Modelling of cupping suction system based on system identification method

Suresh, Kavindran and Ghazali, M. R. and Ahmad, M. A. (2022) Modelling of cupping suction system based on system identification method. In: 2022 IEEE 10th Conference on Systems, Process & Control (ICSPC) , 17 December 2022 , Hatten Hotel Melaka, Malaysia. pp. 1-6. (185865). ISBN 978-166547098-8

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DOI/Official URL: https://doi.org/10.1109/ICSPC55597.2022.10001786

Abstract

The detection of cupped suction system plants using a standard model based on a modified Sine Cosine Algorithm (mSCA) is presented in this research. According to the findings, the mSCA-based technique can produce optimal parameters of model that provides an identified output response comparable to the actual experiment's cupping suction system output, with an integral square error for various random input surfaces and its objective function. The input and output data were used to create this modelling output variable of the cupping suction system detected by connecting the differential pressure sensor to the cup. In contrast, the input variable is determined by the speed of the pump applied in various locations. The transfer function model also makes use of the continuous-time transfer function.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	System identification; Data-driven; Modelling; Cupping system
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	Institute of Postgraduate Studies Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mrs Norsaini Abdul Samat
Date Deposited:	10 Jul 2023 04:19
Last Modified:	10 Jul 2023 04:19
URI:	http://umpir.ump.edu.my/id/eprint/36625
Download Statistic:	View Download Statistics

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