کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
7164032 | 1462876 | 2014 | 11 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Minimum variance control of organic Rankine cycle based waste heat recovery
ترجمه فارسی عنوان
کنترل حداقل واریانس ریکنر آلی رابینین بر مبنای بازیافت گرما
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کلمات کلیدی
چرخه رنکین ارگانیک، بازیابی گرما زباله، کنترل حداقل واریانس،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی انرژی
انرژی (عمومی)
چکیده انگلیسی
In this paper, an online self-tuning generalized minimum variance (GMV) controller is proposed for a 100Â KW waste heat recovery system with organic Rankine cycle (ORC). The ORC process model is formulated by the controlled autoregressive moving average (CARMA) model whose parameters are identified using the recursive least squares (RLS) algorithm with forgetting factor. The generalized minimum variance algorithm is applied to regulate ORC based waste heat recovery system. The contributions of this work are twofold: (1) the proposed control strategy is formulated under the data-driven framework, which does not need the precise mathematic model; (2) this proposed method is applied to handle tracking set-point variations and process disturbances by improved minimum objective GMV function. The performance of GMV controller is compared with the PID controller. The simulation results show that the proposed strategy can achieve satisfactory set-point tracking and disturbance rejection performance.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Energy Conversion and Management - Volume 86, October 2014, Pages 576-586
Journal: Energy Conversion and Management - Volume 86, October 2014, Pages 576-586
نویسندگان
Guolian Hou, Shanshan Bi, Mingming Lin, Jianhua Zhang, Jinliang Xu,