What is it about?
Permanent Magnet Synchronous Motors are used in several applications where smooth regulation of speed is required. In low speed – high torque operations, there will be an occurrence of torque ripples and that generates severe ripples in speed. The aim of this paper is to provide an overall view on high-performance control for reducing the speed ripples at low-speed operations by proposing a bioinspired optimizer called Grey Wolf Optimizer (GWO) in comparison with Particle Swarm Optimizer (PSO). This Grey Wolf optimizer will find the optimal input controls according to the requirements of speed tracking and the determination of optimal gains of the proportional-integral controller for speed control is done by PSO claims that the drive got satisfactory improvement in its robust nature.
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Why is it important?
The proposed Grey Wolf controller logic is for the high performance of PMSM drives. This aims to ensure the task of speed tracking while minimizing the ripples at low speed – high torque condition. The main purpose of this speed controller is to exploit the fast optimization process of the GW algorithm to find the control inputs. These control inputs then ensure the desired tracking of speed.
Perspectives
This was my PG final year project, and this is the result of a combined work of several minds. This article is inspired by a journal, which eventually led us to go through an entirely different concept, which can make useful researches in power electronic drives. More than anything else, and if nothing else, I hope you find this article thought-provoking.
PARVATHY C J
Rajiv Gandhi Institute of Technology, Kottayam, Kerala, India
Read the Original
This page is a summary of: Grey wolf optimizer based speed control of permanent magnet synchronous motor, January 2020, American Institute of Physics,
DOI: 10.1063/5.0003947.
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