Download e-book for iPad: Adaptive Control of Solar Energy Collector Systems by João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)

By João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)

ISBN-10: 0857299158

ISBN-13: 9780857299154

ISBN-10: 3319068520

ISBN-13: 9783319068527

ISBN-10: 3319068539

ISBN-13: 9783319068534

This publication describes tools for adaptive keep an eye on of distributed-collector sun fields: vegetation that acquire solar power and carry it in thermal shape. Controller layout equipment are offered which could conquer problems present in those form of plants:

  • they are distributed-parameter structures, i.e., platforms with dynamics that rely on area in addition to time;
  • their dynamics is nonlinear, with a bilinear structure;
  • there is an important point of uncertainty in plant knowledge.

Adaptive tools shape the focal point of the textual content as a result measure of uncertainty within the wisdom of plant dynamics. elements of the textual content are dedicated to layout tools that suppose just a very constrained wisdom concerning the plant. different elements element tools that depend on wisdom of the dominant plant constitution. those equipment are extra plant particular, yet enable the advance of performance.

Adaptive keep watch over of solar power Collector Systems demonstrates the dynamics of sun fields to be wealthy adequate to offer a problem to the keep an eye on fashion designer whereas, whilst, easy sufficient to permit analytic paintings to be performed, delivering case reviews on dynamics and nonlinear keep watch over layout in an easy and revealing, yet nontrivial way.

The regulate methods taken care of during this monograph should be generalized to use to different vegetation modelled by means of hyperbolic partial differential equations, in particular procedure crops during which shipping phenomena take place, crops like dryers, steam super-heaters or even street traffic.

An vital instance, used again and again during the textual content, is a distributed-collector sun box put in at Plataforma sun de Almeria, positioned in southern Spain. The keep an eye on algorithms specified by the textual content are illustrated with experimental effects generated from this plant.

Although the first concentration of this monograph is solar power collector, the variety of different platforms that could enjoy the equipment defined will make it of curiosity to manage engineers operating in lots of industries in addition to to educational keep watch over researchers drawn to adaptive regulate and its applications.

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Extra info for Adaptive Control of Solar Energy Collector Systems

Sample text

The first term, −α1 (Ts4 − Te4 ), models losses by radiation and corresponds to what is known in physics as Boltzman’s Law. Due to the dependence on the fourth power of the temperature, this term embeds a strong nonlinearity in the dynamics, a fact that shapes the type of control used in this type of plant. The second term, that depends linearly on the temperature, accounts for losses due to conduction and convection. Finally, the third term represents the incoming energy from solar radiation. This is modulated by the shutter position.

16 Simulation of a distributed collector field controlled by a PID, demonstrating non-linear behaviour. Bottom plot The manipulated variable. Top plot Outlet fluid temperature and the corresponding reference be closed with a controller that is robust with respect to changes in plant delay. A suitable controller is provided by some Model Predictive Control algorithms. More details on adaptive cascade control solutions will be provided in Chap. 3. In general, unless explicitly stated otherwise, when we consider the control of the field, we refer to the situation of Fig.

9) with two different values of constant flow Fig. 6) to relate the respective temperature distributions. 13) provides an approximate way to compute the temperature distribution at time t + αt from a previously known temperature distribution at time t. As shown in Fig. 7, to compute the temperature at position z, at time t + αt, one should take the value of temperature at position z − u(t)αt, at time t, multiply it by the attenuation due to losses, and then add the effect of radiation. This computation reflects the fact that the fluid is moving to the right with a velocity that, in the time interval [t, t + αt], is approximately u(t) and, therefore, the fluid particle that was at position z − u(t)αt at time t moves forward to the right by a distance of u(t)αt.

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Adaptive Control of Solar Energy Collector Systems by João M. Lemos, Rui Neves-Silva, José M. Igreja (auth.)

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