Modeling of a Hydraulic System Using the Takagi-Sugeno Model and Parametric Optimization with the Levenberg-Marquardt Algorithm
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DOI:
https://doi.org/10.5281/zenodo.14957434Keywords:
Nonlinear System, Takagi-Sugeno Multi-Model, Identification, Levenberg-Marquardt Algorithm, Hydraulic System, Coupled-Tank SystemAbstract
Process industries have long faced the challenge of liquid level control. The performance of a
control system largely depends on the accuracy of the mathematical model used to predict its dynamic
behavior. This paper presents the development of a Takagi-Sugeno fuzzy model for a coupled-tank
system, based on a linearization technique. Furthermore, the Marquardt-Levenberg optimization
algorithm was employed to identify the parameters of the Takagi-Sugeno model. Finally, a comparison
between the nonlinear model and the identified model was conducted, demonstrating satisfactory results.
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References
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