Mehrage Ghods;Jawad Faiz;Mohammad Ali Bahrami;Shahryar Haghvirdiloo;Zabihollah Tabarniarami
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Overview of Performance and Comparative Evaluation of Linear Tubular and Planar Consequent Pole PM Vernier Motor for Servo Applications
Tubular linear structures have been shown to offer higher torque density, power factor and efficiency in comparison with linear planar structures. In addition, these structures exhibit greater mechanical tolerance to misalignments and faults, which renders them advantageous in a variety of applications. This article evaluates a tubular permanent magnet Vernier motor with a consequent pole configuration. In this design, the magnets are arranged side by side in a Halbach, surface and V-shaped array suitable for servo application. The end-effect and thrust force ripple are minimized, while the power factor and the average thrust force are enhanced, through the utilization of electrical and mechanical phase shifts of the modules with respect to each other and to the reference, in comparison to the planar structure. The predicted performances of both structures are validated through experimental validation.
期刊介绍:
The IEEE Open Journal of the Industrial Electronics Society is dedicated to advancing information-intensive, knowledge-based automation, and digitalization, aiming to enhance various industrial and infrastructural ecosystems including energy, mobility, health, and home/building infrastructure. Encompassing a range of techniques leveraging data and information acquisition, analysis, manipulation, and distribution, the journal strives to achieve greater flexibility, efficiency, effectiveness, reliability, and security within digitalized and networked environments.
Our scope provides a platform for discourse and dissemination of the latest developments in numerous research and innovation areas. These include electrical components and systems, smart grids, industrial cyber-physical systems, motion control, robotics and mechatronics, sensors and actuators, factory and building communication and automation, industrial digitalization, flexible and reconfigurable manufacturing, assistant systems, industrial applications of artificial intelligence and data science, as well as the implementation of machine learning, artificial neural networks, and fuzzy logic. Additionally, we explore human factors in digitalized and networked ecosystems. Join us in exploring and shaping the future of industrial electronics and digitalization.