Real Time Implementation of Model Reference Controller in a Spherical Tank Process (original) (raw)
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Control Of Non Linear Spherical Tank Process With PI-PID Controllers – A Review
This paper focuses on the review of control methods for spherical tank system and tuning of non-linear PI / PID controllers in real time. The control of liquid level in spherical tank is complicated with conventional controllers due to variation in the area of transverse section of the tank. Thus the proposed non-linear PI and PID controllers are simulated and compared with the conventional PI and PID controllers available in the literature for spherical tank system. The proposed controllers are tuned based on Cohen Coon tuning method from the open loop response of the experimental setup of spherical tank in real time. The results of the proposed control methods are presented and compared with the conventional PI and PID controllers. The performance of the proposed control methods are evaluated with time domain specifications. The proposed non-linear PI and PID controller provides better response than the conventional PI and PID controllers for the spherical tank system.
Real Time Implementation of Fuzzy Based Adaptive PI Controller for a Spherical Tank System
International Journal of Simulation Systems Science & Technology, 2013
This paper proposes a new fuzzy adaptive variable digital PI controller for a single input single output non-linear spherical tank level process system. The open loop transfer function models are carried out at three different operating regions and those models are formulated based on the real laboratory scale system. The proposed FAPI controller is a combination of two input two output Fuzzy logic controller and a Variable digital PI controller. The input to the fuzzy controller is error and change in error and its outputs are K P and K I. The PI controller's parameters are estimated on-line based on error and change in error. The real time implementation and control of the process plant is done in MATLAB using VMAT-01 Data Acquisition Module. The objective is to make the output to settle fast with minimum overshoot and the disturbances do not affect the performances of the system.
Non Linear Spherical Tank Control Using IMC Tuning Method
Controlling the nonlinear tank is very difficult. Because nonlinear tank have variation in area of cross section. The aim of this paper is to implement optimum controller for a spherical tank. The objective of the controller is to maintain the level inside the process tank in a desired value. The real time implementation of the process is designed and implemented in MATLAB using data acquisition module. The identified mathematical model is in the form of first order plus delay time process (FOPDT).[1] The controller design is compared with different controller tuning methods. The best controlling methods is determined based on no overshoot, better set point tracking, faster settling time and lower performance indices.[1].
International Journal of Computer Applications, 2013
Control of nonlinear process is a complicated task in industrial environment. In this work, adaptive control technique is discussed in control of single conical tank level control system is a nonlinear system is identified mathematically. Analytical modeling were implemented and simulated in MATLAB SIMULINK and transfer function isobtain from the simulated response and PI controller parameter were derived for implementing gain scheduling adaptive controller and synthesis based method is used to obtain PI parameters for multiple linear models. The simulation studies were carried out for two controller parameters. From the results based on Performance indices like Integral Squared Error (ISE), it is proved the controller implemented using gain scheduling adaptive control technique out performs well over synthesis method based tuned multi PI controller.
Design of Model Reference Adaptive Controller for Cylinder Tank System
2018
In process industries, liquid level control is mandatory. The conventional PID controller (Proportional-Integral-Derivative controller) is mostly used in process industries for level control. In this paper, the mathematical model of cylindrical tank interacting and non-interacting system is obtained. To control the liquid level in the tank, Model Reference Adaptive Controller(MRAC) is employed. The design, implementation and performance evaluation are demonstrated via Matlab/Simulink. For performance analysis, the PID controller is designed and is compared with the proposed MRAC. The simulation results shows that MRAC gives better transient performance.
IJERT-Design of Model Based Controller for a Non-Linear Process
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/design-of-model-based-controller-for-a-non-linear-process https://www.ijert.org/research/design-of-model-based-controller-for-a-non-linear-process-IJERTV3IS11058.pdf Control of process parameters is one of the important role in process industry. The process considered here is conical tank liquid level system. Control of liquid level in a conical tank is a challenging issue due to the nonlinear variation in the area of cross section. Identification of the non-linear process is done using mathematical modeling and found to be first order plus dead time model. Then control schemes were used to obtain controller parameters Here initially Proportional plus integral (PI) controller based on Ziegler Nichols (ZN) method is designed and the results are compared with I nter nal model Co ntrol (IMC). Better controller performance and error can be minimized by using IMC than that of the ZN tuned PI controller. IMC gives better performance in tracking the set point and load changes with faster settling time and exhibit less overshoot.
A New Approach of Control Strategy for a Spherical Tank Level Process
2015
The control of spherical tank level process is complex because of its dynamics are highly nonlinear and time varying with change in gain of several orders. Hence in this work, modeling and control of spherical tank level process is considered. The mathematical model of spherical tank level process is developed and a fuzzy clustering based control system is proposed for a spherical tank level process. The dynamics of the process are derived from the differential equation and worst case model parameters are identified by influencing the step test technique. Here Recursive Least Squares (RLS) fitting method is also adapted to yield the optimized PI controller parameters. The simulation results are furnished to illustrate the effectiveness of proposed controller.
Simple tuned adaptive PI controller for conical tank process
This paper proposes an idea for designing a continuously tuned adaptive PI controller for a non-linear process such as conical tank. In this paper, a simple tuning system is used to continuously tune the controller parameters in correspondence with the change in operating points. For each stable operating point, a FOPTD model was identified using process reaction curve method. The estimated model parameters are used to calculate the controller parameters for each operating points. Based on these calculated controller parameters and its operating points, a tuning system was created. The tuning system will able to interpolate and extrapolate the relation between control variable and the controller parameters over entire span of control variables. Finally, a detailed time-domain modeling of the conical tank was performed. Then the adaptive PI controller was implemented in Matlab and was simulated to verify its performance. Thus the adaptive controller was able to produce a consistent response regardless of parametric variations with minimum overshoots and minimum settling time.
Level control of Conical Tank Process using ANFIS based Model Reference Adaptive PID controller
This paper describes the design and implementation of ANFIS based Model Reference Adaptive PID controller for a nonlinear Conical Tank Level System (CTLS). The control structure is established on a CTLS. The mathematical model of CTLS is developed and an ANFIS based Model Reference Adaptive PID Controller is proposed for this level system. The result of proposed controller is compared with MRAC-PID and conventional PID to analyze the performance in terms of integral square error and Integral absolute error. The results proved that the efficiency of proposed controller.
Passivity based Approach for the Level Control of Spherical Tank Process
International Journal of Engineering Sciences, 2020
The aim of this paper is to obtain the mathematical model and the real time model of the Single Input Single Output (SISO) conical tank system. The experimental model is obtained from the open loop response in real time and the transfer function is obtained using the two point method. For the real time model, two different controllers namely Zeigler Nichols tuned PI controller and passivity based controller are designed and tested in simulation and the performance of both the controllers are tested for servo operation and regulatory operation. The designed controllers are tested in Simulation and the response is recorded. The simulation results shows that the Passivity based Controller works better for the spherical tank process.