کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
795556 1466765 2008 6 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Ti6Al4V laser alloying process monitoring by using adaptive neural network controller
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مهندسی صنعتی و تولید
پیش نمایش صفحه اول مقاله
Ti6Al4V laser alloying process monitoring by using adaptive neural network controller
چکیده انگلیسی

Since the surface alloying process has multi-input and multi-output, non-linear coupling and time varying dynamic characteristics, it is very difficult to establish an accurate process model for designing model-based controller. Hence an adaptive neural network controller is developed in this paper to tackle the variation and disturbance of the laser alloying control system. The proposed control strategy is based on a neural network structure combined with sliding-mode control scheme. An adaptive rule is derived based on the reaching condition of a specified sliding surface to on-line adjust the weights of radial basis functions neural network (RBFNN). It has on-line learning ability in response to the system's non-linear and time-varying behaviors. Two adaptive neural network controllers are designed for regulating the laser power control and traverse speed, respectively, to achieve the desired temperature distribution on the alloying surface. The control performance is evaluated based on numerical simulation results. Different disturbances are introduced into the system output variables to investigate the robustness of the proposed controller with respect to practical process variation.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Materials Processing Technology - Volume 201, Issues 1–3, 26 May 2008, Pages 297–302
نویسندگان
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