Tank Liquid Level Control Research Articles

Fuzzy PID Controller Design for a Coupled Tank Liquid Level Control System

In industrial processes, the most important loop is the liquid-level control loop. The coupled tank system CT-100 becomes an essential apparatus for process control researchers. This paper introduces two controller techniques to control the water level in the second tank as a single input single output system. The PID controller is designed to control the linearized model, where the controller parameters are tuned using the Ziegler- Nichols tuning method. In addition, Fuzzy PID is designed based on adequate knowledge and experience. The proposed control approaches are simulated using MATLAB Simulink. Then, the obtained results using these controllers are compared in terms of time response specifications and the ITAE criterion. It is also, tested for step-change tracking signal and disturbance rejection. Finally, the simulation results showed that the Fuzzy PID controller has a robust performance.

Design of Double Tank Liquid Level Control System Based on Fuzzy PID

Liquid level is one of the main parameters in industrial production process control. There are many problems such as interference and delay in the dual capacity water tank. It is usually difficult to meet the strict production requirements with the conventional PID control scheme. The corresponding transfer function is firstly deduced through the material balance equation in this article. By testing, the performance of conventional PID needs to be further improved. Then build the fuzzy PID model in Matlab/simulink and carry out simulation verification. By comparing with the PID simulation effect, the results show that under fuzzy PID control, the overshoot of the system is effectively reduced and the adaptability is strong. It reflects that the control strategy has a good reference value.

Liquid level control in two tanks spherical interacting system with fractional order proportional integral derivative controller using hybrid technique: A hybrid technique

This paper proposes a Liquid Level Control in two tanks spherical interacting system (TTSIS) with Fractional Order Proportional Integral Derivative (FOPID) controller using hybrid system. The proposed approach is the consolidation of chaotic Henry gas solubility optimization (CHGSO) and Feedback Artificial tree (FAT), and later it is known as CHGSO-FAT technique. The FOPID controller is modeled as Fractional Order System for a spherical tank's liquid level control. The Spherical tank system is important in nonlinear operation, because its variation on the radius of tank and the interaction of the two tanks with FOPID sliding surface. Moreover, FOPID controller is proposed the system output is directly used to tune the system parameters. The proposed controller is enhanced by increasing the fractional values of the derivative term FOPID sliding surface. The performance indices, as settling time, rise time, peak overshoot and peak time is analyzed. The proposed system is performed on MATLAB/Simulink working platform. The mean, median and standard deviation for 100 iterations with proposed system is 0.338, 0.4173 and 0.00334.

RETRACTED: Cuckoo Search Optimization based PI Controller Tuning for Hopper Tank System

The paper work focuses on soft computing and Conventional controller tuning approach to design of PI controller, for a nonlinear hopper tank liquid level control system process Industries. The automation industries provide conventional techniques where it is impossible to maintain its settling time which motivates to do the research in this field. The system processes the combination of a conical and cylindrical tank for providing Multi-region based mathematical modelling to obtain the first order with delay time (FOPDT) process transfer function model. The Ziegler Nichols, Cohen-coon, Tyreus Luben, CHR (Chien, Hrones, and Reswick), IMC (Internal Model Control), Direct Synthesis, FOPI(Fractional Order PI) Conventional tuning formulae and Cuckoo Search Optimization (CSO) algorithm are used to optimize the servo regulatory responses of PI controller. The integral and proportional gain of the PI controller is said to produce the fastest settling time and reduces the error using performance indices and achieves Liquid Level control in hopper tank. Comparison is made for the various conventional controller tuning methods with Cuckoo Search Optimization tuning responses and identified to CSO-PI method offers enhanced Optimized Performance of settling time which was about 105.58 s which is relatively less while comparing to Conventional PI controller tuning methods for a different region based system.

Implementation of PID controller for liquid level system using mGWO and integration of IoT application

Industrial automation is a multi-disciplinary study field that is constantly evolving. This research proposes IoT-based real-time liquid level monitoring and control in a single tank system. A PID controller with parameters sets using a novel modified Grey Wolf Optimization (mGWO) algorithm is used to manage the liquid level. The PID controller was then built on the ESP32 microcontroller module, and an android-based application was created utilizing the Blynk platform for IoT plant monitoring and control. The mGWO algorithm is used in MATLAB to optimize the Kp, Ki, and Kd values of PID controller parameters. The Arduino IDE is used to create the microcontroller programing as well as the interface for the Android application to the ESP32 microcontroller module. The results reveal that a single tank liquid level control system based on mGWO outperforms Ziegler–Nichols and SIMC tuning approaches. Furthermore, the adoption of an IoT application-based user interface boosts the plant’s control and monitoring flexibility.

Design of liquid level control system for double tank

In order to control the liquid level in the chemical production process, a PID control theory algorithm is proposed. Firstly, by constructing a double-capacity water tank liquid level control system, the mathematical model of the double-capacity water tank was deduced and constructed through many experiments. The simulation was carried out by Matlab Simulink software, and the dynamic and static characteristics of the double tank water level control system were analyzed based on the simulation results. The Labview software was used to write the algorithm of the double tank water level control system. The USB-6008 data acquisition card and the DAQ data acquisition assistant were used to complete the connection of the experimental hardware and software. The actual liquid level curve was obtained through experiments. The experimental results show that the designed system can keep the liquid level of the lower tank of the double tank level within the set value, and the floating does not exceed 5%, which achieves the predetermined steady state effect.

Real time fractional-order control technique for coupled tank liquid level control process

Real time fractional-order control technique for coupled tank liquid level control process

Implementation of an adaptive fuzzy compensator for coupled tank liquid level control system

In this paper, an adaptive fuzzy control (AFC) system is proposed to realize level position control of two coupled water tanks, often encountered in practical process control. The fuzzy control system includes an adaptive model identifier and controller. The gains of AFC are obtained by using the fuzzy identifier model which is defined by real system outputs and control inputs. The parameters of fuzzy identifier model are adjusted online by using recursive least square algorithm. Because the controller has a recursive form it treats model uncertainties and external disturbances in an implicit way. Thus there is no need to specify uncertainty and disturbances for this controller design in advance. A well-tuned conventional proportional integral (PI) controller is also applied to the two coupled tank system for comparison with the AFC system. 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. Experimental results prove that the AFC 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 AFC with respect to water level variation and capability to eliminate external disturbances are also achieved. Experimental results show that AFC is a strong and a practical choice for liquid level control.

Comparative Analysis of ANN based Intelligent Controllers for Three Tank System

Three tank liquid level control system plays a significant role in process industries and its behavior is nonlinear in nature. Conventional PID controller generally does not work effectively for such systems. This paper deals with the design of three intelligent controllers namely model predictive, model reference and NARMA-L2 controllers based on artificial neural networks for a three tank level process. These controllers are simulated using MATLAB/SIMULINK. The performance indices of intelligent controllers are compared based on the time domain specifications. The performance of NN predictive controller shows superiority over other controllers in terms of settling time.

Optimized PIDI2D2 Controller Based on Genetic Algorithm for Three-tank Liquid Level Control System

This paper considers the optimized PIDI2D2 controller based on genetic algorithm for three tank liquid level control systems. The process control of the liquid level inside the tank is an important issue for today's industrial processes due to the requirement of mixing the liquid components. Thus, the designing and implementation of the controllers for such a system are major problems which need to be considered. At the moment, most controllers using in the process control are basic PID controllers. However, sometimes the poor performance for the system with PID controller will be acquired; i.e., the slow settling time and high overshoot. Therefore, this paper proposes an efficient method of tuning controller PIDI2D2 parameters by using genetic algorithm (GA). According to the proposed technique in this paper, the simulation results that the improvement of the settling time and overshoot for the system is obtained by comparing with the tuning controller PID parameters based on GA and PSO techniques.

The Research on the System of Double-Holding Water Tank Liquid Level Control with the PID Control

Double tank level control system is the combined control with the host computer and basic instrument, and it realizes the communicative function through monitoring and management. The object of this topic is mainly on double-tank system, then gets the theoretical parameters PID through measuring the characteristic curves of the water level, and finally use MCGS configuration software on PC, for further interaction interface to the parameters tuning of double-holding water tank system and to set the parameters. After reaching the expected target, on the base of routine control PID, we can improve the system function by forming the double loop system and control the liquid level of the water bank better. The two tank liquid level control is made as the core control system by computer and as one kind of fashionable trends.

The application of chattering-free sliding mode controller in coupled tank liquid-level control system

A chattering-free sliding mode controller (CFSMC) is proposed to realize level position control of liquid level system for two coupled water tanks, as is often encountered in practical process control. The controller is used due to its robustness against large parameter variation, disturbances rejection and reduction in chattering. Experimentation of the coupled tank system is realized in two different configurations: configuration 1 and configuration 2. In configuration 1, the water level in the top tank is controlled by a pump. In 2, the water level in the bottom tank is controlled by the water flow coming out of the top tank. The validity of the proposed controller is verified by means of a practical testing on an experimental liquid level control device.

An Implementation and Comparative Analysis of PID Controller and their Auto tuning method for Three Tank Liquid Level Control

industrial control systems the liquid level is carrying its significance as the control action for level control in tanks containing different chemicals or mixtures is essential for further control linking set points. The three level control models are considered in our work. In conventional model for three tank liquid level, the control is done with conventional control PID model. The auto tuning technique of PID controller is adopted for more reliable and precise control action which incorporate the uncertain factors also. In this work the comparison of the conventional PID and auto tuning is clarified.

Fuzzy Equation Based Simulation of a Liquid Level Control System

Fuzzy equation based modelling is a technique that can be used to reason explicitly with both imprecision and uncertainty, both of which must be accounted for if accurate predications of real world behaviour are to be made. This paper details the application of fuzzy equation based models in the form of Fuzzy Differential Equations (FDEs), to the modelling of a tank liquid level control scheme.