Abstract
In this paper, a review of the advances in brushless synchronous motors is presented because there has been an increasing interest in advanced motor control and to address the weaknesses of conventional motor control. The traditional motor control strategies, for example, proportional plus integral controllers (PIs), are simple and easy to maintain. On the contrary, they require accurate tuning and are affected by motor parameter variations. To address these challenges and many others (power factors, torque ripple, current limit, voltage limit, speed limit), advanced control methods are required to enhance the performance of the motor drive control. The advanced control techniques include model predictive control, slide mode control, reinforcement learning, and fuzzy logic control. This paper provides a comprehensive review of advances in control methods and addresses the challenges and limitations associated with their practical application.
Original language | English |
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Article number | 8 |
Journal | Eng |
Volume | 6 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2025 |
Keywords
- brushless synchronous machines
- field-oriented control
- fuzzy logic controller
- model predictive control
- motor direct torque control
- reinforcement learning
- sliding mode control
ASJC Scopus subject areas
- Chemical Engineering (miscellaneous)
- Engineering (miscellaneous)