کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
700213 | 890841 | 2008 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Application of neural network in suppressing mechanical vibration of a permanent magnet linear motor
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
In this study, a recurrent neural network compensator for suppressing mechanical vibration in a permanent magnet linear synchronous motor (PMLSM) is studied. The linear motor is controlled by a conventional PI velocity controller, and the vibration of the flexible mechanism is suppressed by using a hybrid recurrent neural network. The differential evolution strategy and Kalman filter method are used to avoid the local minimum problem, and estimate the states of system, respectively. The proposed control method is firstly designed by using a nonlinear simulation model built in Matlab Simulink and then implemented in a practical test rig. The proposed method works satisfactorily and suppresses the vibration successfully.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Control Engineering Practice - Volume 16, Issue 7, July 2008, Pages 787–797
Journal: Control Engineering Practice - Volume 16, Issue 7, July 2008, Pages 787–797
نویسندگان
Hassan Yousefi, Markus Hirvonen, Heikki Handroos, Azita Soleymani,