کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
380178 1437425 2016 12 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling of unstructured uncertainties and robust controlling of nonlinear dynamic systems based on type-2 fuzzy basis function networks
ترجمه فارسی عنوان
مدل سازی عدم قطعیت بدون ساختار و کنترل قدرتمند سیستم های دینامیکی غیرخطی بر اساس شبکه های تابع پایه فازی نوع 2
کلمات کلیدی
کنترل فازی؛ کنترل مقاوم؛ مدل فازی TS؛ مدل FBFN؛ عدم قطعیت بدون ساختار
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
چکیده انگلیسی

This paper proposes new methods for modeling unstructured uncertainties and robust controlling of unknown nonlinear dynamic systems by using a novel robust Takagi Sugeno fuzzy controller (RTSFC). First, a new training algorithm for an interval type-2 fuzzy basis function network (FBFN) is proposed. Next, a novel technique is presented to convert the interval type-2 FBFN to an interval type-2 Takagi Sugeno (TS) fuzzy model. Based on the interval type-2 TS and type-2 FBFN models, a robust controller is presented with an adjustable convergence rate. Since the type-2 fuzzy model with its new training technique can effectively capture the unstructured uncertainties and accurately estimate the upper and lower bounds of unknown nonlinear dynamic systems, the stability condition of the proposed control system is much less conservative than other robust control methods that are based on norm bounded uncertainties. Simulation results on an electrohydraulic actuator show that the RTSFC can reduce steady state error under different conditions while maintaining better responses than the other robust sliding mode controllers.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 53, August 2016, Pages 74–85
نویسندگان
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