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Kategorie szczegółowe BISAC

Adaptive Control of Solar Energy Collector Systems

ISBN-13: 9783319068527 / Angielski / Twarda / 2014 / 253 str.

Joao M. Lemos; Rui A. N. Neves-Silva; Jose M. Igreja
Adaptive Control of Solar Energy Collector Systems Joao M. Lemos Rui A. N. Neves-Silva Jose M. Igreja 9783319068527 Springer - książkaWidoczna okładka, to zdjęcie poglądowe, a rzeczywista szata graficzna może różnić się od prezentowanej.

Adaptive Control of Solar Energy Collector Systems

ISBN-13: 9783319068527 / Angielski / Twarda / 2014 / 253 str.

Joao M. Lemos; Rui A. N. Neves-Silva; Jose M. Igreja
cena 403,47
(netto: 384,26 VAT:  5%)

Najniższa cena z 30 dni: 385,52
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This book describes methods for adaptive control of distributed-collector solar fields: plants that collect solar energy and deliver it in thermal form. Controller design methods are presented that can overcome difficulties found in these type of plants:

  • they are distributed-parameter systems, i.e., systems with dynamics that depend on space as well as time;
  • their dynamics is nonlinear, with a bilinear structure;
  • there is a significant level of uncertainty in plant knowledge.
Adaptive methods form the focus of the text because of the degree of uncertainty in the knowledge of plant dynamics. Parts of the text are devoted to design methods that assume only a very limited knowledge about the plant. Other parts detail methods that rely on knowledge of the dominant plant structure. These methods are more plant specific, but allow the improvement of performance.Adaptive Control of Solar Energy Collector Systems demonstrates the dynamics of solar fields to be rich enough to present a challenge to the control designer while, at the same time, simple enough to allow analytic work to be done, providing case studies on dynamics and nonlinear control design in a simple and revealing, but nontrivial way.The control approaches treated in this monograph can be generalized to apply to other plants modelled by hyperbolic partial differential equations, especially process plants in which transport phenomena occur, plants like dryers, steam super-heaters and even highway traffic.An important example, used repeatedly throughout the text, is a distributed-collector solar field installed at Plataforma Solar de Almeria, located in southern Spain. The control algorithms laid out in the text are illustrated with experimental results generated from this plant.Although the primary focus of this monograph is solar energy collector, the range of other systems which can benefit from the methods described will make it of interest to control engineers working in many industries as well as to academic control researchers interested in adaptive control and its applications.

Kategorie:
Technologie
Kategorie BISAC:
Science > Energia
Technology & Engineering > Automation
Technology & Engineering > Mechanical
Wydawca:
Springer
Seria wydawnicza:
Advances in Industrial Control
Język:
Angielski
ISBN-13:
9783319068527
Rok wydania:
2014
Wydanie:
2014
Numer serii:
000000291
Ilość stron:
253
Waga:
0.56 kg
Wymiary:
23.39 x 15.6 x 1.75
Oprawa:
Twarda
Wolumenów:
01
Dodatkowe informacje:
Wydanie ilustrowane

Solar Energy Collector Systems.- Models and Dynamics.- Predictive Adaptive Control with Linear Models.- Multiple-Model Adaptive Control.- Nonlinear Predictive Control.- Nonlinear Adaptive Control.- Flatness-Based Methods.- Appendices: Nomenclature; Solution of the DCSF PDE; Recursive Least Squares Deduction; MUSMAR as a Newton Minimization Algorithm; Derivation of the MUSMAR Dual Algorithm; Warped Time Optimization; Characterization of the Eigenvalues of the Linearized Tracking Dynamics; Stability of a Time-Varying Systems.

This book describes methods for adaptive control of distributed-collector solar fields: plants that collect solar energy and deliver it in thermal form. Controller design methods are presented that can overcome difficulties found in these type of plants:

  • they are distributed-parameter systems, i.e., systems with dynamics that depend on space as well as time;
  • their dynamics is nonlinear, with a bilinear structure;
  • there is a significant level of uncertainty in plant knowledge.

Adaptive methods form the focus of the text because of the degree of uncertainty in the knowledge of plant dynamics. Parts of the text are devoted to design methods that assume only a very limited knowledge about the plant. Other parts detail methods that rely on knowledge of the dominant plant structure. These methods are more plant specific, but allow the improvement of performance.

Adaptive Control of Solar Energy Collector Systems demonstrates the dynamics of solar fields to be rich enough to present a challenge to the control designer while, at the same time, simple enough to allow analytic work to be done, providing case studies on dynamics and nonlinear control design in a simple and revealing, but nontrivial way.

The control approaches treated in this monograph can be generalized to apply to other plants modelled by hyperbolic partial differential equations, especially process plants in which transport phenomena occur, plants like dryers, steam super-heaters and even highway traffic.

An important example, used repeatedly throughout the text, is a distributed-collector solar field installed at Plataforma Solar de Almeria, located in southern Spain. The control algorithms laid out in the text are illustrated with experimental results generated from this plant.

Although the primary focus of this monograph is solar energy collector, the range of other systems which can benefit from the methods described will make it of interest to control engineers working in many industries as well as to academic control researchers interested in adaptive control and its applications.

Advances in Industrial Control aims to report and encourage the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.



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