کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
404758 677447 2008 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Adaptive RBF network for parameter estimation and stable air–fuel ratio control
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر هوش مصنوعی
پیش نمایش صفحه اول مقاله
Adaptive RBF network for parameter estimation and stable air–fuel ratio control
چکیده انگلیسی

In the application of variable structure control to engine air–fuel ratio, the ratio is subjected to chattering due to system uncertainty, such as unknown parameters or time varying dynamics. This paper proposes an adaptive neural network method to estimate two immeasurable physical parameters on-line and to compensate for the model uncertainty and engine time varying dynamics, so that the chattering is substantially reduced and the air–fuel ratio is regulated within the desired range of the stoichiometric value. The adaptive law of the neural network is derived using the Lyapunov method, so that the stability of the whole system and the convergence of the networks are guaranteed. Computer simulations based on a mean value engine model demonstrate the effectiveness of the technique.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Neural Networks - Volume 21, Issue 1, January 2008, Pages 102–112
نویسندگان
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