Genetic algorithm-based hysteresis modeling and identification of rotary SMA actuators
| العنوان: | Genetic algorithm-based hysteresis modeling and identification of rotary SMA actuators |
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| المؤلفون: | Phi Luan Nguyen, Byung Ryong Lee, Van Phu Do |
| المصدر: | Journal of Mechanical Science and Technology. 28:1055-1063 |
| بيانات النشر: | Springer Science and Business Media LLC, 2014. |
| سنة النشر: | 2014 |
| مصطلحات موضوعية: | Engineering, business.industry, Mechanical Engineering, Computation, Control engineering, SMA, Identification (information), Hysteresis, Mechanics of Materials, Control theory, Genetic algorithm, Inverse hysteresis, Actuator, business |
| الوصف: | This paper describes a new, modified generalized Preisach model for actuators that have severe dead-zone hysteresis, which is mainly observed in rotary SMA actuators. Along with the Preisach model, a new approach of hysteresis modeling and parameter identification using genetic algorithm was proposed. This modeling method achieved significant improvements in both accuracy and computation time. The proposed approach is general; therefore, it can be applied to identify any type of hysteresis. To demonstrate the efficiency of the proposed model, experimental results on hysteresis identification of Rotary SMA Actuator and performance of inverse hysteresis openloop controller are provided and compared. |
| تدمد: | 1976-3824 1738-494X |
| DOI: | 10.1007/s12206-013-1207-3 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_________::d0d0dd7c29ff05faf12e790ed3847b5d https://doi.org/10.1007/s12206-013-1207-3 |
| Rights: | CLOSED |
| رقم الانضمام: | edsair.doi...........d0d0dd7c29ff05faf12e790ed3847b5d |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 19763824 1738494X |
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| DOI: | 10.1007/s12206-013-1207-3 |