Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery
This work deals with the design and the assessment of electromagnetic actuators (EMAs) for the control of rotating machines. The system studied has a hybrid bearing that exhibits nonlinear behavior. The system is composed of a horizontal flexible shaft supported by two ball bearings at one end and a...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.3233/SAV-2012-0735 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832562500689723392 |
|---|---|
| author | T.S. Morais J. Der Hagopian V. Steffen Jr. J. Mahfoud |
| author_facet | T.S. Morais J. Der Hagopian V. Steffen Jr. J. Mahfoud |
| author_sort | T.S. Morais |
| collection | DOAJ |
| description | This work deals with the design and the assessment of electromagnetic actuators (EMAs) for the control of rotating machines. The system studied has a hybrid bearing that exhibits nonlinear behavior. The system is composed of a horizontal flexible shaft supported by two ball bearings at one end and a roller bearing that is located in a squirrel cage at the other end. Four identical EMAs supplied with constant current are utilized. The EMAs associated to the squirrel cage constitutes the hybrid bearing. The aim is to develop a strategy in order to define and to identify a reliable model necessary for the control of rotating machinery in the presence of localized non-linearity. The identification strategy consists in modeling the system with as many sub-models as needed that are identified separately. This enables obtaining a straightforward modeling of rotating machinery even in the case in which system components are frequency or time dependent. For the system studied, two sub-models were necessary. First the EMAs were modeled by using classical equations of electromagnetism and then identified experimentally. Then, a linear model of the shaft mounted on its bearings was defined by using the finite element method and was identified successfully. The model of the system was adjusted after assembling the different identified sub-models. The identification is carried out by using a pseudo-random search algorithm. The model of the system is then assessed for different configurations. The results obtained demonstrate the effectiveness of the developed strategy. |
| format | Article |
| id | doaj-art-c3c66aab4605475db543d76b1a79654f |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-c3c66aab4605475db543d76b1a79654f2025-02-03T01:22:33ZengWileyShock and Vibration1070-96221875-92032013-01-0120117117910.3233/SAV-2012-0735Modeling and Identification of Electromagnetic Actuator for the Control of Rotating MachineryT.S. Morais0J. Der Hagopian1V. Steffen Jr.2J. Mahfoud3Federal University of Uberlândia, School of Mechanical Engineering, Campus Santa Monica, Uberlândia, BrazilUniversité de Lyon, Laboratoire de Mécanique des Contacts et des Structures, Institut National des Sciences Appliquées de Lyon, Lyon, FranceFederal University of Uberlândia, School of Mechanical Engineering, Campus Santa Monica, Uberlândia, BrazilUniversité de Lyon, Laboratoire de Mécanique des Contacts et des Structures, Institut National des Sciences Appliquées de Lyon, Lyon, FranceThis work deals with the design and the assessment of electromagnetic actuators (EMAs) for the control of rotating machines. The system studied has a hybrid bearing that exhibits nonlinear behavior. The system is composed of a horizontal flexible shaft supported by two ball bearings at one end and a roller bearing that is located in a squirrel cage at the other end. Four identical EMAs supplied with constant current are utilized. The EMAs associated to the squirrel cage constitutes the hybrid bearing. The aim is to develop a strategy in order to define and to identify a reliable model necessary for the control of rotating machinery in the presence of localized non-linearity. The identification strategy consists in modeling the system with as many sub-models as needed that are identified separately. This enables obtaining a straightforward modeling of rotating machinery even in the case in which system components are frequency or time dependent. For the system studied, two sub-models were necessary. First the EMAs were modeled by using classical equations of electromagnetism and then identified experimentally. Then, a linear model of the shaft mounted on its bearings was defined by using the finite element method and was identified successfully. The model of the system was adjusted after assembling the different identified sub-models. The identification is carried out by using a pseudo-random search algorithm. The model of the system is then assessed for different configurations. The results obtained demonstrate the effectiveness of the developed strategy.http://dx.doi.org/10.3233/SAV-2012-0735 |
| spellingShingle | T.S. Morais J. Der Hagopian V. Steffen Jr. J. Mahfoud Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery Shock and Vibration |
| title | Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery |
| title_full | Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery |
| title_fullStr | Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery |
| title_full_unstemmed | Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery |
| title_short | Modeling and Identification of Electromagnetic Actuator for the Control of Rotating Machinery |
| title_sort | modeling and identification of electromagnetic actuator for the control of rotating machinery |
| url | http://dx.doi.org/10.3233/SAV-2012-0735 |
| work_keys_str_mv | AT tsmorais modelingandidentificationofelectromagneticactuatorforthecontrolofrotatingmachinery AT jderhagopian modelingandidentificationofelectromagneticactuatorforthecontrolofrotatingmachinery AT vsteffenjr modelingandidentificationofelectromagneticactuatorforthecontrolofrotatingmachinery AT jmahfoud modelingandidentificationofelectromagneticactuatorforthecontrolofrotatingmachinery |