Artificial Intelligence Based State Observer in Polymerization Process

  • Jarinah Mohd Ali Department of Chemical Engineering, Faculty of Engineering University of Malaya, 50603Kuala Lumpur
  • M. A. Hussain Department of Chemical Engineering, Faculty of Engineering University of Malaya, 50603Kuala Lumpur
Keywords: Artificial Intelligence, Fuzzy logic, State estimation, Polymerization, Reactor

Abstract

Observers or state estimators are devices used to estimate immeasurable key parameters that are due to noise, disturbances and mismatch. It is important to identify those variables prior to construct a control system and avoid fault or process disruption. In certain chemical processes, such observer usage produced unsatisfactory results therefore hybrid approached is the appropriate solution. Hybrid observers are combination of two or more conventional observers mainly to enhance the estimator’s performance and overcoming their limitations. In advanced cases, Artificial Intelligence algorithm is applied. This paper develops two hybrid observers namely sliding mode and extended Luenberger observers with fuzzy logic for approximating the monomer concentration in a polymerization reactor. It was found that the sliding mode observer- fuzzy combination is better based on noise handling with less oscillation.

References

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Published
2013-12-31
How to Cite
Mohd Ali, J., & Hussain, M. A. (2013). Artificial Intelligence Based State Observer in Polymerization Process. ASEAN Journal of Chemical Engineering, 13(2), 50-56. Retrieved from https://journal.ugm.ac.id/v3/AJChE/article/view/8159
Issue
Vol 13 No 2 (2013)
Section
Articles

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