کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4974121 1365520 2017 26 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Nonlinear model-predictive control with disturbance rejection property using adaptive neural networks
ترجمه فارسی عنوان
کنترل پیش بینی نشده غیر خطی مدل با ویژگی رد اختلال با استفاده از شبکه های عصبی تطبیقی
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر پردازش سیگنال
چکیده انگلیسی
In this paper, a method is proposed to reject disturbances in the model predictive control (MPC) strategy. In addition, uncertainties in the system parameters (i.e., internal disturbances) are considered as well. To achieve these goals, adaptive neural networks are designed as the predictor model and as the nonlinear disturbance observer, respectively. The disturbances are rejected via the optimization problem of the MPC. Stability of the closed-loop system is studied based on the Input-to-State Stability method. The proposed method is applied to the pH neutralization process and CSTR system and its effectiveness in optimal rejection of the disturbances and satisfying the system constrains is compared with the feed-forward control method.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of the Franklin Institute - Volume 354, Issue 13, September 2017, Pages 5201-5220
نویسندگان
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