Control Schemes of CSTR Process

Control Schemes for CSTR Process Organization of Presentation1.CSTR Process Description 2. Mathematical Modelling3.Linearisation4. Input-Output Modelling5. General SISO and MIMO Control6. Control Schemes a. PI/PID Control (SISO systems) b. Decentralized Control c. Decoupler

d . IMC PID Controle. Model Reference Adaptive Control,etc CSTR Process Description

Mathematical ModellingSteps: Take the mass balance and energy balance equations. With the specific values for each variables in both the equations, one can easily get the transfer function on taking Laplace Transforms Steady state operating data must be assumed properly for the CSTR system

LinearizationControl system design and analysis is based upon linear process representations.Taylors series is most often used to linearize the system around the steady-state operating point.The linearization is explicitly done in mathematical models using the energy and mass balance equations for all the process.

Input-Output Modelling

Steps: Perform the real time experiment with manipulated and controlled variables (For MIMO) and record the values over a specific range Non-linearity would be encountered in the process as the curves representing the input and output variable would be non-linear. System identification toolbox is used for modelling this type of case using ident command The system can be modelled based on the highest best fits value (%). Obtain the transfer functionGeneral SISO and MIMO ControlDecentralized Control Scheme Advantages:1.Each loop is treated independently2.There is no high risk of failure

Decoupled Control SchemeAdvantages:1. Interaction free control is achieved2. Efficient and commonly used control strategy in process industries

IMC PID ControlAdvantages:1. Faster response2. Robustness

Model Reference Adaptive Control

Advantages:1. Reference tracking is completely ensuredThank you