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Modeling and Control of Non-Linear CSTH Process using Hybrid Optimized Technique

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Title Modeling and Control of Non-Linear CSTH Process using Hybrid Optimized Technique
 
Creator Dhanasekar, R
Vijayachitra, S
 
Subject Fmin search
Genetic algorithm
Multiple input multiple output
Pattern search algorithm
PID controller
 
Description 34-45
The highly non-linear Continuous Stirred Tank Heater process (CSTH) is modeled using appropriate process dynamics
by considering multivariable factors in all chemical industries using Multi-Input Multi-Output (MIMO) system to prepare an
extremely saturated solution with the required conditions. The model's transfer function and state space are created by
applying the first principle method to successfully regulate the Level and Temperature of the CSTH process using specified
time-domain parameters and a suitable conventional Proportional Integral Derivative (PID) controller. The Ziegler-Nichols
method aims to estimate gain factor for controller. However, more effective and efficient control of the process is still
required. Advanced optimization approaches such as Genetic Algorithm, Pattern Search, Fmin Search, and Hybrid
Optimization Algorithm are more commonly used to fine-tune the controller's gain factor. Finally, a quantitative example is
provided using a MATLAB simulation result to highlight the benefits and applicability of the proposed approach.
The obtained result is validated by the experimental data from the real-time Process.
 
Date 2024-01-08T11:49:08Z
2024-01-08T11:49:08Z
2024-01
 
Type Article
 
Identifier 0022-4456 (Print); 0975-1084 (Online)
http://nopr.niscpr.res.in/handle/123456789/63177
https://doi.org/10.56042/jsir.v83i1.2440
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.83(01) [January 2024]