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Modeling of cupping suction system based on system identification method

The mathematical modelling for cupping design shown in this study is rather excellent. Using system identification techniques, this paper came up with a way to pick a mathematical model for a cupping suction system that would meet the needs of the controller. The input and output data were used to c...

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Main Author:	Kavindran, Suresh
Format:	Undergraduates Project Papers
Language:	English
Published:	2022
Subjects:	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39002/1/Ea18019_Kavindran_Thesis%20-%20Kavin%20Suresh.pdf http://umpir.ump.edu.my/id/eprint/39002/
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spelling	my.ump.umpir.390022023-10-24T07:12:23Z http://umpir.ump.edu.my/id/eprint/39002/ Modeling of cupping suction system based on system identification method Kavindran, Suresh TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The mathematical modelling for cupping design shown in this study is rather excellent. Using system identification techniques, this paper came up with a way to pick a mathematical model for a cupping suction system that would meet the needs of the controller. The input and output data were used to create this modeling output variable of the cupping suction system is detected by connecting a differential pressure sensor to the cup, while the input variable is determined by the speed of the pump applied in various locations. Many open loop real-time systems exist. The 2nd order fractional model was found to be the best fit for this cupping suction system. Cupping suction plant identification utilizing a nonlinear model based on the modified Sine Cosine Algorithm (mSCA). Moreover, there is a tool in MATLAB called System Identification Toolbox that can help to collect real measurement data samples. The transfer function model also makes use of a continuous-time transfer function. The pole-zero map is used to test the success of the suggested framework in terms of convergence curve responsiveness, output response, and model stability. Cupping suction system is stable in the real testing scenario, as its output was virtually identical to the toolbox-generated estimated output, as opposed to the mSCA approach. For instance, the input of hairy surface was virtually identical to the actual output at 90.75 %. By minimizing integral square errors, fractional order model parameters were optimized (ISE). The results reveal that the better the precision of the modelling cupping system parameter, the lower the error. This is important to ensure the correctness of the real-time output behavior and the accuracy of the output estimate created by mSCA, which produced a somewhat lower result than the MATLAB SID toolbox, which produced more consistent results. 2022-02 Undergraduates Project Papers NonPeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39002/1/Ea18019_Kavindran_Thesis%20-%20Kavin%20Suresh.pdf Kavindran, Suresh (2022) Modeling of cupping suction system based on system identification method. College of Engineering, Universiti Malaysia Pahang.
institution	Universiti Malaysia Pahang Al-Sultan Abdullah
building	UMPSA Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	Universiti Malaysia Pahang Al-Sultan Abdullah
content_source	UMPSA Institutional Repository
url_provider	http://umpir.ump.edu.my/
language	English
topic	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering Kavindran, Suresh Modeling of cupping suction system based on system identification method
description	The mathematical modelling for cupping design shown in this study is rather excellent. Using system identification techniques, this paper came up with a way to pick a mathematical model for a cupping suction system that would meet the needs of the controller. The input and output data were used to create this modeling output variable of the cupping suction system is detected by connecting a differential pressure sensor to the cup, while the input variable is determined by the speed of the pump applied in various locations. Many open loop real-time systems exist. The 2nd order fractional model was found to be the best fit for this cupping suction system. Cupping suction plant identification utilizing a nonlinear model based on the modified Sine Cosine Algorithm (mSCA). Moreover, there is a tool in MATLAB called System Identification Toolbox that can help to collect real measurement data samples. The transfer function model also makes use of a continuous-time transfer function. The pole-zero map is used to test the success of the suggested framework in terms of convergence curve responsiveness, output response, and model stability. Cupping suction system is stable in the real testing scenario, as its output was virtually identical to the toolbox-generated estimated output, as opposed to the mSCA approach. For instance, the input of hairy surface was virtually identical to the actual output at 90.75 %. By minimizing integral square errors, fractional order model parameters were optimized (ISE). The results reveal that the better the precision of the modelling cupping system parameter, the lower the error. This is important to ensure the correctness of the real-time output behavior and the accuracy of the output estimate created by mSCA, which produced a somewhat lower result than the MATLAB SID toolbox, which produced more consistent results.
format	Undergraduates Project Papers
author	Kavindran, Suresh
author_facet	Kavindran, Suresh
author_sort	Kavindran, Suresh
title	Modeling of cupping suction system based on system identification method
title_short	Modeling of cupping suction system based on system identification method
title_full	Modeling of cupping suction system based on system identification method
title_fullStr	Modeling of cupping suction system based on system identification method
title_full_unstemmed	Modeling of cupping suction system based on system identification method
title_sort	modeling of cupping suction system based on system identification method
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/39002/1/Ea18019_Kavindran_Thesis%20-%20Kavin%20Suresh.pdf http://umpir.ump.edu.my/id/eprint/39002/
_version_	1822923808177127424
score	13.232414

Modeling of cupping suction system based on system identification method

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