Simple tuned adaptive PI controller for conical tank process (original) (raw)
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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.
Controller Tuning Method for Non-Linear Conical Tank System
In this paper, we propose a new technique for implementing optimum controller for a conical tank. The objective of the controller is to maintain the level inside the process tank in a desired value. Hence an attempt is made in this paper as Internal Model Based PID controller design for conical tank level control. For each stable operating point, a first order process model was identified using process reaction curve method. The real time implementation is done in Simulink using MATLAB. The experimental results shows that proposed control scheme have good set point tracking and disturbance rejection capability.
The Control of nonlinear process is a complicated task in industrial environment. In this paper, gain scheduled adaptive PI controlling technique to control the level in a single conical tank system has been used. Analytical modeling has been carried out and transfer function was obtained and the system has been implemented and simulated in MATLAB SIMULINK. The simulation studies were carried out for gain scheduled adaptive control and were compared with the direct synthesis control method. From the results of rise time of both the systems it is proved the controller implemented using gain scheduling adaptive control technique out performs direct synthesis method based PI controller.
Development of an Adaptive PID Controller for a Nonlinear Process
2019
It is a crucial task to control the head of cone shaped tanks which is widely used in many industries like food manufacturing industries, petroleum industries and hydrometallurgical industries. The nonlinearity due to the tapered bottom area of the tank makes the level control in the conical tank the toughest task. The conventional controllers will not give a clear solution for this case. Obtaining the equilibrium conditioning by balancing the inflow rate and the out flow rate is the normal level control problem. Different shapes of the tanks implies different equilibrium and operating regimes. The entire system can be divided in to low middle and high regimes in order to consider the system as piece wise linear and varying controller parameters are required at these points. This work deals with development of a suitable controller for such process. This work start with the development of conventional three mode controller and further it is enhanced with Internal Model Controller an...
Design of a model reference adaptive PID control algorithm for a tank system
International Journal of Electrical and Computer Engineering (IJECE), 2021
This paper describes the design of an adaptive controller based on model reference adaptive PID control (MRAPIDC) to stabilize a two-tank process when large variations of parameters and external disturbances affect the closed-loop system. To achieve that, an innovative structure of the adaptive PID controller is defined, an additional PI is designed to make sure that the reference model produces stable output signals and three adaptive gains are included to guarantee stability and robustness of the closed-loop system. Then, the performance of the model reference adaptive PID controller on the behaviour of the closed-loop system is compared to a PI controller designed on MATLAB when both closed-loop systems are under various conditions. The results demonstrate that the MRAPIDC performs significantly better than the conventional PI controller. Keywords: Adaptive Linearization MIT MRAPIDC Nonlinear Parameters Stability This is an open access article under the CC BY-SA license. 1. INTRODUCTION Adaptive control of uncertain processes has become more and more important in industry. Adaptive controllers differ from ordinary ones, because their parameters are variable, and there is a mechanism for adjusting these parameters online based on signals in the system [1]. The design of an adaptive PI controller to stabilize a mass damper-spring system under parameters' uncertainties was proposed in [2]. The designed adaptive PI controller adjusts to parameters' variations, and the output of the process follows the set points, regardless of the values of the parameters. But it does not guarantee stability when external disturbances and large variations of parameters occur. In [3], the design of a PID controller on MATLAB to maintain the level of liquid constant in a coupled-tank system (CTS) was proposed. The control parameters were found using the trial and error methodology and the results were analysed in MATLAB/Simulink environments. Proportional (P), proportional integral (PI), proportional derivative (PD) and proportional integral derivative (PID) controllers were applied on the process and their performances were compared to select the most suitable control solution. The PID controller showed superior results, but it did not guarantee stability to disturbances and variations of plant parameters. Adaptive controllers, as opposed to conventional constant gain controllers (PID controllers), are very effective in handling situations where the variations of parameters and environmental changes are very frequent with the application of model reference adaptive control scheme in a first order system [4].
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.
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.
Intelligent Controllers for Conical Tank Process
2014
Level control is an important control objective in process industries. Determining the optimal controller is vital, as it result in precise control of liquid level in the conical tank. The conventional PID controllers are used which will not provide a satisfactory control for various operating conditions. To overcome these difficulties, an intelligent controller is to be proposed. The objective of this project is to implement an intelligent controller for conical tank process. A Fuzzy Logic, Fuzzy PI and Neural Network controllers are implemented. Each controller is constructed based on the data collected from the process. The optimal control is identified as the Neural Network controller based on the performance indices such as settling time and overshoot.
IJERT-Intelligent Controllers for Conical Tank Process
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/intelligent-controllers-for-conical-tank-process https://www.ijert.org/research/intelligent-controllers-for-conical-tank-process-IJERTV3IS20586.pdf Level control is an important control objective in process industries. Determining the optimal controller is vital, as it result in precise control of liquid level in the conical tank. The conventional PID controllers are used which will not provide a satisfactory control for various operating conditions. To overcome these difficulties, an intelligent controller is to be proposed. The objective of this project is to implement an intelligent controller for conical tank process. A Fuzzy Logic, Fuzzy PI and Neural Network controllers are implemented. Each controller is constructed based on the data collected from the process. The optimal control is identified as the Neural Network controller based on the performance indices such as settling time and overshoot.
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.