Alupathgala Kankanamalage, Chanaka Prasad, Kaur, Baldeep ORCID: 0000-0002-1762-3058 , Salehi Kahrizsangi, Hamid ORCID: 0000-0002-2516-6619 , Ellis, Richard and Bradley, Michael (2023) System identification and stability analysis of a pneumatic conveying pipeline based on blower input voltage and particle velocity: preliminary study. In: ICBMH 2023: 14th International Conference on Bulk Materials Storage, Handling and Transportation. Proceedings: Wollongong, NSW Australia, 11th - 13th July, 2023. ICBMH 2023 . Engineers Australia, Wollongong, New South Wales, Australia, pp. 436-444. ISBN 978-1925627831

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Abstract

Pneumatic conveying pipelines are widely used in various industries to transport particulate materials. In order to effectively control these systems, it is essential to identify the underlying dynamics. System Identification is a process that enables users to get an insight into underlying system dynamics and possibly control pneumatic conveying systems. This process involves analysing the dynamic characteristics of the system, including its transfer function and response to different inputs. Subsequently, control algorithms can be developed to ensure efficient and stable operation of the pneumatic conveying system. This study performed a system identification and stability analysis of a pneumatic conveying pipeline based on key variables: the blower input voltage and the particle velocity. Several mathematical models were developed to describe the dynamics of the pneumatic conveying system and predict the particle velocity. The developed models were then validated using a distinct experimental data set, and the best-performing model was selected for further analysis. The selected model was then used to perform stability analysis to assess the performance of the system under different operating conditions. Finally, several methods were used for stability analysis, including root locus and bode plot analysis. The results of this analysis showed that the system was stable for a wide range of operating conditions, and the selected mathematical model adequately represents the behaviour of the pneumatic conveying system. Moreover, it demonstrates the effectiveness of using techniques, such as mathematical modelling and stability analysis. Further, it provides a foundation for further research into optimising and controlling pneumatic conveying pipelines.

Chanaka Prasad Premarathna1, Baldeep Kaur1, Hamid Salehi
Kahrizsangi1, Richard Ellis2, Michael S.A. Bradley1

Item Type:	Conference Proceedings
Title of Proceedings:	ICBMH 2023: 14th International Conference on Bulk Materials Storage, Handling and Transportation. Proceedings: Wollongong, NSW Australia, 11th - 13th July, 2023
Uncontrolled Keywords:	digital twinning; gas-solid flow; pneumatic conveying
Subjects:	T Technology > T Technology (General) T Technology > TH Building construction T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Related URLs:	Organisation
Last Modified:	15 May 2024 08:33
URI:	http://gala.gre.ac.uk/id/eprint/43670

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