Vol.31, No.1, 2022, pp.29-41, doi:10.32604/iasc.2022.019525
OPEN ACCESS
ARTICLE
H-infinity Controller Based Disturbance Rejection in Continuous Stirred-Tank Reactor
  • Sikander Hans1, Smarajit Ghosh2,*
1 Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, 147004, India
2 Department of Electrical and Instrumentation Engineering, Thapar Institute of Engineering and Technology, Patiala, 147004, India
* Corresponding Author: Smarajit Ghosh. Email:
(This article belongs to this Special Issue: Intelligence 4.0: Concepts and Advances in Computational Intelligence)
Received 16 April 2021; Accepted 18 May 2021; Issue published 03 September 2021
Abstract
This paper offers an H-infinity (H∞) controller-based disturbance rejection along with the utilization of the water wave optimization (WWO) algorithm. H∞ controller is used to synthesize the guaranteed performance of certain applications as well as it provides maximum gain at any situation. The proposed work focuses on the conflicts of continuous stirred-tank reactor (CSTR) such as variation in temperature and product concentration. The elimination of these issues is performed with the help of the WWO algorithm along with the controller operation. In general, the algorithmic framework of WWO algorithm is simple, and easy to implement with a small-size population and only a few control parameters. The planned work gives the enhanced performance by means of disturbance rejection when compared with the PID, ADRC and ANN controllers. Additionally, the proposed work improves the lifespan of the offered application through the elimination disorders. The overall process is implemented in the MATLAB working platform and the results are compared with the preceding methods to show the expected performance.
Keywords
Artificial neural networks; soft computing; h-infinity controller; continuous stirred-tank reactor; temperature; water wave optimization
Cite This Article
Hans, S., Ghosh, S. (2022). H-infinity Controller Based Disturbance Rejection in Continuous Stirred-Tank Reactor. Intelligent Automation & Soft Computing, 31(1), 29–41.
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