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Iron loss analysis on switched reluctance motor under different control modes
- Source :
- IET Electric Power Applications. 11:1575-1584
- Publication Year :
- 2017
- Publisher :
- Institution of Engineering and Technology (IET), 2017.
-
Abstract
- This study analyses the influence of the control parameters on the iron loss of the switched reluctance motor under different control modes by using the motor iron loss model which is suitable for different control modes. The motor iron loss model combines the magnetic equivalent circuit (MEC) method with the finite element (FE) method. First, the static flux density of the motor is obtained by the FE software, and then the relationship between the characteristics of static flux density and dynamic flux density is analysed through the MEC method. In combination with the motor dynamic MATLAB/Simulink model, the dynamic flux density of different feature regions is obtained. Simultaneously, the iron loss model of the motor is established in MATLAB/Simulink according to the loss model so that the motor loss can be calculated rapidly and accurately. Then, the influence of the control parameters on the motor loss is calculated and analysed under angle position control and current chopping control. The accuracy of the loss model and analysis results are verified by experiments.
- Subjects :
- 010302 applied physics
Materials science
020208 electrical & electronic engineering
02 engineering and technology
01 natural sciences
Switched reluctance motor
Finite element method
Reluctance motor
Quantitative Biology::Subcellular Processes
Control theory
0103 physical sciences
0202 electrical engineering, electronic engineering, information engineering
Equivalent circuit
Electrical and Electronic Engineering
Control parameters
MATLAB
computer
Position control
Machine control
computer.programming_language
Subjects
Details
- ISSN :
- 17518679 and 17518660
- Volume :
- 11
- Database :
- OpenAIRE
- Journal :
- IET Electric Power Applications
- Accession number :
- edsair.doi...........f71a9b8b09d388a47f4a8441533ca141