Hybrid Swarm Algorithms for Parameter Identification of an Actuator Model in an Electrical Machine
Joint Authors
Wu, Ying
Huang, Xianlin
Gao, X. Z.
Zenger, Kai
Kiviluoto, Sami
Source
Advances in Acoustics and Vibration
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-05-29
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Efficient identification and control algorithms are needed, when active vibration suppression techniques are developed for industrial machines.
In the paper a new actuator for reducing rotor vibrations in electrical machines is investigated.
Model-based control is needed in designing the algorithm for voltage input, and therefore proper models for the actuator must be available.
In addition to the traditional prediction error method a new knowledge-based Artificial Fish-Swarm optimization algorithm (AFA) with crossover, CAFAC, is proposed to identify the parameters in the new model.
Then, in order to obtain a fast convergence of the algorithm in the case of a 30 kW two-pole squirrel cage induction motor, we combine the CAFAC and Particle Swarm Optimization (PSO) to identify parameters of the machine to construct a linear time-invariant(LTI) state-space model.
Besides that, the prediction error method (PEM) is also employed to identify the induction motor to produce a black box model with correspondence to input-output measurements.
American Psychological Association (APA)
Wu, Ying& Kiviluoto, Sami& Zenger, Kai& Gao, X. Z.& Huang, Xianlin. 2011. Hybrid Swarm Algorithms for Parameter Identification of an Actuator Model in an Electrical Machine. Advances in Acoustics and Vibration،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-487105
Modern Language Association (MLA)
Wu, Ying…[et al.]. Hybrid Swarm Algorithms for Parameter Identification of an Actuator Model in an Electrical Machine. Advances in Acoustics and Vibration No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-487105
American Medical Association (AMA)
Wu, Ying& Kiviluoto, Sami& Zenger, Kai& Gao, X. Z.& Huang, Xianlin. Hybrid Swarm Algorithms for Parameter Identification of an Actuator Model in an Electrical Machine. Advances in Acoustics and Vibration. 2011. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-487105
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-487105