کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1744539 | 1522141 | 2015 | 10 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Energy cost optimal operation of belt conveyors using model predictive control methodology
ترجمه فارسی عنوان
هزینه انرژی صرفه جویی در بهره وری از نوار نقاله های تسمه ای با استفاده از روش پیش بینی کنترل مدل
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کلمات کلیدی
تسمه نقاله، عملیات هزینه بهینه، کنترل پیش بینی مدل، نیروگاه زغال سنگ،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی های تجدید پذیر، توسعه پایدار و محیط زیست
چکیده انگلیسی
Open loop optimal control approach has been applied to operation efficiency of belt conveyors in our previous works. When applied to field conveyor systems, its optimal instructions may result in constraint violations because an open loop mechanism cannot deal with the disturbances from the coal consumption forecasting and the feed rate. In this paper, a closed-loop model predictive control (MPC) approach is proposed aiming at the above problem. A coal feeding process, containing 6 belt conveyors, in a coal-fired power plant is taken as a case study. The open loop control and the closed-loop MPC are both formulated for comparative study. The disturbance of coal consumption rate forecasting and the disturbance of feed rate are further imposed on the two approaches, respectively. The results show that both the two control approaches, with energy cost as their objective function, are capable to achieve energy cost optimal operation of belt conveyors. Furthermore, the closed-loop MPC approach excels the open loop optimal control in dealing with disturbances. Unlike open loop optimal control, MPC approach can get feasible solutions against the above disturbances by compensating them with its closed-loop control mechanism.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Cleaner Production - Volume 105, 15 October 2015, Pages 196-205
Journal: Journal of Cleaner Production - Volume 105, 15 October 2015, Pages 196-205
نویسندگان
Jia Luo, Weijian Huang, Shirong Zhang,