2019
DOI: 10.1049/joe.2018.8251
|View full text |Cite
|
Sign up to set email alerts
|

Current and voltage shaping method via modified dq transformation for the torque ripple compensation in PMSMs

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3

Citation Types

0
3
0

Year Published

2019
2019
2024
2024

Publication Types

Select...
2
2

Relationship

1
3

Authors

Journals

citations
Cited by 4 publications
(3 citation statements)
references
References 16 publications
0
3
0
Order By: Relevance
“…In [14], the authors developed an extended version of the Park transformation in order to compensate torque harmonics and also in [15] a similar method is followed in order to drive the machine with specific non‐sinusoidal currents, integrating further considerations on the impact of losses. The issue was also addressed by the authors of this paper in [16]. Although the proposed strategies show promising performance, they are limited to the application of surface mounted PMSMs (SPMSMs).…”
Section: Introductionmentioning
confidence: 99%
See 2 more Smart Citations
“…In [14], the authors developed an extended version of the Park transformation in order to compensate torque harmonics and also in [15] a similar method is followed in order to drive the machine with specific non‐sinusoidal currents, integrating further considerations on the impact of losses. The issue was also addressed by the authors of this paper in [16]. Although the proposed strategies show promising performance, they are limited to the application of surface mounted PMSMs (SPMSMs).…”
Section: Introductionmentioning
confidence: 99%
“…Although the proposed strategies show promising performance, they are limited to the application of surface mounted PMSMs (SPMSMs). Considering that interior PMSMs (IPMSMs) are more suitable engines for high‐end powertrains the aim of this study is to propose a more general feed‐forward method for driving also IPMSMs with appropriate non‐sinusoidal electric quantities; starting from what was exposed in [16]. As in [16] the algorithm is based on the knowledge of the BEMF.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation