Fractional-order Modeling of Constant Temperature Water Bath System based on Particle Swarm Optimization

Zishuo Wang; Ruipeng Lu; Xingquan Gao

doi:10.6919/ICJE.202410_10(10).0001

Authors

Zishuo Wang
Ruipeng Lu
Xingquan Gao

DOI:

https://doi.org/10.6919/ICJE.202410_10(10).0001

Keywords:

Constant Temperature Water Bath; Fractional-order Modeling; Particle Swarm Optimization; Parameter Identification.

Abstract

This paper proposes a fractional-order modeling method for a constant temperature water bath based on particle swarm optimization. For the fractional-order and unknown parameters of the constant temperature water bath model, different particle swarm optimization ranges are set, and the fractional-order unknown parameters are simultaneously identified through optimization iteration, and experimentally verify the effectiveness of the model through experiments. The comparison results show that the fractional-order model has a higher fitting degree than the integer order model, is closer to the actual output response curve of the constant temperature water bath system, and can better characterize the dynamic change characteristics of the constant temperature water bath temperature.

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