This paper proposes a loss minimization control method based on improved gradient descent algorithm (GDA) for interior permanent magnet synchronous machine (IPMSM). Since the power of PMSM is derived from the measured phase voltage and current, this method is independent from the iron loss model containing motor parameters. Meanwhile, it can guarantee the stability of PMSM system when entering the searching period. Both maximum torque per ampere (MTPA) and i(d) = 0 control are carried out to validate the effectiveness of the proposed method. The experimental results are demonstrated to verify the proposed approach.

A loss minimization control method for IPMSM drive system based on improved gradient descent algorithm

Li, Zhaokai;
2022-01-01

Abstract

This paper proposes a loss minimization control method based on improved gradient descent algorithm (GDA) for interior permanent magnet synchronous machine (IPMSM). Since the power of PMSM is derived from the measured phase voltage and current, this method is independent from the iron loss model containing motor parameters. Meanwhile, it can guarantee the stability of PMSM system when entering the searching period. Both maximum torque per ampere (MTPA) and i(d) = 0 control are carried out to validate the effectiveness of the proposed method. The experimental results are demonstrated to verify the proposed approach.
2022
loss minimization control
gradient descent algorithm
permanent magnet synchronous machine
iron loss
maximum torque per ampere
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1268591
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 3
  • ???jsp.display-item.citation.isi??? ND
social impact