Coupled Tank Liquid Level System Research Articles

An intelligent self-tuning fuzzy-PID controller to coupled tank liquid level system

An intelligent self-tuning fuzzy-PID controller to coupled tank liquid level system

Model-based Dynamic Fractional-order Sliding Mode Controller Design for Performance Analysis and Control of a Coupled Tank Liquid-level System

In this paper, a model-based dynamic fractional-order sliding mode controller (FOSMC) is designed and implemented to a coupled tank experimental setup for controlling the liquid level. ...

A Robust Decentralized PID Controller Based on Complementary Sensitivity Function for a Multivariable System

This brief presents design, development and real-time implementation of a robust decentralized PID controller based on complementary sensitivity function through a graphical tuning method for a multivariable system. ${H_{\infty }}$ criterion is adopted to find out the controller parameters of the proposed robust decentralized PI controller. To verify efficacy of the proposed controller, its performance is compared with that of other decentralized PI controllers. The proposed controller is implemented in real-time on a coupled tank liquid level system. From the simulation and experimental results obtained, it is observed that the proposed controller exhibits superior control performance over other decentralized PI controllers.

Design and real‐time implementation of an adaptive fuzzy sliding mode controller for a coupled tank system

AbstractIn this paper, an adaptive fuzzy sliding mode controller (AFSMC) is proposed for regulation of liquid level in a coupled tank system (CTS). In this controller design, a fuzzy variable is considered in the sliding surface in order to reduce the chattering effect. The proposed controller exhibits high robustness against external disturbances and also measurement error. To verify the efficacy of the proposed controller, we compared its performances with that of a linear matrix inequality (LMI)–based proportional integral (PI) controller. The efficacy of the proposed controller is verified by implementing this controller in real time on the coupled tank liquid level system. From both the obtained simulation and experimental results, it is observed that the proposed controller exhibits superior control performance to maintain the desired level as compared with the LMI‐based PI controller.

Real-time implementation of self-tuning regulator control technique for coupled tank industrial process system

This article presents the self-tuning regulator control technique for a coupled tank liquid level system that often used in industry. An autoregressive with exogenous model has been used as the liquid process model with the self-tuning control implementation in order to track the desired tank level trajectories with disturbances and uncertainties of the system dynamics. The designed self-tuning controller has been sensitive to parameter variations of the nonlinear coupled tank system. The parameters of the proposed controller are periodically updated themselves during the process by means of online recursive least square method with the forgetting factor algorithm. In this way, the parameter variations and unwanted disturbances of the system are eliminated in real-time application. In order to demonstrate the efficiency of the self-tuning regulator control technique, the real-time studies have been executed. The obtained experimental results demonstrated that the proposed controller gives the better trajectory tracking performance and smaller magnitude in overshot and undershot than the designed classical proportional–integral and sliding mode controllers.

Control of Coupled Tank Liquid Level System Using Sliding Mode Control

Control of Coupled Tank Liquid Level System Using Sliding Mode Control

Real-Time Application of Sliding Mode Controller for Coupled Tank Liquid Level System

In this paper, real time application of a sliding mode control (SMC) is used for level control of experimental setup of liquid level system due to its properties such as robustness against large parameter variation and disturbances rejection. A well-tuned conventional proportional integral (PI) controller is also applied to the two coupled tank system for comparison with the SMC controller. Experimentation of the coupled tank system is realized in two different configurations, namely configuration #1 and configuration #2 respectively. In configuration #1, the water level in the top tank is controlled by a pump. In configuration #2, the water level in the bottom tank is controlled by the water flow coming out of the top tank. The performance of controllers is analysed according to their tracking performance and error elimination capability for different references applied to the system. Experimental results prove that the SMC shows better trajectory tracking performance than PI controller in that the plant transient responses to the desired output changes have shorter settling time and smaller magnitude overshot/undershoot. Robustness of the SMC with respect to water level variation and capability to eliminate external disturbances are also achieved.

Modelling and Control of Coupled Tank Liquid Level System using Backstepping Method

Modelling and Control of Coupled Tank Liquid Level System using Backstepping Method

Adaptive Fuzzy PI Controller Design for Coupled Tank System:An Experimental Validation

In this paper an adaptive fuzzy PI (AFPI) is proposed for the real- time liquid level control of a coupled tank liquid level system. The parameters, in proposed adaptive fuzzy PI controller are adjusted explicitly by the elected fuzzy rule base. Here the gain of the proposed algorithm is implicitly adapted by the variation of the outputs of FLC. The performance of the proposed controller algorithm has been compared with that of conventional PI controller. From both the simulation as well as experimental results, it is witnessed that the performance of the proposed adaptive fuzzy PI (AFPI) delivers best control action than the widely used conventional PI controller.

Modeling and Controller Design for a Coupled–Tank Liquid Level System: Analysis & Comparison

Sistem yang diuji ialah tangki berkembar yang biasa digunakan dalam proses kawalan industri. Prinsip asas sistem tangki berkembar adalah untuk mengekalkan paras cecair di dalam tangki pada suatu nilai tetap apabila wujud aliran keluar masuk cecair dalam tangki. Analisis tindak balas langkah, analisis pseudorandom binary sequence (PRBS) dan kaedah least square digunakan untuk mengklasifikasikan sistem ini. Objektif utama projek ini adalah untuk menentukan model matematik sistem tangki berkembar menggunakan tiga teknik tesebut. Ia diikuti dengan mereka bentuk pengawal yang terdiri daripada pengawal PID dan pengawal Fuzzy Logic untuk sistem ini. Pada peringkat akhir projek ini, penggunaan kedua-dua pengawal dalam aplikasi industri dibandingkan dan dianalisa. Kata kunci: Pengenalpastian sistem, tindak balas langkah, pseudorandom binary sequence, kaedah least square, pengawal Fuzzy Logic & PID The system under investigation is a coupled-tank apparatus which is a laboratory bench top emulation of a common process in industrial control. The basic control principle of the coupled-tank system is to maintain a constant level of the liquid in the tank when there is an inflow and outflow of water in the tank and outflow of water out of the tank respectively. Classification of this system using system identification technique involved the transient response analysis, the pseudorandom binary sequence (PRBS) analysis and the least square method. The main objective of this project is to determine the mathematical model of a coupled-tank system using these techniques. It follows by designing a controller consists of a PID and a Fuzzy Logic controllers for the system. At the final stage of this project, the usage of both controllers in industrial applications is compared and analyzed. Key words: System identification, step response, pseudorandom binary sequence, least square method, PID & Fuzzy Logic controller