Study on the Model Parameter Algorithm of the MSMA Sensor Article Swipe
Jun Lu
,
Lin Gao
,
Qingyang Yu
,
Litian Wu
·
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.12783/dtcse/itms2016/9472
YOU?
·
· 2017
· Open Access
·
· DOI: https://doi.org/10.12783/dtcse/itms2016/9472
Magnetically controlled shape memory alloy (MSMA) has a mechanical–electromagnetic inverse characteristic. Based on MSMA inverse characteristics, an identification algorithm on MSMA sensor model parameter is proposed in this paper. When removing the pre-pressure system, the improved sensor structure is proved to be more effectiveness through theoretical and experimental research. In the absence of pre-pressure, chaotic particle swarm optimization algorithm is used to identification each parameter of MSMA sensor model, the model parameter of the sensor is obtained under different experimental conditions. Comparison the experimental and calculated values of the induced voltage, the correctness of model parameter algorithm is verified by this method. The research work lays a foundation for theoretical research of MSMA sensor.
Related Topics
Concepts
Particle swarm optimization
Inverse
Correctness
Identification (biology)
Work (physics)
Voltage
Algorithm
Control theory (sociology)
Pressure sensor
Computer science
Engineering
Mathematics
Mechanical engineering
Artificial intelligence
Electrical engineering
Geometry
Botany
Control (management)
Biology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.12783/dtcse/itms2016/9472
- http://dpi-proceedings.com/index.php/dtcse/article/download/9472/9035
- OA Status
- bronze
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2613201160
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W2613201160Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.12783/dtcse/itms2016/9472Digital Object Identifier
- Title
-
Study on the Model Parameter Algorithm of the MSMA SensorWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2017Year of publication
- Publication date
-
2017-05-11Full publication date if available
- Authors
-
Jun Lu, Lin Gao, Qingyang Yu, Litian WuList of authors in order
- Landing page
-
https://doi.org/10.12783/dtcse/itms2016/9472Publisher landing page
- PDF URL
-
https://dpi-proceedings.com/index.php/dtcse/article/download/9472/9035Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
bronzeOpen access status per OpenAlex
- OA URL
-
https://dpi-proceedings.com/index.php/dtcse/article/download/9472/9035Direct OA link when available
- Concepts
-
Particle swarm optimization, Inverse, Correctness, Identification (biology), Work (physics), Voltage, Algorithm, Control theory (sociology), Pressure sensor, Computer science, Engineering, Mathematics, Mechanical engineering, Artificial intelligence, Electrical engineering, Geometry, Botany, Control (management), BiologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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