CONTROL OF A COUPLED TANK SYSTEM USING PI CONTROLLER WITH ADVANCED CONTROL METHODS

2016 ◽  
Vol 78 (7-4) ◽  
Author(s):  
Ling Nai Ho ◽  
Norhaliza Abdul Wahab ◽  
Ibrahim A. Shehu ◽  
A. Alhassan ◽  
I. Albool ◽  
...  
Keyword(s):  
Process Control ◽  
Gain Scheduling ◽  
Pi Controller ◽  
Internal Model Control ◽  
Liquid Level ◽  
Pole Placement ◽  
Advanced Process Control ◽  
Tuning Method ◽  
Model Control ◽  
Tank System

The liquid level control in tanks and flow control between cascaded or coupled tanks are the basic control problems exist in process industries nowadays. Liquids are to be pumped, stored or mixed in tanks for various types of chemical processes and all these require essential control and regulation of flow and liquid level. In this paper, different types of tuning methods are proposed for Proportional-Integral (PI) controller and are further improved with integration of Advanced Process Control (APC) method such as feedforward and gain scheduling to essentially control the liquid level in Tank 2 of a coupled tank system. The MATLAB/Simulink tools are used to design PI controller using pole-placement, Ciancone, Cohen Coon and modified Ziegler-Nichols tuning method with Cohen Coon tuning method found to have a better performance.  Advanced process control such as feedforward-plus-PI, Gain Scheduling (GS) based PI, Internal Model Control (IMC) based PI, feedforward-plus-GS-based PI and feedforward-plus-IMC-based PI controllers are further tested as improvement version to further compare the significance of the advanced process control outcomes hence GS-PI, improved GI-base PI-plus FF found to have better performance. The GS method is built over five operating points to approximate the system’s nonlinearity and is eventually combined with feedforward control to yield a much better performance.

scholarly journals Soft Computing Based Tuning of PI Controller With Cuckoo Search Optimization For Level Control of Hopper Tank System

2021 ◽  
Author(s):  
Vinothkumar c ◽  
C Esakkiappan
Keyword(s):  
Soft Computing ◽  
Cuckoo Search ◽  
Pi Controller ◽  
Internal Model Control ◽  
Level Control ◽  
Search Optimization ◽  
Model Control ◽  
Tank System ◽  
Cuckoo Search Optimization ◽  
Tuning Methods

Abstract The paper work focuses on soft computing and Conventional tuning approach to design of PI controller, which provides a better sustainable performance for a nonlinear hopper tank system which is used in Wastewater treatment applications. 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 while comparing to Conventional tuning methods for a region based system.

Improved IMC-filter design and IMC-PI equivalence: Application to quadrotor under gust of wind

2020 ◽  
Vol 234 (9) ◽  
pp. 1060-1072
Author(s):  
Yasser Bouzid ◽  
Houria Siguerdidjane ◽  
Elmehdi Zareb
Keyword(s):  
Internal Model ◽  
Filter Design ◽  
Autonomous Vehicle ◽  
Tracking Error ◽  
Experimental Tests ◽  
Pi Controller ◽  
Internal Model Control ◽  
Model Control ◽  
Tuning Strategy ◽  
The Mathematical Model

As known, internal model control is equivalent to a PI or a PID controller provided that the mathematical model associated to the process to be controlled is of first or second order respectively. So, to go beyond these particular cases and to make an extension in bringing more theoretical results, the article proposes a method to reach the equivalence between an internal model control and a PI controller regardless of the model order. To this end, the key idea consists of using a specific filter that exhibits superior robustness level compared to the classical filter and further leads to get a structure of a PI controller whatever the order of the model is. The developed procedure constitutes the main contribution of this article. To meet given set of specifications, the controller parameters are tuned through a straightforward analytic way using the dynamics of the tracking error. The proposed tuning strategy constitutes another contribution of the article. Furthermore, to evaluate the efficiency level of this procedure, an application to control an autonomous vehicle is described and the simulation results are shown to be satisfactory confirmed by a series of experimental tests.

Model-Based Gain Scheduling Strategy for an Internal Model Control-Based Boost Pressure Controller in Variable Geometric Turbocharger System of Diesel Engines

2016 ◽  
Vol 138 (3) ◽  
Author(s):  
Seungwoo Hong ◽  
Inseok Park ◽  
Myoungho Sunwoo
Keyword(s):  
Diesel Engines ◽  
Internal Model ◽  
Gain Scheduling ◽  
Internal Model Control ◽  
Operating Conditions ◽  
Boost Pressure ◽  
Scheduling Strategy ◽  
Model Based ◽  
Model Control ◽  
Pressure Controller

This paper proposes a model-based gain scheduling strategy of a Skogestad internal model control (SIMC)-based boost pressure controller for passenger car diesel engines. This gain scheduling strategy is proposed with a new scheduling variable to handle the nonlinear variable geometric turbocharger (VGT) plant characteristics. The scheduling variable is derived from the pressure ratio between the exhaust and intake manifolds and the exhaust air-to-fuel ratio to estimate the static gain of the VGT plant, which varies widely with change in the engine operating conditions. The proposed static gain model was designed with the scheduling variable, engine speed, and fuel injection quantity. Compared to the steady-state experimental data, the static gain model showed an R-squared value of 0.91. The boost pressure controller had the proportional-integral (PI) structure to allow for online calibration, and the PI gains were determined using the SIMC method. The proposed static gain model for the VGT plant was integrated into the SIMC control structure to obtain the appropriate control gains under wide engine operating area. The proposed control algorithm was compared with a fixed gain boost pressure controller through various step tests of the desired boost pressure. The fixed gain controller showed a large overshoot of 64% when the exhaust gas recirculation (EGR) operating condition was changed. In contrast, the proposed gain scheduled boost pressure controller reduced the overshoot to 12%. The model-based gain scheduling strategy successfully adjusted the control gains to achieve consistent control performance under various engine operating conditions.

Design and Simulation of IMC based PI Controller for a MIMO Process

2018 ◽  
pp. 57-63
Author(s):  
Ravikumar C ◽  
Sivakumar D
Keyword(s):  
Mathematical Models ◽  
Detailed Analysis ◽  
Flow Rate ◽  
Internal Model ◽  
Pi Controller ◽  
Internal Model Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Model Control

The objective of this paper is to develop the Internal Model Control (IMC) based PI Controller for a MIMO (SISO) Process. The controller thus developed is implemented on Laboratory interacting coupled tank process through simulation. This can be regarded as the relevant process control in petrol and chemical industries. These industries involve controlling the liquid level and the flow rate in the presence of nonlinearity and disturbance which justifies the use of IMC based PI Controller scheme. For this purpose, mathematical models are obtained for each of the input-output combinations using white box approach and the respective controllers are developed. A detailed analysis on the performance of the chosen process with these controllers is carried out. Simulation studies reveal the effectiveness of proposed controller for MIMO process that exhibits nonlinear behaviour.

PID Controller Design for Two Tanks Liquid Level Control System Using Matlab

2015 ◽  
Vol 5 (3) ◽  
pp. 436 ◽  
Author(s):  
Mostafa Abdul Fellani ◽  
Aboubaker M. Gabaj
Keyword(s):  
Pid Controller ◽  
Controller Design ◽  
Liquid Level ◽  
Level Control ◽  
Process Industries ◽  
Tuning Method ◽  
Pid Tuning ◽  
Tank System ◽  
Pid Controller Design ◽  
Tuning Methods

The industrial application of Coupled Tank System (CTS) is widely used especially in chemical process industries. The control of liquid level in tanks and flow between tanks is a problem in the process technologies. The process technologies require liquids to be pumped, stored in tanks, and then pumped to another tank systematically. This paper presents development of Proportional-Integral-Derivative (PID) controller for controlling the desired liquid level of the CTS. Various conventional techniques of PID tuning method will be tested in order to obtain the PID controller parameters. Simulation is conducted within MATLAB environment to verify the performances of the system in terms of Rise Time (Ts), Settling Time (Ts), Steady State Error (SSE) and Overshoot (OS). The trial and error method of tunning will be implemented and all the performance results will be analyzed using MATLAB. It has been demonstrated that performances of CTS can be improved with appropriate technique of PID tuning methods.

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