Nicholas Cantone
Cash Automation: Stepper Motor Control Strategies in Banknote Storage Modules.
Rel. Massimo Violante. Politecnico di Torino, Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica), 2024
Abstract: |
In today's rapidly evolving technological landscape, mechatronic systems play a crucial role in various industries, offering integrated solutions that combine mechanical, electrical, and computer engineering principles. This thesis explores advanced control and monitoring techniques for enhancing the performance, reliability, and efficiency of mechatronic systems. The study begins by investigating the fundamentals of microcontroller-based control systems, covering topics such as microcontroller architecture, peripheral components, and interfacing techniques. Various aspects of microcontroller programming, including timer operation, analog-to-digital conversion, and interrupt handling, are examined in detail. A significant focus of the research lies in the implementation of current chopping methods for driving stepper motors. Detailed discussions on chopping phases, recirculating current paths, and MOSFET operation during chopping are provided, offering insights into optimizing motor control strategies for precise positioning and smooth operation. Furthermore, the thesis delves into the design and implementation of windowed mode in analog-to-digital converters (ADCs) for monitoring analog signals within predefined voltage ranges. The functionality and benefits of windowed mode are explored in depth, with practical applications ranging from sensor monitoring to fault detection in safety-critical systems. The research methodology encompasses theoretical analysis, simulation studies, and practical experiments, conducted to validate the effectiveness and reliability of the proposed control and monitoring techniques. Real-world case studies from industries such as automotive, robotics, and energy management are presented to demonstrate the applicability and versatility of the developed methods. Overall, this thesis contributes to advancing the field of mechatronics by introducing novel approaches for enhancing the control, monitoring, and automation capabilities of mechatronic systems. The insights gained from this research have the potential to drive innovation and improve the performance of mechatronic devices across various industrial sectors.   In today's fast expanding technological landscape, mechatronic systems play an important role in a variety of sectors by providing integrated solutions that incorporate mechanical, electrical, and computer engineering concepts. This thesis investigates improved control and monitoring methods for improving the performance, reliability, and efficiency of mechatronic systems. The research focuses heavily on the application of current chopping techniques for controlling stepper motors. Detailed explanations of chopping phases, recirculating current routes, and MOSFET functioning during chopping are included, providing insights into enhancing motor control schemes for precise placement and smooth operation. The thesis also examines the design and implementation of windowed mode in analog-to-digital converters (ADCs) for monitoring analog signals within predetermined voltage ranges. The functioning and benefits of windowed mode are thoroughly examined, with examples ranging from sensor monitoring to problem detection in safety-critical systems. The research process includes theoretical analysis, modeling studies, and practical tests designed to evaluate the efficacy and dependability of the suggested control and monitoring systems. Real-world case studies from sectors like as automotive, robotics, and energy management are used to show the applicability |
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Relators: | Massimo Violante |
Academic year: | 2023/24 |
Publication type: | Electronic |
Number of Pages: | 59 |
Additional Information: | Tesi secretata. Fulltext non presente |
Subjects: | |
Corso di laurea: | Corso di laurea magistrale in Mechatronic Engineering (Ingegneria Meccatronica) |
Classe di laurea: | New organization > Master science > LM-25 - AUTOMATION ENGINEERING |
Aziende collaboratrici: | ARCA Technologies srl |
URI: | http://webthesis.biblio.polito.it/id/eprint/31004 |
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