کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
10409436 | 894026 | 2005 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Linearization of the scanning field for 2D torsional micromirror by RBF neural network
دانلود مقاله + سفارش ترجمه
دانلود مقاله ISI انگلیسی
رایگان برای ایرانیان
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
شیمی
الکتروشیمی
پیش نمایش صفحه اول مقاله

چکیده انگلیسی
We report a radial basis function (RBF) neural network (NN) method to linearize the scanning field of a 2D torsional micromirror, which is distorted by the intrinsic nonlinearity of the electrostatic torques. The 2D micromirror system is modelled and the parameters are identified. The feasibility of the method is shown. The system model is coded in the analog hardware description language (AHDL) for system level simulation in Saber^{TM}. The experiment is implemented in National Instrument's LabVIEW^{TM} with a real-time embedded controller and a data acquisition card. The NN algorithm is coded in C language as a Dynamic Link Library (DLL) to make it easily integrated into both Saber⢠and LabVIEWâ¢. The experimental results agree well with the simulation ones. The distortion rates are improved from 28% in simulation and 23% in experiment to a negligible level respectively.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Sensors and Actuators A: Physical - Volume 121, Issue 1, 31 May 2005, Pages 230-236
Journal: Sensors and Actuators A: Physical - Volume 121, Issue 1, 31 May 2005, Pages 230-236
نویسندگان
Yi Zhao, Francis E.H. Tay, Fook Siong Chau, Guangya Zhou,