Control Simulation for Three Tank Water Level

2014 ◽  
Vol 513-517 ◽  
pp. 3053-3056
Author(s):  
Le Peng Song ◽  
Di Jian Xu ◽  
Jin Liang Shi ◽  
Bi Jia
Keyword(s):  
Linear Relationship ◽  
Water Level ◽  
Experimental System ◽  
System Model ◽  
Level System ◽  
Level Control ◽  
Third Order ◽  
Object Of Study ◽  
Tank Water ◽  
Tank Level

Three-tank liquid level system of its vessels belonging to non-linear relationship between the coupling. In this paper, three tank level control experimental system as the research object, the establishment of the level system model, and according to the experimental requirements: upper, middle tank to stabilize the value of the lower tank eventually reaches a given value, forming a typical third-order object of study.

scholarly journals An Intelligent Controller of Nonlinear Conical Tank Water Level System

2019 ◽  
Vol 2 (4) ◽  
pp. 458
Author(s):  
Hanan Mohamed Omran ◽  
Ahmed Saad Ali ◽  
Abd El-Fatah Mohamed Hashem ◽  
Ali Abdalla Abdal-hay
Keyword(s):  
Water Level ◽  
Fuzzy Logic Controller ◽  
Level System ◽  
Control Loop ◽  
Cross Section Area ◽  
Section Area ◽  
Tank System ◽  
The Mathematical Model ◽  
Control Water ◽  
Tank Water

The present research presents an intelligent fuzzy logic controller (FLC) system for control water level of nonlinear systems, whereas the cross-section area of the vertical water is not constant (conical tank). The mathematical model of the conical tank level system was derived and its simulation runs were carried out by considering the FLC. For comparative analysis, a similar test runs were also carried out by means of conventional ZN based PI-mode. Interestingly, the results illustrate that applying the FLC system in the control loop in the conical tank system could provide a good tracking performance than that of conventional PI model.

The Simulation on Double Tank Water Level Control Based MATLAB

2012 ◽  
Vol 217-219 ◽  
pp. 1435-1439
Author(s):  
Hai Yan Zhang ◽  
Li Xiang Zhang
Keyword(s):  
Water Level ◽  
Large Time ◽  
Control Method ◽  
Delay System ◽  
System Stability ◽  
Order System ◽  
Level Control ◽  
Fuzzy Pid Control ◽  
Time Delay System ◽  
Tank Water

The paper aims at the simulation on double tank water level control based on MATLAB .Double tank water level control belongs to large time delay system. In this paper, adopted PID method to control the system, Then, fuzzy PID control method was used to adjust this second-order system. And the simulation model of this system is built with MATLAB Fuzzy and SIMULINK. And at the end, analysis the system stability ,reaction velocity and so on.

scholarly journals H infinity and Mu -synthesis Design of Coupled Tanks Level Control

2020 ◽  
Author(s):  
mustefa jibril ◽  
Messay Tadese ◽  
Eliyas Alemayehu
Keyword(s):  
Control System ◽  
Water Level ◽  
Sine Wave ◽  
Reference Level ◽  
Level Control ◽  
H Infinity ◽  
Level Control System ◽  
Mu Synthesis ◽  
Simulation Results ◽  
Tank Water

In this paper, the design and analysis of coupled tank water level control system is done using robust control theory. The main aim of this work is to improve level controlling mechanisms in industries and household areas. In this paper, H and μ synthesis controllers are designed to improve the level control system. The coupled tank water level control system is designed using the proposed controllers comparison and tested for tracking a reference level signals (step, sine wave and random) and simulation results have been analyzed successfully. Finally the comparative simulation results prove the effectiveness of the proposed coupled tank water level control system with H controller for improving the tracking mechanism performance of the system.

scholarly journals H ∞ and μ-Synthesis Design of Coupled Tanks Level Control

2020 ◽  
Author(s):  
Mustefa Jibril ◽  
Messay Tadese ◽  
Eliyas Alemayehu Alemayehu
Keyword(s):  
Control System ◽  
Water Level ◽  
Sine Wave ◽  
Reference Level ◽  
Level Control ◽  
Level Control System ◽  
Synthesis Design ◽  
Mu Synthesis ◽  
Simulation Results ◽  
Tank Water

In this paper, the design and analysis of coupled tank water level control system is done using robust control theory. The main aim of this work is to improve level controlling mechanisms in industries and household areas. In this paper, H ∞ and μ –synthesis controllers are designed to improve the level control system. The coupled tank water level control system is designed using the proposed controller’s comparison and tested for tracking a reference level signals (step, sine wave and random) and simulation results have been analyzed successfully. Finally the comparative simulation results prove the effectiveness of the proposed coupled tank water level control system with H ∞ controller for improving the tracking mechanism performance of the system.

The Research of Predictive Control Algorithm for the Three-Tank Water Level System Based on the Multi-Model

2012 ◽  
Vol 220-223 ◽  
pp. 1199-1202
Author(s):  
Zhen Ping Ji ◽  
Zhan Shi
Keyword(s):  
Control System ◽  
Water Level ◽  
Predictive Control ◽  
Control Algorithm ◽  
Response Characteristic ◽  
Approximate Model ◽  
Cascade Control ◽  
Complex Object ◽  
Level System ◽  
Tank Water

Three-tank water level system has the characteristics of nonlinear, large time delay, time-varying parameters, and the system is broadly representative in the research of non-linear and inertial process control. For the controlled object’s strong-nonlinear characteristic when the liquid level given value changes, a multi-model predictive PID cascade control strategy was presented to improve response performance of the control system. On the basis of analyzing the dynamic characteristics of the object, multiple sub-model of the object was established, and a global approximate model of the complex object was obtained as the predictive model by the weighted sub-model. Owing to the rapid response characteristic of PID control, we built the predictive control PID cascade control system by combining PID algorithm with predictive control. The experiment results show that the control algorithm can achieve good tracking control, and greatly improve dynamic and static performance of the system.

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