Optimization of an Ann-based speed and position estimator for an FOC-controlled PMSM using genetic algorithm

• Main Author: Quismundo, Juan Paolo B.
• Format: text
• Language: English
• Published: Animo Repository 2022
• Subjects: genetic algorithm, speed and position estimator, field-oriented control, permanent magnet synchronous motor, optimization; Computational Engineering; Controls and Control Theory; Electrical and Electronics; Signal Processing
• Online Access: https://animorepository.dlsu.edu.ph/etdm_ece/17; https://animorepository.dlsu.edu.ph/context/etdm_ece/article/1017/viewcontent/2022_Quismundo_CompleteVersionETD.pdf
• Institution: De La Salle University

This study develops a neural network-based estimator for the speed and position of a field-oriented-controlled permanent magnet synchronous motor optimized using a genetic algorithm. An estimator based on a neural network provides an alternative to conventional methods that require accurate informat...