کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
410927 679170 2006 9 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Mold temperature control of a rubber injection-molding machine by TSK-type recurrent neural fuzzy network
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Mold temperature control of a rubber injection-molding machine by TSK-type recurrent neural fuzzy network
چکیده انگلیسی

Practical mold temperature control of a rubber injection-molding machine is studied in this paper. The controller used is a recurrent fuzzy network called Takagi–Sugeno–Kang (TSK)-type recurrent fuzzy network (TRFN), which is characterized by its recurrent structure, on-line structure and parameter learning. Due to the powerful learning ability of TRFN, a simple controller design scheme using direct inverse configuration is proposed. With recurrent structure in TRFN, no a priori knowledge of the molding machine order is required. The designed TRFN controller performs well even if the sampling interval is different from the original one used for training. The design of TRFN consists of off-line and on-line training. For off-line learning, structure and parameter of TRFN are learned, and the consequent part parameters are tuned by Kalman filter algorithm. On-line learning is performed to fine tune the consequent parameters of TRFN and achieve a better control performance with the use a simple gradient descent algorithm. Practical experiments and comparisons with other types of controllers demonstrate the performance of the proposed TRFN controller.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neurocomputing - Volume 70, Issues 1–3, December 2006, Pages 559–567
نویسندگان
, , ,