2012
DOI: 10.6113/jpe.2012.12.5.758
|View full text |Cite
|
Sign up to set email alerts
|

Modeling and Position-Sensorless Control of a Dual-Airgap Axial Flux Permanent Magnet Machine for Flywheel Energy Storage Systems

Abstract: This paper presents the modeling and position-sensorless vector control of a dual-airgap axial flux permanent magnet (AFPM) machine optimized for use in flywheel energy storage system (FESS) applications. The proposed AFPM machine has two sets of three-phase stator windings but requires only a single power converter to control both the electromagnetic torque and the axial levitation force. The proper controllability of the latter is crucial as it can be utilized to minimize the vertical bearing stress to impro… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1

Citation Types

0
4
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
5
2
1

Relationship

0
8

Authors

Journals

citations
Cited by 12 publications
(4 citation statements)
references
References 25 publications
0
4
0
Order By: Relevance
“…These controllers are designed using linear and nonlinear control methods such as PI, LQR, dead beat, sliding mode, flatness, fuzzy [10][11][12][13][14], or hybrid controllers such as fuzzy-neural, fuzzy-sliding, and PIfuzzy [14][15][16][17]. However, the torque response has a slight pulsation, and the actual speed response quickly and accurately tracks the required speed [17][18][19][20]. Therefore, the study of intelligent control solutions to improve an integrated in-wheel AFPMSM torque in an EV should be combined with the required components and physical properties, such as brake and accelerator pedals, road inclination, and wind resistance.…”
Section: Introductionmentioning
confidence: 99%
“…These controllers are designed using linear and nonlinear control methods such as PI, LQR, dead beat, sliding mode, flatness, fuzzy [10][11][12][13][14], or hybrid controllers such as fuzzy-neural, fuzzy-sliding, and PIfuzzy [14][15][16][17]. However, the torque response has a slight pulsation, and the actual speed response quickly and accurately tracks the required speed [17][18][19][20]. Therefore, the study of intelligent control solutions to improve an integrated in-wheel AFPMSM torque in an EV should be combined with the required components and physical properties, such as brake and accelerator pedals, road inclination, and wind resistance.…”
Section: Introductionmentioning
confidence: 99%
“…This research results only stop to evaluate the effectiveness of each solution for torque and speed control in the case of AFPMSM motors operating with unchanged load torque or motor parameters. However, the torque response has a slight pulsation, and the actual speed response quickly and accurately tracks the required speed [18][19][20]. Thereby, it is found that researching intelligent control solutions to improve an AFPMSM motor torque integrated with electric car inwheel, combined with the required torque component by the physical properties of the vehicle car.…”
Section: Introductionmentioning
confidence: 99%
“…It has advantages in terrms of reducing several problems such as large, heavy, and complex conventional structures for air-gap control [10], [11]. In addition, this paper focuses on the continuous air-gap and position controls in the special structures of the developed MM-PMLSM [4], [12]- [14].…”
Section: Introductionmentioning
confidence: 99%