Enhanced grinding process of a cement ball mill through a generalised predictive controller integrated with a CARIMA model.

Venkatesh Sivanandam, Ramkumar Kannan, Valarmathi Ramasamy, Gomathi Veerasamy, Hemalatha Mahalingam, Rengarajan Amirtharajan

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Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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6 authors.

Venkatesh SivanandamSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India. esvee@eie.sastra.edu.

Ramkumar KannanSchool of Computing, SASTRA Deemed University, Thanjavur, 613 401, India.

Valarmathi RamasamySchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.

Gomathi VeerasamyDepartment of Instrumentation Engineering, Madras Institute of Technology, Anna University, Chennai, 600044, India.

Hemalatha MahalingamDepartment of Electrical and Computer Engineering, Faculty of Engineering, King Abdulaziz University, 22254, Jeddah, Saudi Arabia.

Rengarajan AmirtharajanSchool of Electrical & Electronics Engineering, SASTRA Deemed University, Thanjavur, 613 401, India.

Funding

Ministry of Education and King Abdulaziz University, DSR, Jeddah, Saudi Arabia. IFPIP: 974-144-1443

6 · The paper itself

Abstract

Cement ball mills in the finishing stage of the cement industries consume the highest energy in the cement manufacturing stage. Therefore, suitable controllers that result in good productivity and product quality with reduced energy consumption are required for the cement ball mill grinding process to increase the profit margins. In this study, generalised predictive controllers (GPC)have been designed for the cement ball mill grinding operation using the model obtained from the step response data taken from the industrially recognized simulator. The servo and regulatory responses are analysed with and without constraints by implementing the designed GPC under the closed loop. The error metrics for GPC and conventional controllers are also analysed. The designed GPC for the cement ball mill grinding process outperforms the traditional controller in error metrics.

Indexed as

CARIMA modelCement ball millGPCModelingT-filter

Identifiers

PMID39732814

DOI10.1038/s41598-024-82708-w

PMCPMC11682061

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.