کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6954374 | 1451829 | 2018 | 13 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Identification and compensation of friction for a novel two-axis differential micro-feed system
ترجمه فارسی عنوان
شناسایی و جبران تعویض اصطکاک برای یک سیستم جدید رله دو عاملی مختلف
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کلمات کلیدی
شناسایی اصطکاک، سیستم تغذیه، الگوریتم ژنتیک، مدل لوگر
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
پردازش سیگنال
چکیده انگلیسی
Non-linear friction in a conventional drive feed system (CDFS) feeding at low speed is one of the main factors that lead to the complexity of the feed drive. The CDFS will inevitably enter or approach a non-linear creeping work area at extremely low speed. A novel two-axis differential micro-feed system (TDMS) is developed in this paper to overcome the accuracy limitation of CDFS. A dynamic model of TDMS is first established. Then, a novel all-component friction parameter identification method (ACFPIM) using a genetic algorithm (GA) to identify the friction parameters of a TDMS is introduced. The friction parameters of the ball screw and linear motion guides are identified independently using the method, assuring the accurate modelling of friction force at all components. A proportional-derivate feed drive position controller with an observer-based friction compensator is implemented to achieve an accurate trajectory tracking performance. Finally, comparative experiments demonstrate the effectiveness of the TDMS in inhibiting the disadvantageous influence of non-linear friction and the validity of the proposed identification method for TDMS.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mechanical Systems and Signal Processing - Volume 106, June 2018, Pages 453-465
Journal: Mechanical Systems and Signal Processing - Volume 106, June 2018, Pages 453-465
نویسندگان
Fuxin Du, Mingyang Zhang, Zhaoguo Wang, Chen Yu, Xianying Feng, Peigang Li,