• Medientyp: E-Artikel
  • Titel: Online parameter identification of a giant magnetostrictive actuator based on the dynamic Jiles–Atherton model
  • Beteiligte: Rong, Ce; He, Zhongbo; Li, Dongwei; Xue, Guangming; Yang, Zhaoshu
  • Erschienen: Royal Society of Chemistry (RSC), 2016
  • Erschienen in: RSC Advances
  • Sprache: Englisch
  • DOI: 10.1039/c6ra22673f
  • ISSN: 2046-2069
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  • Beschreibung: <p>Giant magnetostrictive actuators (GMAs) suffer dominant hysteresis nonlinearity. To better predict its output, a dynamic model of GMA based on J–A model is established. Results show the system performs well and is fit for online identification.</p>