کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
381122 | 1437484 | 2010 | 7 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Robust air/fuel ratio control with adaptive DRNN model and AD tuning
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کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
پیش نمایش صفحه اول مقاله
![عکس صفحه اول مقاله: Robust air/fuel ratio control with adaptive DRNN model and AD tuning Robust air/fuel ratio control with adaptive DRNN model and AD tuning](/preview/png/381122.png)
چکیده انگلیسی
Current production engines use look-up table and proportional and integral (PI) feedback control to regulate air/fuel ratio (AFR), which is time-consuming for calibration and is not robust to engine parameter uncertainty and time varying dynamics. This paper investigates engine modelling with the diagonal recurrent neural network (DRNN) and such a model-based predictive control for AFR. The DRNN model is made adaptive on-line to deal with engine time varying dynamics, so that the robustness in control performance is greatly enhanced. The developed strategy is evaluated on a well-known engine benchmark, a simulated mean value engine model (MVEM). The simulation results are also compared with the PI control.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 2, March 2010, Pages 283–289
Journal: Engineering Applications of Artificial Intelligence - Volume 23, Issue 2, March 2010, Pages 283–289
نویسندگان
Yu-Jia Zhai, Ding-Wen Yu, Hong-Yu Guo, D.L. Yu,