Predictive Model Control and Intelligent Agent are Used To Optimize The Precision Control of an Electro-Pneumatic Actuator-Based Robotic Bottle Capper

Authors

  • Jack Chinedu Edeubaka , Alex Ekwueme Federal University Teaching Hospital Abakaliki
  • Francis Ifeanyi Anyasi Ambrose Alli University Ekpoma
  • Peter Francis Inyang University of Cross River State
  • Prince Ekpenyong Odo University of Cross River State

DOI:

https://doi.org/10.59535/faase.v2i1.245

Keywords:

Improving, Electro Pneumatic, Actuator, Bottle Capper, Intelligent Agent

Abstract

The inferior corking performance observed in bottled drinks from breweries is attributed to poor precision. To address this issue, an enhanced precision control system for an electro-pneumatic actuator-based bottle capper is introduced, utilizing model predictive control and intelligent agent technologies. This involves characterizing the electro-pneumatic actuator system, developing a conventional model for the robotic bottle capper, and designing a rule base to improve precision in the capping mechanism, thereby boosting production capacity per unit time. To achieve this, AI is trained to design a rule-based model ensuring optimal efficacy of the capping mechanism, thus enhancing the brewery industry's production capacity and revenue generation. A SIMULINK model is developed to demonstrate the improved precision control of the electro-pneumatic actuator robotic bottle capper using model predictive control and intelligent agent. Results show a significant increase in corking precision from 94.4% with conventional methods to 99.9% when intelligent agents are incorporated into the system. This translates to a 5.5% improvement in corking precision, with production capacity increasing from 27,000 crates using conventional methods to 28,570 with model predictive control. Moreover, with the integration of intelligence, the production capacity further rises to 342,500 bottles.

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Published

2024-04-21

How to Cite

Jack Chinedu Edeubaka, Francis Ifeanyi Anyasi, Peter Francis Inyang, & Prince Ekpenyong Odo. (2024). Predictive Model Control and Intelligent Agent are Used To Optimize The Precision Control of an Electro-Pneumatic Actuator-Based Robotic Bottle Capper. Frontier Advances in Applied Science and Engineering, 2(1), 26–36. https://doi.org/10.59535/faase.v2i1.245

Issue

Vol. 2 No. 1 (2024)

Section

Original Articles

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Copyright (c) 2024 Jack Chinedu Edeubaka, Francis Ifeanyi Anyasi, Peter Francis Inyang, Prince Ekpenyong Odo

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