Published March 1, 2019
| Version v1
Journal article
The Design of Flux Linkage Measurement for Switched Reluctance Motor
Creators
- 1. School of Electromechanical Project, Guangdong University of Petrochemical Technology, Maoming (China)
Description
A Back Propagation neural network (BPNN) flux linkage model was proposed based on the measured magnetization curve for 8/6 poles switched reluctance motor (SRM). A flux linkage measuring installation is set up by using a digital signal processor (DSP) and measuring the voltage of winding under different rotor positions and different current values, then obtained the value of the corresponding flux linkage and the rotor magnetization characteristics of different positions.The flux linkage has higher accuracy. The design has the actual reference value to the high performance speed control of SRM. (paper)
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/1176/5/052036Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 1176
- Journal Issue
- 5
- Journal Page Range
- [6 p.]
- ISSN
- 1742-6596
Conference
- Title
- International Seminar on Computer Science and Engineering Technology
- Acronym
- SCSET 2018
- Dates
- 17-18 Dec 2018
- Place
- Shanghai (China)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 53040981
- Subject category
- S42: ENGINEERING; S71: CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- CALIBRATION STANDARDS; DESIGN; ELECTRIC POTENTIAL; MAGNETIZATION; MOTORS; NEURAL NETWORKS; PERFORMANCE; ROTORS; SIGNALS
- Descriptors DEC
- ENGINES; STANDARDS