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.

scholarly journals RGA Based Decoupler Design for a Coupled Tank MIMO Process

2019 ◽  
Vol 8 (9) ◽  
pp. 23-26
Keyword(s):  
Process Control ◽  
Mathematical Models ◽  
Detailed Analysis ◽  
Flow Rate ◽  
Pi Controller ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Relative Gain ◽  
Relative Gain Array

The objective of this paper is to develop the Relative Gain Array (RGA) based Decoupler design with PI Controller for a MIMO Process. The contrsoller 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 PI Controller with Decoupler 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.

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.

Augmented Input-Output Internal Model Control of a Simulated Industrial Evaporator

2000 ◽  
Vol 33 (10) ◽  
pp. 605-610
Author(s):  
K.M. Kam ◽  
M.O. Tadé ◽  
Y.C. Tian ◽  
G.P. Rangaiah
Keyword(s):  
Internal Model ◽  
Internal Model Control ◽  
Input Output ◽  
Model Control

scholarly journals Sliding Mode Control Based on Internal Model for a Non-minimum phase Buck and Boost Converter

Enfoque UTE ◽  
2019 ◽  
Vol 10 (1) ◽  
pp. 41-53
Author(s):  
Byron Cajamarca ◽  
Óscar Camacho Quintero ◽  
Danilo Chávez ◽  
Paulo Leica ◽  
Marcelo Pozo
Keyword(s):  
Sliding Mode Control ◽  
Internal Model ◽  
Sliding Mode ◽  
Pi Controller ◽  
Boost Converter ◽  
Internal Model Control ◽  
Minimum Phase ◽  
Mode Control ◽  
Model Control ◽  
Control Schemes

This work presents the application of different schemes to control a non-minimum phase Buck-Boost converter. Three control schemes are used. The first controller presented is a PI controller, the second one is Sliding Mode Control and the third one is a combination of two control schemes, Internal Model Control and Sliding Mode Control. The controllers are designed from a Right-Half Plane Zero (RHPZ) reduced order model. The RHPZ model is converted, using Taylor approximation, in a First Order Plus Dead Time (FOPDT) model and after that, the controllers are obtained. The performance of the SMC-IMC is compared against to a PI controller and a SMC. The simulation results show that SMC-IMC improves the converter response, reducing the chattering and presenting better robustness for load changes

Generalized Internal Model Control for Balancing Input/Output Disturbance Response

2011 ◽  
Vol 50 (19) ◽  
pp. 11170-11180 ◽  
Author(s):  
S. Alcántara ◽  
C. Pedret ◽  
R. Vilanova ◽  
S. Skogestad
Keyword(s):  
Internal Model ◽  
Internal Model Control ◽  
Input Output ◽  
Model Control ◽  
Disturbance Response

Adaptive Control Scheme for Coupled Tank Process

2018 ◽  
pp. 89-95
Author(s):  
Vinodhini M.
Keyword(s):  
Adaptive Control ◽  
Nonlinear Behaviour ◽  
Simulation Studies ◽  
Input Output ◽  
Control Scheme ◽  
Direct Model ◽  
Multivariable Process ◽  
Model Reference Adaptive ◽  
Siso System ◽  
Adaptive Control Scheme

The objective of this paper is to develop a Direct Model Reference Adaptive Control (DMRAC) algorithm for a MIMO process by extending the MIT rule adopted for a SISO system. 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 adaptive techniques such as DMRAC control 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 multivariable process that exhibits nonlinear behaviour.

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