIC16 microcontroller. The user provides the set point to the microcontroller through serial communication using the COM development port software, Terminal. It computes the error as the difference between the set point and the process variable. The fuzzy logic programmed in the microcontroller is applied which controls the water level in the tank using the drain and the feed pumps. Once the set point has been reached, the message along with the present level is sent back through serial communication to the user interface on a PC. Thus, the water level in the tank is controlled according to the set point given by the user. The implementation of a fuzzy level controller has many applications such as boiler drum level control, reverse osmosis plant, demineralisation plant etc.

The Application of Fuzzy Control in Water Tank Level Using Arduino

Fuzzy logic control has been successfully utilized in various industrial applications; it is generally used in complex control systems, such as chemical process control. Today, most of the fuzzy logic controls are still implemented on expensive high-performance processors. This paper analyzes the effectiveness of a fuzzy logic control using a low-cost controller applied to a water level control system. The paper also gives a low-cost hardware solution and practical procedure for system identification and control. First, the mathematical model of the process was obtained with the help of Matlab. Then two methods were used to control the system, PI (Proportional, Integral) and fuzzy control. Simulation and experimental results are presented.

Designing of Fuzzy Logic Controller for Liquid Level Controlling

International Journal of u- and e-Service, Science and Technology, 2015

In control system there are a number of general systems and methods which are encountered in all areas of industry and technology. There are many ways to control any system, in which fuzzy is often the very best way. The only reason is faster and cheaper. One of successful application that is used for the controlling of liquid level is fuzzy logic controller. In order to find the best design to stabilize the liquid level in this method, some factors will be considered. For this paper, the liquid level was controlled by using three rules of membership function which then extended to five rules, seven rules and nine rules for verification purpose and further improvement of the system. This paper was focused to the software part only. By doing some modification in this paper, the design will be very useful for the system relates to liquid level control that widely use in industry nowadays. For a long time, the selection and definition of the parameters of PID controller are very difficult. There must be a bad effect if you do not choose nicely parameters. To strictly limit the overshoot, the use of Fuzzy controller can achieve a great control cause. In this paper, we take the liquid level water tank, and use MATLAB to design a Fuzzy Controller. Then we analyze the control effect and compare it with the effect of PID controller. As a result of comparing, Fuzzy Logic Controller is superior to PID controller. Comparison of the control results from these two systems indicated that the Fuzzy logic controller significantly reduced overshoot and steady state error.

Artificial Intelligence Based Liquid Level Control of Coupled Tanks using Fuzzy Logic Controller

2015

This paper investigates the usage of Artificial Intelligence using Fuzzy Logic Controller (FLC) in controlling the liquid level in the second tank of Coupled-Tanks plant through variable manipulation of liquid pump in the first tank. System modelling involves developing a mathematical model by applying the fundamental physical laws of science and engineering. Simulation studies are then conducted based on the developed model using MatlabR2012a for Simulink. In this papers also study behaviour system in terms of time response (e.g., steady state error, a certain rise-time, and overshoot) and compare FLC adverse PID controller.

A Robust Fuzzy Logic Control of Two Tanks Liquid Level Process

— An attempt has been made in this paper to analyze the efficiency of Fuzzy Logic, PID controllers on Non Interacting Two Tanks (Cylindrical) Liquid Level Process. The liquid level process exhibits Nonlinear square root law flow characteristics. The control problem formulated as level in second tank is controlled variable and the inlet flow to the first tank is manipulated variable. The PID Controller is designed based on Internal Model Control (IMC) Method. The Artificial Intelligent Fuzzy logic controller is designed based on six rules with Gaussian and triangular fuzzy sets. MATLAB-Simulink has been used to simulate and verified the mathematical model of the controller. Simulation Results show that the proposed Fuzzy Logic Controller show robust performance with faster response and no overshoot, where as the conventional PID Controller shows oscillations responses for set point changes. Thus, the Artificial Intelligent FLC is founded to give superior performance for a Non linear problem like two tanks. This paper will help the method suitable for research findings concerning on two tank liquid level system. Keywords—Fuzzy Logic Controller, MATLAB– Simulink, PID and Two tank Non-interacting level system.

Fuzzy controller for adjustment of liquid level in the tank

This paper presents the fuzzy controller for adjustment of liquid level in the tank and presents the theoretical concepts of triangular fuzzy numbers mathematics. Using the fuzzy controller will be maintained constant the liquid level. The fuzzy controller was elaborated by authors in MatLab program and operation was simulated in SIMULINK program.

Application the Control in Tanks Using Fuzzy Theory

The control of liquid level in tanks and flow between tanks is a basic problem in the process industries. The process industries requere liquids to be pumped, store in tanks, then pumped to another tank. Through the use of Fuzzy Logic can control any process, in order to overcome the limitation imposed by the difficulty in obtaining accurate parameters of a conventional PI controller. In this paper, control is performed liquid level present in two water tanks QUANSER attached, and used the theory of fuzzy sets applied to the environment of high-level programming in MATLAB a for the design of Fuzzy Controller. In order to prove the effectiveness of the proposed control model, a comparison is made between the response of the controlled system exclusively by proportional integral (PI) to that obtained with the application of Fuzzy Controller, where you can observe the superiority of the latter in relation to conventional control.

A Simplified Fuzzy Logic Liquid Level Control System

2016

This paper describes the design of a simple fuzzy logic liquid level controller. The proposed controller takes the liquid quantity as its input and generates appropriate flow rate on the output. The controller is tested on a cylindrical shaped tank with inlet and outlet valves. The liquid in the tank is sensed with the help of an ultrasonic sensor mounted above the tank. On entering the required liquid quantity with the help of keypad, fuzzy logic controller adjusts the valve opening and closing in order to supply the desired liquid amount. The performance of the controller is also compared with the proportional control and it is found that fuzzy logic controller is better choice owing to its smoothness and accuracy. The experimental setup can be used to teach various fuzzy inference systems in real time.