Bibliographic Details
| Title: |
Study on the acceleration process of three-phase induction motors driving elevator loads. |
| Authors: |
Van Can, Do1 dovancan@qnu.edu.vn, Tri, Phan Gia1 phangiatri@qnu.edu.vn |
| Source: |
International Journal of Electrical & Computer Engineering (2088-8708). Feb2026, Vol. 16 Issue 1, p135-148. 14p. |
| Subjects: |
Elevators, Acceleration (Mechanics), Embedded computer systems, Induction motors, Smoothness of functions, Field orientation principle, Dynamic stability |
| Abstract: |
Three-phase induction motor drive systems, especially in elevator applications and other precision motion systems, require optimized acceleration profiles to minimize vibrations and extend mechanical lifespan. Previous studies have primarily focused on fast speed response control but often overlooked the impact of jerk, which affects smoothness and operational safety. This paper proposes a combination of field-oriented control (FOC) and S-curve acceleration profiles to reduce jerk and improve motion quality. A dynamic model of the drive system is developed to simulate the acceleration process, demonstrating that the S-curve significantly reduces torque and current oscillations, thus enhancing stability. The S-curve trajectory generation algorithm is implemented and deployed on a field programmable gate array (FPGA) hardware platform. Experimental hardware results confirm that the generated speed control signals possess high resolution and fast response, making the method suitable for embedded control systems in elevator drives and other sensitive motion-control applications. This integrated approach not only addresses the limitations of previous methods but also provides a practical solution to improve comfort, safety, and durability in various electromechanical drive systems. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Electrical & Computer Engineering (2088-8708) is the property of Institute of Advanced Engineering & Science and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |