Paper published in a book (Scientific congresses and symposiums)
Nonlinear identification and control of Organic Rankine Cycle systems using sparse polynomial models
Hernandez, Andres; Ruiz, Fredy; Ionescu, Clara et al.
2016In Proceedings of the 2016 IEEE Conference on Control Applications (CCA) Part of 2016 IEEE Multi-Conference on Systems and Contro
Peer reviewed
 

Files


Full Text
Hernandez - 2016 - Nonlinear identification and control of organic Rankine cycle systems using sparse polynomial models.pdf
Publisher postprint (313.4 kB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Abstract :
[en] Development of a first principles model of a system is not only a time- and cost- consuming task, but often leads to model structures which are not directly usable to design a controller using current available methodologies. In this paper we use a sparse identification procedure to obtain a nonlinear polynomial model. Since this is a NP-hard problem, a relaxed algorithm is employed to accelerate its convergence speed. The obtained model is further used inside the nonlinear Extended Prediction Self-Adaptive control (NEPSAC) approach to Non- linear Model Predictive Control (NMPC), which replaces the complex nonlinear optimization problem by a simpler iterative quadratic programming procedure. An organic Rankine cycle system, characterized for presenting nonlinear time-varying dynamics, is used as benchmark to illustrate the effectiveness of the proposed combined strategies.
Disciplines :
Energy
Author, co-author :
Hernandez, Andres;  Universiteit Gent - Ugent > Electrical Energy, Systems and Automation > PhD student
Ruiz, Fredy;  Pontificia Universidad Javeriana, Colombia > Electronics Engineering > Researcher
Ionescu, Clara;  Universiteit Gent - Ugent > Electrical Energy Systems and Automation > Senior Researcher
Quoilin, Sylvain  ;  Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Lemort, Vincent  ;  Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques
De Keyser, Robin;  Universiteit Gent - Ugent > Electrical energym systems and automation > Full Professor
Desideri, Adriano ;  Université de Liège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Language :
English
Title :
Nonlinear identification and control of Organic Rankine Cycle systems using sparse polynomial models
Publication date :
19 September 2016
Event name :
2016 IEEE Conference on Control Applications (CCA) Part of 2016 IEEE Multi-Conference on Systems and Contro
Event date :
from 19-09-2016 to 22-09-2016
Main work title :
Proceedings of the 2016 IEEE Conference on Control Applications (CCA) Part of 2016 IEEE Multi-Conference on Systems and Contro
Peer reviewed :
Peer reviewed
Available on ORBi :
since 24 January 2017

Statistics


Number of views
79 (9 by ULiège)
Number of downloads
220 (3 by ULiège)

Scopus citations®
 
6
Scopus citations®
without self-citations
3
OpenCitations
 
3

Bibliography


Similar publications



Contact ORBi